From e57290acf6ae80efbd1f51c9d705981f22df33e4 Mon Sep 17 00:00:00 2001 From: Onno Kampman Date: Sat, 25 May 2024 14:27:48 +0800 Subject: [PATCH 1/9] update path --- .../save_TVFC_estimates_summary_measures.py | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/benchmarks/fmri/sim/TVFC_summary_measures/save_TVFC_estimates_summary_measures.py b/benchmarks/fmri/sim/TVFC_summary_measures/save_TVFC_estimates_summary_measures.py index fabb928a..d72e3505 100644 --- a/benchmarks/fmri/sim/TVFC_summary_measures/save_TVFC_estimates_summary_measures.py +++ b/benchmarks/fmri/sim/TVFC_summary_measures/save_TVFC_estimates_summary_measures.py @@ -92,8 +92,7 @@ ) # (D, D) tvfc_estimates_git_savedir = os.path.join( - cfg['git-results-basedir'], noise_type, data_split, 'TVFC_estimates_summary_measures', f'trial_{i_trial:03d}', - data_split, metric + cfg['git-results-basedir'], noise_type, data_split, 'TVFC_estimates_summary_measures', f'trial_{i_trial:03d}', metric ) if not os.path.exists(tvfc_estimates_git_savedir): os.makedirs(tvfc_estimates_git_savedir) From 696e4f656c51fff22a4c448f25c248070b9fb4e5 Mon Sep 17 00:00:00 2001 From: Onno Kampman Date: Sat, 25 May 2024 14:32:46 +0800 Subject: [PATCH 2/9] add summary measures --- configs/configs.py | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/configs/configs.py b/configs/configs.py index 4cac7fa7..2529d305 100644 --- a/configs/configs.py +++ b/configs/configs.py @@ -381,6 +381,12 @@ def _get_simulations_shared_config_dict(shared_config_dict: dict, benchmark_dime 'plot-lengthscales-window-lengths': (12, 10), 'plot-data-xlim': [-0.00, 1.00], 'repetition-time': 1, # synthetic TR is one second for simplicity + 'TVFC-summary-measures': [ + 'ar1', + 'mean', + 'variance', + 'rate_of_change', + ], 'window-lengths': [ 15, 30, From 9abf454ea9eff4bcc012a23f875edd2ac0c32d82 Mon Sep 17 00:00:00 2001 From: Onno Kampman Date: Sat, 25 May 2024 14:38:14 +0800 Subject: [PATCH 3/9] minor fix --- .../save_TVFC_estimates_summary_measures.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/benchmarks/fmri/sim/TVFC_summary_measures/save_TVFC_estimates_summary_measures.py b/benchmarks/fmri/sim/TVFC_summary_measures/save_TVFC_estimates_summary_measures.py index d72e3505..5798cee9 100644 --- a/benchmarks/fmri/sim/TVFC_summary_measures/save_TVFC_estimates_summary_measures.py +++ b/benchmarks/fmri/sim/TVFC_summary_measures/save_TVFC_estimates_summary_measures.py @@ -37,7 +37,7 @@ for noise_type in cfg['noise-types']: - for covs_type in cfg['covs-types']: + for covs_type in cfg['all-covs-types']: for i_trial in range(num_trials): From 4f62ae990f278944093737e3df07018015567308 Mon Sep 17 00:00:00 2001 From: "onno.kampman@gmail.com" Date: Sat, 25 May 2024 07:44:00 +0100 Subject: [PATCH 4/9] update some sim results --- .../LEOO/optimal_window_lengths.csv | 201 ++++++++++++++++++ .../boxcar_between_method_performance_T.csv | 11 + ...car_between_method_performance_cohen_d.csv | 11 + ...xcar_between_method_performance_ptests.csv | 11 + ...oxcar_between_method_performance_pvals.csv | 11 + .../boxcar_between_method_performance_T.csv | 11 + ...car_between_method_performance_cohen_d.csv | 11 + ...xcar_between_method_performance_ptests.csv | 11 + ...oxcar_between_method_performance_pvals.csv | 11 + .../LEOO/optimal_window_lengths.csv | 201 ++++++++++++++++++ .../boxcar_between_method_performance_T.csv | 11 + ...car_between_method_performance_cohen_d.csv | 11 + ...xcar_between_method_performance_ptests.csv | 11 + ...oxcar_between_method_performance_pvals.csv | 11 + .../boxcar_between_method_performance_T.csv | 11 + ...car_between_method_performance_cohen_d.csv | 11 + ...xcar_between_method_performance_ptests.csv | 11 + ...oxcar_between_method_performance_pvals.csv | 11 + .../LEOO/optimal_window_lengths.csv | 201 ++++++++++++++++++ .../boxcar_between_method_performance_T.csv | 11 + ...car_between_method_performance_cohen_d.csv | 11 + ...xcar_between_method_performance_ptests.csv | 11 + ...oxcar_between_method_performance_pvals.csv | 11 + .../boxcar_between_method_performance_T.csv | 11 + ...car_between_method_performance_cohen_d.csv | 11 + ...xcar_between_method_performance_ptests.csv | 11 + ...oxcar_between_method_performance_pvals.csv | 11 + .../no_noise/LEOO/optimal_window_lengths.csv | 201 ++++++++++++++++++ .../boxcar_between_method_performance_T.csv | 11 + ...car_between_method_performance_cohen_d.csv | 11 + ...xcar_between_method_performance_ptests.csv | 11 + ...oxcar_between_method_performance_pvals.csv | 11 + .../boxcar_between_method_performance_T.csv | 11 + ...car_between_method_performance_cohen_d.csv | 11 + ...xcar_between_method_performance_ptests.csv | 11 + ...oxcar_between_method_performance_pvals.csv | 11 + ...ss_validated_TVFC_ar1_mean_over_trials.csv | 4 + ...s_validated_TVFC_mean_mean_over_trials.csv | 4 + ...d_TVFC_rate_of_change_mean_over_trials.csv | 4 + ...lidated_TVFC_variance_mean_over_trials.csv | 4 + ...oint_kernel_lengthscales_kernel_params.csv | 11 + ...WP_joint_kernel_variance_kernel_params.csv | 11 + ...ss_validated_TVFC_ar1_mean_over_trials.csv | 4 + ...s_validated_TVFC_mean_mean_over_trials.csv | 4 + ...d_TVFC_rate_of_change_mean_over_trials.csv | 4 + ...lidated_TVFC_variance_mean_over_trials.csv | 4 + ...oint_kernel_lengthscales_kernel_params.csv | 11 + ...WP_joint_kernel_variance_kernel_params.csv | 11 + ...ss_validated_TVFC_ar1_mean_over_trials.csv | 4 + ...s_validated_TVFC_mean_mean_over_trials.csv | 4 + ...d_TVFC_rate_of_change_mean_over_trials.csv | 4 + ...lidated_TVFC_variance_mean_over_trials.csv | 4 + ...oint_kernel_lengthscales_kernel_params.csv | 11 + ...WP_joint_kernel_variance_kernel_params.csv | 11 + ...ss_validated_TVFC_ar1_mean_over_trials.csv | 4 + ...s_validated_TVFC_mean_mean_over_trials.csv | 4 + ...d_TVFC_rate_of_change_mean_over_trials.csv | 4 + ...lidated_TVFC_variance_mean_over_trials.csv | 4 + ...oint_kernel_lengthscales_kernel_params.csv | 11 + ...WP_joint_kernel_variance_kernel_params.csv | 11 + .../LEOO/optimal_window_lengths.csv | 201 ++++++++++++++++++ .../boxcar_between_method_performance_T.csv | 11 + ...car_between_method_performance_cohen_d.csv | 11 + ...xcar_between_method_performance_ptests.csv | 11 + ...oxcar_between_method_performance_pvals.csv | 11 + .../boxcar_between_method_performance_T.csv | 11 + ...car_between_method_performance_cohen_d.csv | 11 + ...xcar_between_method_performance_ptests.csv | 11 + ...oxcar_between_method_performance_pvals.csv | 11 + .../boxcar_between_method_performance_T.csv | 11 + ...car_between_method_performance_cohen_d.csv | 11 + ...xcar_between_method_performance_ptests.csv | 11 + ...oxcar_between_method_performance_pvals.csv | 11 + .../boxcar_between_method_performance_T.csv | 11 + ...car_between_method_performance_cohen_d.csv | 11 + ...xcar_between_method_performance_ptests.csv | 11 + ...oxcar_between_method_performance_pvals.csv | 11 + .../LEOO/optimal_window_lengths.csv | 201 ++++++++++++++++++ .../boxcar_between_method_performance_T.csv | 11 + ...car_between_method_performance_cohen_d.csv | 11 + ...xcar_between_method_performance_ptests.csv | 11 + ...oxcar_between_method_performance_pvals.csv | 11 + .../boxcar_between_method_performance_T.csv | 11 + ...car_between_method_performance_cohen_d.csv | 11 + ...xcar_between_method_performance_ptests.csv | 11 + ...oxcar_between_method_performance_pvals.csv | 11 + .../boxcar_between_method_performance_T.csv | 11 + ...car_between_method_performance_cohen_d.csv | 11 + ...xcar_between_method_performance_ptests.csv | 11 + ...oxcar_between_method_performance_pvals.csv | 11 + .../boxcar_between_method_performance_T.csv | 11 + ...car_between_method_performance_cohen_d.csv | 11 + ...xcar_between_method_performance_ptests.csv | 11 + ...oxcar_between_method_performance_pvals.csv | 11 + .../LEOO/optimal_window_lengths.csv | 201 ++++++++++++++++++ .../boxcar_between_method_performance_T.csv | 11 + ...car_between_method_performance_cohen_d.csv | 11 + ...xcar_between_method_performance_ptests.csv | 11 + ...oxcar_between_method_performance_pvals.csv | 11 + .../boxcar_between_method_performance_T.csv | 11 + ...car_between_method_performance_cohen_d.csv | 11 + ...xcar_between_method_performance_ptests.csv | 11 + ...oxcar_between_method_performance_pvals.csv | 11 + .../boxcar_between_method_performance_T.csv | 11 + ...car_between_method_performance_cohen_d.csv | 11 + ...xcar_between_method_performance_ptests.csv | 11 + ...oxcar_between_method_performance_pvals.csv | 11 + .../boxcar_between_method_performance_T.csv | 11 + ...car_between_method_performance_cohen_d.csv | 11 + ...xcar_between_method_performance_ptests.csv | 11 + ...oxcar_between_method_performance_pvals.csv | 11 + .../no_noise/LEOO/optimal_window_lengths.csv | 201 ++++++++++++++++++ .../boxcar_between_method_performance_T.csv | 11 + ...car_between_method_performance_cohen_d.csv | 11 + ...xcar_between_method_performance_ptests.csv | 11 + ...oxcar_between_method_performance_pvals.csv | 11 + .../boxcar_between_method_performance_T.csv | 11 + ...car_between_method_performance_cohen_d.csv | 11 + ...xcar_between_method_performance_ptests.csv | 11 + ...oxcar_between_method_performance_pvals.csv | 11 + .../boxcar_between_method_performance_T.csv | 11 + ...car_between_method_performance_cohen_d.csv | 11 + ...xcar_between_method_performance_ptests.csv | 11 + ...oxcar_between_method_performance_pvals.csv | 11 + .../boxcar_between_method_performance_T.csv | 11 + ...car_between_method_performance_cohen_d.csv | 11 + ...xcar_between_method_performance_ptests.csv | 11 + ...oxcar_between_method_performance_pvals.csv | 11 + 128 files changed, 2816 insertions(+) create mode 100644 results/fmri/sim/d3d/N0200_T0200/HCP_noise_snr_1/LEOO/optimal_window_lengths.csv create mode 100644 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+SVWP_joint,,,-12.21,-7.24,7.63,19.95,-4.07,7.76,3.34,-7.32 +DCC_joint,,-12.21,,5.26,20.77,35.50,8.13,22.88,15.70,6.13 +DCC_bivariate_loop,,-7.24,5.26,,15.53,29.48,3.08,16.80,10.72,0.41 +SW_cross_validated,,7.63,20.77,15.53,,12.00,-11.97,-0.71,-4.17,-16.15 +SW_15,,19.95,35.50,29.48,12.00,,-24.96,-14.25,-16.13,-31.21 +SW_30,,-4.07,8.13,3.08,-11.97,-24.96,,12.64,7.45,-2.90 +SW_60,,7.76,22.88,16.80,-0.71,-14.25,12.64,,-3.92,-17.77 +SW_120,,3.34,15.70,10.72,-4.17,-16.13,7.45,-3.92,,-11.01 +sFC,,-7.32,6.13,0.41,-16.15,-31.21,-2.90,-17.77,-11.01, diff --git a/results/fmri/sim/d3d/N0200_T0200/HCP_noise_snr_1/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_cohen_d.csv b/results/fmri/sim/d3d/N0200_T0200/HCP_noise_snr_1/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_cohen_d.csv new file mode 100644 index 00000000..32ab5b74 --- /dev/null +++ b/results/fmri/sim/d3d/N0200_T0200/HCP_noise_snr_1/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_cohen_d.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,,,,,,,,,, +SVWP_joint,,,1.22,0.72,0.76,1.99,0.41,0.78,0.33,0.73 +DCC_joint,,1.22,,0.53,2.08,3.55,0.81,2.29,1.57,0.61 +DCC_bivariate_loop,,0.72,0.53,,1.55,2.95,0.31,1.68,1.07,0.04 +SW_cross_validated,,0.76,2.08,1.55,,1.20,1.20,0.07,0.42,1.61 +SW_15,,1.99,3.55,2.95,1.20,,2.50,1.42,1.61,3.12 +SW_30,,0.41,0.81,0.31,1.20,2.50,,1.26,0.75,0.29 +SW_60,,0.78,2.29,1.68,0.07,1.42,1.26,,0.39,1.78 +SW_120,,0.33,1.57,1.07,0.42,1.61,0.75,0.39,,1.10 +sFC,,0.73,0.61,0.04,1.61,3.12,0.29,1.78,1.10, diff --git a/results/fmri/sim/d3d/N0200_T0200/HCP_noise_snr_1/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_ptests.csv b/results/fmri/sim/d3d/N0200_T0200/HCP_noise_snr_1/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_ptests.csv new file mode 100644 index 00000000..dd219c0d --- /dev/null +++ b/results/fmri/sim/d3d/N0200_T0200/HCP_noise_snr_1/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_ptests.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,-,nan,nan,nan,nan,nan,nan,nan,nan,nan +SVWP_joint,nan,-,0.0000,0.0000,0.0000,0.0000,0.0020,0.0000,0.0333,0.0000 +DCC_joint,nan,12.2082,-,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000 +DCC_bivariate_loop,nan,7.2353,-5.2632,-,0.0000,0.0000,0.0808,0.0000,0.0000,1. +SW_cross_validated,nan,-7.6312,-20.7666,-15.5321,-,0.0000,0.0000,1.,0.0013,0.0000 +SW_15,nan,-19.9463,-35.5021,-29.4757,-12.0011,-,0.0000,0.0000,0.0000,0.0000 +SW_30,nan,4.0728,-8.1271,-3.0759,11.9665,24.9573,-,0.0000,0.0000,0.1429 +SW_60,nan,-7.7603,-22.8764,-16.7968,0.7088,14.2495,-12.6399,-,0.0037,0.0000 +SW_120,nan,-3.3379,-15.703,-10.7221,4.174,16.133,-7.4542,3.9231,-,0.0000 +sFC,nan,7.3179,-6.1272,-0.413,16.1472,31.2116,2.8976,17.7737,11.008,- diff --git a/results/fmri/sim/d3d/N0200_T0200/HCP_noise_snr_1/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_pvals.csv b/results/fmri/sim/d3d/N0200_T0200/HCP_noise_snr_1/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_pvals.csv new file mode 100644 index 00000000..01f855c4 --- /dev/null +++ b/results/fmri/sim/d3d/N0200_T0200/HCP_noise_snr_1/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_pvals.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,,,,,,,,,, +SVWP_joint,,,2.4663e-29,2.4077e-12,1.7373e-13,7.2800e-62,5.6064e-05,7.2103e-14,9.2372e-04,1.4023e-12 +DCC_joint,,2.4663e-29,,2.3198e-07,1.9987e-65,2.0881e-125,5.6132e-15,1.5196e-74,1.3769e-43,2.1523e-09 +DCC_bivariate_loop,,2.4077e-12,2.3198e-07,,7.2520e-43,4.1654e-102,2.2435e-03,3.0324e-48,9.8217e-24,6.7983e-01 +SW_cross_validated,,1.7373e-13,1.9987e-65,7.2520e-43,,1.5600e-28,2.1204e-28,4.7886e-01,3.6790e-05,1.7993e-45 +SW_15,,7.2800e-62,2.0881e-125,4.1654e-102,1.5600e-28,,1.9964e-83,1.6189e-37,2.0678e-45,5.1103e-109 +SW_30,,5.6064e-05,5.6132e-15,2.2435e-03,2.1204e-28,1.9964e-83,,5.0479e-31,5.6956e-13,3.9681e-03 +SW_60,,7.2103e-14,1.5196e-74,3.0324e-48,4.7886e-01,1.6189e-37,5.0479e-31,,1.0295e-04,1.9036e-52 +SW_120,,9.2372e-04,1.3769e-43,9.8217e-24,3.6790e-05,2.0678e-45,5.6956e-13,1.0295e-04,,8.7773e-25 +sFC,,1.4023e-12,2.1523e-09,6.7983e-01,1.7993e-45,5.1103e-109,3.9681e-03,1.9036e-52,8.7773e-25, diff --git a/results/fmri/sim/d3d/N0200_T0200/HCP_noise_snr_1/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_T.csv b/results/fmri/sim/d3d/N0200_T0200/HCP_noise_snr_1/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_T.csv new file mode 100644 index 00000000..ea2840c6 --- /dev/null +++ b/results/fmri/sim/d3d/N0200_T0200/HCP_noise_snr_1/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_T.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,,,,,,,,,, +SVWP_joint,,,-10.79,-9.99,3.50,21.44,6.53,3.54,-0.54,-18.82 +DCC_joint,,-10.79,,1.83,24.76,73.20,37.50,30.92,18.03,-17.56 +DCC_bivariate_loop,,-9.99,1.83,,23.55,72.44,36.22,29.55,16.72,-19.66 +SW_cross_validated,,3.50,24.76,23.55,,30.78,4.79,-0.31,-6.37,-38.65 +SW_15,,21.44,73.20,72.44,30.78,,-33.42,-40.10,-39.69,-92.66 +SW_30,,6.53,37.50,36.22,4.79,-33.42,,-6.44,-12.49,-55.43 +SW_60,,3.54,30.92,29.55,-0.31,-40.10,-6.44,,-7.21,-48.71 +SW_120,,-0.54,18.03,16.72,-6.37,-39.69,-12.49,-7.21,,-32.35 +sFC,,-18.82,-17.56,-19.66,-38.65,-92.66,-55.43,-48.71,-32.35, diff --git a/results/fmri/sim/d3d/N0200_T0200/HCP_noise_snr_1/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_cohen_d.csv b/results/fmri/sim/d3d/N0200_T0200/HCP_noise_snr_1/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_cohen_d.csv new file mode 100644 index 00000000..70bfd71b --- /dev/null +++ b/results/fmri/sim/d3d/N0200_T0200/HCP_noise_snr_1/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_cohen_d.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,,,,,,,,,, +SVWP_joint,,,1.08,1.00,0.35,2.14,0.65,0.35,0.05,1.88 +DCC_joint,,1.08,,0.18,2.48,7.32,3.75,3.09,1.80,1.76 +DCC_bivariate_loop,,1.00,0.18,,2.35,7.24,3.62,2.95,1.67,1.97 +SW_cross_validated,,0.35,2.48,2.35,,3.08,0.48,0.03,0.64,3.87 +SW_15,,2.14,7.32,7.24,3.08,,3.34,4.01,3.97,9.27 +SW_30,,0.65,3.75,3.62,0.48,3.34,,0.64,1.25,5.54 +SW_60,,0.35,3.09,2.95,0.03,4.01,0.64,,0.72,4.87 +SW_120,,0.05,1.80,1.67,0.64,3.97,1.25,0.72,,3.24 +sFC,,1.88,1.76,1.97,3.87,9.27,5.54,4.87,3.24, diff --git a/results/fmri/sim/d3d/N0200_T0200/HCP_noise_snr_1/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_ptests.csv b/results/fmri/sim/d3d/N0200_T0200/HCP_noise_snr_1/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_ptests.csv new file mode 100644 index 00000000..d01390d1 --- /dev/null +++ b/results/fmri/sim/d3d/N0200_T0200/HCP_noise_snr_1/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_ptests.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,-,nan,nan,nan,nan,nan,nan,nan,nan,nan +SVWP_joint,nan,-,0.0000,0.0000,0.0187,0.0000,0.0000,0.0164,1.,0.0000 +DCC_joint,nan,10.79,-,1.,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000 +DCC_bivariate_loop,nan,9.9912,-1.8267,-,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000 +SW_cross_validated,nan,-3.4992,-24.7552,-23.5465,-,0.0000,0.0001,1.,0.0000,0.0000 +SW_15,nan,-21.441,-73.1971,-72.4374,-30.7753,-,0.0000,0.0000,0.0000,0.0000 +SW_30,nan,-6.533,-37.5041,-36.2188,-4.7904,33.4153,-,0.0000,0.0000,0.0000 +SW_60,nan,-3.5355,-30.9211,-29.5451,0.3091,40.102,6.4412,-,0.0000,0.0000 +SW_120,nan,0.5371,-18.0267,-16.7211,6.3675,39.695,12.4918,7.2063,-,0.0000 +sFC,nan,18.8196,17.5574,19.6648,38.6524,92.665,55.4309,48.7127,32.3527,- diff --git a/results/fmri/sim/d3d/N0200_T0200/HCP_noise_snr_1/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_pvals.csv b/results/fmri/sim/d3d/N0200_T0200/HCP_noise_snr_1/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_pvals.csv new file mode 100644 index 00000000..1dbe8bfe --- /dev/null +++ b/results/fmri/sim/d3d/N0200_T0200/HCP_noise_snr_1/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_pvals.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,,,,,,,,,, +SVWP_joint,,,5.5506e-24,4.0276e-21,5.1932e-04,2.3856e-68,1.9738e-10,4.5482e-04,5.9149e-01,5.6637e-57 +DCC_joint,,5.5506e-24,,6.8486e-02,1.4328e-82,5.4048e-233,1.0337e-132,7.1459e-108,1.5369e-53,1.6318e-51 +DCC_bivariate_loop,,4.0276e-21,6.8486e-02,,2.0270e-77,2.5729e-231,4.7804e-128,2.1893e-102,6.4003e-48,1.2143e-60 +SW_cross_validated,,5.1932e-04,1.4328e-82,2.0270e-77,,2.6970e-107,2.3525e-06,7.5743e-01,5.3040e-10,8.3519e-137 +SW_15,,2.3856e-68,5.4048e-233,2.5729e-231,2.6970e-107,,1.4661e-117,7.1620e-142,1.8475e-140,1.7381e-271 +SW_30,,1.9738e-10,1.0337e-132,4.7804e-128,2.3525e-06,1.4661e-117,,3.4223e-10,1.9293e-30,2.9148e-189 +SW_60,,4.5482e-04,7.1459e-108,2.1893e-102,7.5743e-01,7.1620e-142,3.4223e-10,,2.9063e-12,8.5035e-170 +SW_120,,5.9149e-01,1.5369e-53,6.4003e-48,5.3040e-10,1.8475e-140,1.9293e-30,2.9063e-12,,1.7880e-113 +sFC,,5.6637e-57,1.6318e-51,1.2143e-60,8.3519e-137,1.7381e-271,2.9148e-189,8.5035e-170,1.7880e-113, diff --git a/results/fmri/sim/d3d/N0200_T0200/HCP_noise_snr_2/LEOO/optimal_window_lengths.csv b/results/fmri/sim/d3d/N0200_T0200/HCP_noise_snr_2/LEOO/optimal_window_lengths.csv new file mode 100644 index 00000000..f4ce0cc6 --- /dev/null +++ b/results/fmri/sim/d3d/N0200_T0200/HCP_noise_snr_2/LEOO/optimal_window_lengths.csv @@ -0,0 +1,201 @@ +,null,constant,periodic_1,periodic_2,periodic_3,stepwise,state_transition +0,47,49,37,21,23,47,47 +1,39,21,29,21,21,23,49 +2,49,35,25,23,21,31,45 +3,43,49,33,21,23,37,49 +4,49,27,25,29,29,31,49 +5,47,39,27,35,21,29,39 +6,49,43,35,33,21,25,49 +7,37,39,21,25,21,27,43 +8,47,31,41,21,23,21,49 +9,47,37,31,23,27,39,49 +10,49,21,29,33,21,39,47 +11,43,49,29,23,25,27,35 +12,27,49,35,21,23,49,49 +13,41,47,35,21,21,29,49 +14,29,47,39,21,21,49,45 +15,35,45,45,21,21,49,31 +16,41,23,47,25,23,43,47 +17,39,41,39,21,37,39,49 +18,45,47,21,23,29,47,41 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b/results/fmri/sim/d3d/N0200_T0200/HCP_noise_snr_2/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_T.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,,,,,,,,,, +SVWP_joint,,,-17.73,-15.13,-10.09,-14.54,-26.75,11.87,7.85,4.62 +DCC_joint,,-17.73,,3.43,1.65,2.13,-13.47,42.30,33.24,36.63 +DCC_bivariate_loop,,-15.13,3.43,,-0.21,-0.83,-16.31,38.38,29.81,32.13 +SW_cross_validated,,-10.09,1.65,-0.21,,-0.30,-9.77,19.87,16.81,15.00 +SW_15,,-14.54,2.13,-0.83,-0.30,,-13.94,33.35,26.82,26.98 +SW_30,,-26.75,-13.47,-16.31,-9.77,-13.94,,48.80,41.28,44.00 +SW_60,,11.87,42.30,38.38,19.87,33.35,48.80,,-4.66,-13.90 +SW_120,,7.85,33.24,29.81,16.81,26.82,41.28,-4.66,,-6.16 +sFC,,4.62,36.63,32.13,15.00,26.98,44.00,-13.90,-6.16, diff --git a/results/fmri/sim/d3d/N0200_T0200/HCP_noise_snr_2/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_cohen_d.csv b/results/fmri/sim/d3d/N0200_T0200/HCP_noise_snr_2/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_cohen_d.csv new file mode 100644 index 00000000..67e2f6fa --- /dev/null +++ b/results/fmri/sim/d3d/N0200_T0200/HCP_noise_snr_2/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_cohen_d.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,,,,,,,,,, +SVWP_joint,,,1.77,1.51,1.01,1.45,2.68,1.19,0.78,0.46 +DCC_joint,,1.77,,0.34,0.17,0.21,1.35,4.23,3.32,3.66 +DCC_bivariate_loop,,1.51,0.34,,0.02,0.08,1.63,3.84,2.98,3.21 +SW_cross_validated,,1.01,0.17,0.02,,0.03,0.98,1.99,1.68,1.50 +SW_15,,1.45,0.21,0.08,0.03,,1.39,3.34,2.68,2.70 +SW_30,,2.68,1.35,1.63,0.98,1.39,,4.88,4.13,4.40 +SW_60,,1.19,4.23,3.84,1.99,3.34,4.88,,0.47,1.39 +SW_120,,0.78,3.32,2.98,1.68,2.68,4.13,0.47,,0.62 +sFC,,0.46,3.66,3.21,1.50,2.70,4.40,1.39,0.62, diff --git a/results/fmri/sim/d3d/N0200_T0200/HCP_noise_snr_2/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_ptests.csv b/results/fmri/sim/d3d/N0200_T0200/HCP_noise_snr_2/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_ptests.csv new file mode 100644 index 00000000..2265576c --- /dev/null +++ b/results/fmri/sim/d3d/N0200_T0200/HCP_noise_snr_2/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_ptests.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,-,nan,nan,nan,nan,nan,nan,nan,nan,nan +SVWP_joint,nan,-,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0002 +DCC_joint,nan,17.733,-,0.0243,1.,1.,0.0000,0.0000,0.0000,0.0000 +DCC_bivariate_loop,nan,15.1279,-3.4267,-,1.,1.,0.0000,0.0000,0.0000,0.0000 +SW_cross_validated,nan,10.086,-1.6543,0.2088,-,1.,0.0000,0.0000,0.0000,0.0000 +SW_15,nan,14.5364,-2.1298,0.8316,0.3003,-,0.0000,0.0000,0.0000,0.0000 +SW_30,nan,26.7513,13.471,16.3095,9.7707,13.9359,-,0.0000,0.0000,0.0000 +SW_60,nan,-11.8686,-42.3035,-38.3842,-19.8668,-33.3507,-48.7972,-,0.0002,0.0000 +SW_120,nan,-7.8492,-33.2373,-29.8077,-16.8147,-26.8151,-41.2823,4.6561,-,0.0000 +sFC,nan,-4.6234,-36.6342,-32.1273,-15.0043,-26.9799,-43.9992,13.8992,6.1589,- diff --git a/results/fmri/sim/d3d/N0200_T0200/HCP_noise_snr_2/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_pvals.csv b/results/fmri/sim/d3d/N0200_T0200/HCP_noise_snr_2/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_pvals.csv new file mode 100644 index 00000000..8b222d81 --- /dev/null +++ b/results/fmri/sim/d3d/N0200_T0200/HCP_noise_snr_2/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_pvals.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,,,,,,,,,, +SVWP_joint,,,2.8532e-52,3.6239e-41,1.8704e-21,1.0568e-38,5.9217e-91,5.0422e-28,3.9146e-14,5.1112e-06 +DCC_joint,,2.8532e-52,,6.7459e-04,9.8864e-02,3.3801e-02,2.4287e-34,2.3367e-149,7.0209e-117,1.4523e-129 +DCC_bivariate_loop,,3.6239e-41,6.7459e-04,,8.3468e-01,4.0615e-01,3.6633e-46,7.4364e-136,1.9314e-103,1.3395e-112 +SW_cross_validated,,1.8704e-21,9.8864e-02,8.3468e-01,,7.6409e-01,2.3579e-20,1.6119e-61,2.5414e-48,1.1924e-40 +SW_15,,1.0568e-38,3.3801e-02,4.0615e-01,7.6409e-01,,3.1316e-36,2.5866e-117,3.2156e-91,6.6553e-92 +SW_30,,5.9217e-91,2.4287e-34,3.6633e-46,2.3579e-20,3.1316e-36,,4.7076e-170,6.4651e-146,5.8816e-155 +SW_60,,5.0422e-28,2.3367e-149,7.4364e-136,1.6119e-61,2.5866e-117,4.7076e-170,,4.3970e-06,4.4250e-36 +SW_120,,3.9146e-14,7.0209e-117,1.9314e-103,2.5414e-48,3.2156e-91,6.4651e-146,4.3970e-06,,1.7932e-09 +sFC,,5.1112e-06,1.4523e-129,1.3395e-112,1.1924e-40,6.6553e-92,5.8816e-155,4.4250e-36,1.7932e-09, diff --git a/results/fmri/sim/d3d/N0200_T0200/HCP_noise_snr_2/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_T.csv b/results/fmri/sim/d3d/N0200_T0200/HCP_noise_snr_2/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_T.csv new file mode 100644 index 00000000..905e2953 --- /dev/null +++ b/results/fmri/sim/d3d/N0200_T0200/HCP_noise_snr_2/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_T.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,,,,,,,,,, +SVWP_joint,,,-28.54,-26.55,-1.96,15.62,-8.16,13.69,9.55,-9.91 +DCC_joint,,-28.54,,2.16,22.71,44.95,20.50,54.32,39.30,30.92 +DCC_bivariate_loop,,-26.55,2.16,,21.04,42.96,18.47,51.34,37.25,27.65 +SW_cross_validated,,-1.96,22.71,21.04,,16.06,-5.27,14.09,10.56,-5.89 +SW_15,,15.62,44.95,42.96,16.06,,-24.02,-5.53,-6.34,-29.53 +SW_30,,-8.16,20.50,18.47,-5.27,-24.02,,24.48,18.03,0.60 +SW_60,,13.69,54.32,51.34,14.09,-5.53,24.48,,-2.11,-37.34 +SW_120,,9.55,39.30,37.25,10.56,-6.34,18.03,-2.11,,-22.47 +sFC,,-9.91,30.92,27.65,-5.89,-29.53,0.60,-37.34,-22.47, diff --git a/results/fmri/sim/d3d/N0200_T0200/HCP_noise_snr_2/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_cohen_d.csv b/results/fmri/sim/d3d/N0200_T0200/HCP_noise_snr_2/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_cohen_d.csv new file mode 100644 index 00000000..8197cfb4 --- /dev/null +++ b/results/fmri/sim/d3d/N0200_T0200/HCP_noise_snr_2/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_cohen_d.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,,,,,,,,,, +SVWP_joint,,,2.85,2.66,0.20,1.56,0.82,1.37,0.96,0.99 +DCC_joint,,2.85,,0.22,2.27,4.50,2.05,5.43,3.93,3.09 +DCC_bivariate_loop,,2.66,0.22,,2.10,4.30,1.85,5.13,3.73,2.77 +SW_cross_validated,,0.20,2.27,2.10,,1.61,0.53,1.41,1.06,0.59 +SW_15,,1.56,4.50,4.30,1.61,,2.40,0.55,0.63,2.95 +SW_30,,0.82,2.05,1.85,0.53,2.40,,2.45,1.80,0.06 +SW_60,,1.37,5.43,5.13,1.41,0.55,2.45,,0.21,3.73 +SW_120,,0.96,3.93,3.73,1.06,0.63,1.80,0.21,,2.25 +sFC,,0.99,3.09,2.77,0.59,2.95,0.06,3.73,2.25, diff --git a/results/fmri/sim/d3d/N0200_T0200/HCP_noise_snr_2/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_ptests.csv b/results/fmri/sim/d3d/N0200_T0200/HCP_noise_snr_2/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_ptests.csv new file mode 100644 index 00000000..9a3a860a --- /dev/null +++ b/results/fmri/sim/d3d/N0200_T0200/HCP_noise_snr_2/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_ptests.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,-,nan,nan,nan,nan,nan,nan,nan,nan,nan +SVWP_joint,nan,-,0.0000,0.0000,1.,0.0000,0.0000,0.0000,0.0000,0.0000 +DCC_joint,nan,28.5363,-,1.,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000 +DCC_bivariate_loop,nan,26.5521,-2.1565,-,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000 +SW_cross_validated,nan,1.9599,-22.7146,-21.0371,-,0.0000,0.0000,0.0000,0.0000,0.0000 +SW_15,nan,-15.624,-44.9503,-42.9599,-16.0619,-,0.0000,0.0000,0.0000,0.0000 +SW_30,nan,8.1623,-20.5025,-18.4699,5.2703,24.019,-,0.0000,0.0000,1. +SW_60,nan,-13.6855,-54.3219,-51.3351,-14.0901,5.5301,-24.4769,-,1.,0.0000 +SW_120,nan,-9.551,-39.2998,-37.2536,-10.5568,6.3366,-18.0259,2.106,-,0.0000 +sFC,nan,9.9108,-30.9152,-27.651,5.8871,29.5336,-0.6047,37.3435,22.4733,- diff --git a/results/fmri/sim/d3d/N0200_T0200/HCP_noise_snr_2/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_pvals.csv b/results/fmri/sim/d3d/N0200_T0200/HCP_noise_snr_2/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_pvals.csv new file mode 100644 index 00000000..3d134d3d --- /dev/null +++ b/results/fmri/sim/d3d/N0200_T0200/HCP_noise_snr_2/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_pvals.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,,,,,,,,,, +SVWP_joint,,,2.6568e-98,3.9942e-90,5.0701e-02,2.9690e-43,4.3753e-15,3.2833e-35,1.3394e-19,7.6918e-21 +DCC_joint,,2.6568e-98,,3.1642e-02,7.5501e-74,4.9058e-158,2.8001e-64,3.5557e-186,4.4187e-139,7.5394e-108 +DCC_bivariate_loop,,3.9942e-90,3.1642e-02,,1.3417e-66,1.5283e-151,1.8571e-55,1.2816e-177,8.2570e-132,1.1223e-94 +SW_cross_validated,,5.0701e-02,7.5501e-74,1.3417e-66,,4.1439e-45,2.2377e-07,7.3150e-37,3.9103e-23,8.3613e-09 +SW_15,,2.9690e-43,4.9058e-158,1.5283e-151,4.1439e-45,,1.9381e-79,5.8061e-08,6.3657e-10,2.4369e-102 +SW_30,,4.3753e-15,2.8001e-64,1.8571e-55,2.2377e-07,1.9381e-79,,2.1769e-81,1.5505e-53,5.4574e-01 +SW_60,,3.2833e-35,3.5557e-186,1.2816e-177,7.3150e-37,5.8061e-08,2.1769e-81,,3.5834e-02,3.9139e-132 +SW_120,,1.3394e-19,4.4187e-139,8.2570e-132,3.9103e-23,6.3657e-10,1.5505e-53,3.5834e-02,,8.2674e-73 +sFC,,7.6918e-21,7.5394e-108,1.1223e-94,8.3613e-09,2.4369e-102,5.4574e-01,3.9139e-132,8.2674e-73, diff --git a/results/fmri/sim/d3d/N0200_T0200/HCP_noise_snr_6/LEOO/optimal_window_lengths.csv b/results/fmri/sim/d3d/N0200_T0200/HCP_noise_snr_6/LEOO/optimal_window_lengths.csv new file mode 100644 index 00000000..dd6c5fc6 --- /dev/null +++ b/results/fmri/sim/d3d/N0200_T0200/HCP_noise_snr_6/LEOO/optimal_window_lengths.csv @@ -0,0 +1,201 @@ +,null,constant,periodic_1,periodic_2,periodic_3,stepwise,state_transition +0,45,45,27,23,21,25,49 +1,35,39,27,25,25,21,31 +2,49,43,25,31,23,41,49 +3,45,49,27,25,21,35,49 +4,29,35,33,21,23,25,39 +5,33,47,45,21,25,31,35 +6,49,39,25,39,23,39,31 +7,31,49,31,23,21,37,43 +8,35,35,21,25,23,23,49 +9,49,41,31,21,23,37,29 +10,41,49,33,23,21,23,23 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b/results/fmri/sim/d3d/N0200_T0200/HCP_noise_snr_6/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_T.csv new file mode 100644 index 00000000..e749d5d9 --- /dev/null +++ b/results/fmri/sim/d3d/N0200_T0200/HCP_noise_snr_6/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_T.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,,,,,,,,,, +SVWP_joint,,,-2.63,-1.87,-11.56,-10.93,-13.21,17.54,16.14,16.00 +DCC_joint,,-2.63,,1.68,-16.43,-16.48,-21.65,51.13,43.74,53.70 +DCC_bivariate_loop,,-1.87,1.68,,-17.63,-17.82,-23.02,48.64,41.58,50.70 +SW_cross_validated,,-11.56,-16.43,-17.63,,1.60,-1.80,53.76,49.17,53.93 +SW_15,,-10.93,-16.48,-17.82,1.60,,-3.82,59.73,53.71,61.23 +SW_30,,-13.21,-21.65,-23.02,-1.80,-3.82,,68.31,61.11,71.25 +SW_60,,17.54,51.13,48.64,53.76,59.73,68.31,,-3.10,-7.56 +SW_120,,16.14,43.74,41.58,49.17,53.71,61.11,-3.10,,-2.36 +sFC,,16.00,53.70,50.70,53.93,61.23,71.25,-7.56,-2.36, diff --git a/results/fmri/sim/d3d/N0200_T0200/HCP_noise_snr_6/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_cohen_d.csv b/results/fmri/sim/d3d/N0200_T0200/HCP_noise_snr_6/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_cohen_d.csv new file mode 100644 index 00000000..37943b38 --- /dev/null +++ b/results/fmri/sim/d3d/N0200_T0200/HCP_noise_snr_6/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_cohen_d.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,,,,,,,,,, +SVWP_joint,,,0.26,0.19,1.16,1.09,1.32,1.75,1.61,1.60 +DCC_joint,,0.26,,0.17,1.64,1.65,2.16,5.11,4.37,5.37 +DCC_bivariate_loop,,0.19,0.17,,1.76,1.78,2.30,4.86,4.16,5.07 +SW_cross_validated,,1.16,1.64,1.76,,0.16,0.18,5.38,4.92,5.39 +SW_15,,1.09,1.65,1.78,0.16,,0.38,5.97,5.37,6.12 +SW_30,,1.32,2.16,2.30,0.18,0.38,,6.83,6.11,7.13 +SW_60,,1.75,5.11,4.86,5.38,5.97,6.83,,0.31,0.76 +SW_120,,1.61,4.37,4.16,4.92,5.37,6.11,0.31,,0.24 +sFC,,1.60,5.37,5.07,5.39,6.12,7.13,0.76,0.24, diff --git a/results/fmri/sim/d3d/N0200_T0200/HCP_noise_snr_6/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_ptests.csv b/results/fmri/sim/d3d/N0200_T0200/HCP_noise_snr_6/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_ptests.csv new file mode 100644 index 00000000..3533f8d7 --- /dev/null +++ b/results/fmri/sim/d3d/N0200_T0200/HCP_noise_snr_6/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_ptests.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,-,nan,nan,nan,nan,nan,nan,nan,nan,nan +SVWP_joint,nan,-,0.3173,1.,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000 +DCC_joint,nan,2.6322,-,1.,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000 +DCC_bivariate_loop,nan,1.8672,-1.6829,-,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000 +SW_cross_validated,nan,11.5571,16.4252,17.6274,-,1.,1.,0.0000,0.0000,0.0000 +SW_15,nan,10.9332,16.4838,17.8241,-1.604,-,0.0057,0.0000,0.0000,0.0000 +SW_30,nan,13.2082,21.6485,23.0169,1.7961,3.8154,-,0.0000,0.0000,0.0000 +SW_60,nan,-17.545,-51.1313,-48.6386,-53.7581,-59.7348,-68.3061,-,0.0752,0.0000 +SW_120,nan,-16.1354,-43.7361,-41.582,-49.1662,-53.7052,-61.109,3.0977,-,0.6750 +sFC,nan,-16.0015,-53.7019,-50.6973,-53.9274,-61.2259,-71.2545,7.5573,2.3601,- diff --git a/results/fmri/sim/d3d/N0200_T0200/HCP_noise_snr_6/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_pvals.csv b/results/fmri/sim/d3d/N0200_T0200/HCP_noise_snr_6/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_pvals.csv new file mode 100644 index 00000000..9ad5ef07 --- /dev/null +++ b/results/fmri/sim/d3d/N0200_T0200/HCP_noise_snr_6/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_pvals.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,,,,,,,,,, +SVWP_joint,,,8.8136e-03,6.2605e-02,7.7460e-27,1.6557e-24,2.7746e-33,1.8468e-51,2.0189e-45,7.4817e-45 +DCC_joint,,8.8136e-03,,9.3187e-02,1.1765e-46,6.6147e-47,3.0143e-69,5.0732e-177,4.2547e-154,1.9840e-184 +DCC_bivariate_loop,,6.2605e-02,9.3187e-02,,8.1481e-52,1.1545e-52,3.7850e-75,1.4283e-169,6.2356e-147,9.6116e-176 +SW_cross_validated,,7.7460e-27,1.1765e-46,8.1481e-52,,1.0952e-01,7.3243e-02,1.3765e-184,3.5932e-171,4.5779e-185 +SW_15,,1.6557e-24,6.6147e-47,1.1545e-52,1.0952e-01,,1.5756e-04,8.3904e-201,1.9422e-184,1.2005e-204 +SW_30,,2.7746e-33,3.0143e-69,3.7850e-75,7.3243e-02,1.5756e-04,,6.4056e-222,2.3881e-204,1.1299e-228 +SW_60,,1.8468e-51,5.0732e-177,1.4283e-169,1.3765e-184,8.3904e-201,6.4056e-222,,2.0885e-03,2.8590e-13 +SW_120,,2.0189e-45,4.2547e-154,6.2356e-147,3.5932e-171,1.9422e-184,2.3881e-204,2.0885e-03,,1.8751e-02 +sFC,,7.4817e-45,1.9840e-184,9.6116e-176,4.5779e-185,1.2005e-204,1.1299e-228,2.8590e-13,1.8751e-02, diff --git a/results/fmri/sim/d3d/N0200_T0200/HCP_noise_snr_6/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_T.csv b/results/fmri/sim/d3d/N0200_T0200/HCP_noise_snr_6/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_T.csv new file mode 100644 index 00000000..ec3f56ef --- /dev/null +++ b/results/fmri/sim/d3d/N0200_T0200/HCP_noise_snr_6/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_T.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,,,,,,,,,, +SVWP_joint,,,-19.36,-18.36,-8.38,9.16,-8.92,15.95,13.26,5.12 +DCC_joint,,-19.36,,1.47,10.95,31.04,10.25,57.66,47.80,49.25 +DCC_bivariate_loop,,-18.36,1.47,,9.83,30.02,9.13,55.85,46.26,46.99 +SW_cross_validated,,-8.38,10.95,9.83,,18.34,-0.59,29.88,25.73,18.80 +SW_15,,9.16,31.04,30.02,18.34,,-18.89,4.18,2.11,-7.68 +SW_30,,-8.92,10.25,9.13,-0.59,-18.89,,30.64,26.43,19.63 +SW_60,,15.95,57.66,55.85,29.88,4.18,30.64,,-2.93,-26.46 +SW_120,,13.26,47.80,46.26,25.73,2.11,26.43,-2.93,,-16.98 +sFC,,5.12,49.25,46.99,18.80,-7.68,19.63,-26.46,-16.98, diff --git a/results/fmri/sim/d3d/N0200_T0200/HCP_noise_snr_6/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_cohen_d.csv b/results/fmri/sim/d3d/N0200_T0200/HCP_noise_snr_6/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_cohen_d.csv new file mode 100644 index 00000000..306218bf --- /dev/null +++ b/results/fmri/sim/d3d/N0200_T0200/HCP_noise_snr_6/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_cohen_d.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,,,,,,,,,, +SVWP_joint,,,1.94,1.84,0.84,0.92,0.89,1.60,1.33,0.51 +DCC_joint,,1.94,,0.15,1.10,3.10,1.02,5.77,4.78,4.93 +DCC_bivariate_loop,,1.84,0.15,,0.98,3.00,0.91,5.59,4.63,4.70 +SW_cross_validated,,0.84,1.10,0.98,,1.83,0.06,2.99,2.57,1.88 +SW_15,,0.92,3.10,3.00,1.83,,1.89,0.42,0.21,0.77 +SW_30,,0.89,1.02,0.91,0.06,1.89,,3.06,2.64,1.96 +SW_60,,1.60,5.77,5.59,2.99,0.42,3.06,,0.29,2.65 +SW_120,,1.33,4.78,4.63,2.57,0.21,2.64,0.29,,1.70 +sFC,,0.51,4.93,4.70,1.88,0.77,1.96,2.65,1.70, diff --git a/results/fmri/sim/d3d/N0200_T0200/HCP_noise_snr_6/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_ptests.csv b/results/fmri/sim/d3d/N0200_T0200/HCP_noise_snr_6/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_ptests.csv new file mode 100644 index 00000000..a7cab395 --- /dev/null +++ b/results/fmri/sim/d3d/N0200_T0200/HCP_noise_snr_6/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_ptests.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,-,nan,nan,nan,nan,nan,nan,nan,nan,nan +SVWP_joint,nan,-,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000 +DCC_joint,nan,19.3565,-,1.,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000 +DCC_bivariate_loop,nan,18.3611,-1.4716,-,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000 +SW_cross_validated,nan,8.3822,-10.9531,-9.8334,-,0.0000,1.,0.0000,0.0000,0.0000 +SW_15,nan,-9.1571,-31.0383,-30.0178,-18.3436,-,0.0000,0.0013,1.,0.0000 +SW_30,nan,8.9236,-10.2462,-9.1273,0.5917,18.8907,-,0.0000,0.0000,0.0000 +SW_60,nan,-15.9535,-57.6638,-55.8501,-29.8822,-4.1782,-30.6377,-,0.1297,0.0000 +SW_120,nan,-13.2611,-47.7979,-46.2579,-25.7299,-2.1069,-26.4305,2.9284,-,0.0000 +sFC,nan,-5.1246,-49.2516,-46.9941,-18.8027,7.6771,-19.6332,26.4579,16.9821,- diff --git a/results/fmri/sim/d3d/N0200_T0200/HCP_noise_snr_6/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_pvals.csv b/results/fmri/sim/d3d/N0200_T0200/HCP_noise_snr_6/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_pvals.csv new file mode 100644 index 00000000..7fc0fde8 --- /dev/null +++ b/results/fmri/sim/d3d/N0200_T0200/HCP_noise_snr_6/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_pvals.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,,,,,,,,,, +SVWP_joint,,,2.6497e-59,5.4977e-55,9.0639e-16,2.8396e-18,1.6702e-17,1.1961e-44,1.7015e-33,4.6603e-07 +DCC_joint,,2.6497e-59,,1.4191e-01,1.3987e-24,2.4621e-108,5.0724e-22,2.4683e-195,5.3604e-167,1.9850e-171 +DCC_bivariate_loop,,5.4977e-55,1.4191e-01,,1.4299e-20,2.7833e-104,3.5659e-18,2.0432e-190,3.3773e-162,1.6612e-164 +SW_cross_validated,,9.0639e-16,1.3987e-24,1.4299e-20,,6.5434e-55,5.5440e-01,9.7127e-104,1.1016e-86,6.7027e-57 +SW_15,,2.8396e-18,2.4621e-108,2.7833e-104,6.5434e-55,,2.7848e-57,3.6148e-05,3.5753e-02,1.2725e-13 +SW_30,,1.6702e-17,5.0724e-22,3.5659e-18,5.5440e-01,2.7848e-57,,9.4629e-107,1.2841e-89,1.6658e-60 +SW_60,,1.1961e-44,2.4683e-195,2.0432e-190,9.7127e-104,3.6148e-05,9.4629e-107,,3.6030e-03,9.8644e-90 +SW_120,,1.7015e-33,5.3604e-167,3.3773e-162,1.1016e-86,3.5753e-02,1.2841e-89,3.6030e-03,,4.8712e-49 +sFC,,4.6603e-07,1.9850e-171,1.6612e-164,6.7027e-57,1.2725e-13,1.6658e-60,9.8644e-90,4.8712e-49, diff --git a/results/fmri/sim/d3d/N0200_T0200/no_noise/LEOO/optimal_window_lengths.csv b/results/fmri/sim/d3d/N0200_T0200/no_noise/LEOO/optimal_window_lengths.csv new file mode 100644 index 00000000..3263c47d --- /dev/null +++ b/results/fmri/sim/d3d/N0200_T0200/no_noise/LEOO/optimal_window_lengths.csv @@ -0,0 +1,201 @@ 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+192,49,49,23,25,21,49,49 +193,43,49,27,29,21,37,45 +194,41,35,23,29,21,49,45 +195,47,49,33,23,21,43,41 +196,41,49,25,25,35,21,29 +197,41,49,31,27,21,21,43 +198,43,49,31,21,25,39,37 +199,37,49,23,21,23,47,49 diff --git a/results/fmri/sim/d3d/N0200_T0200/no_noise/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_T.csv b/results/fmri/sim/d3d/N0200_T0200/no_noise/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_T.csv new file mode 100644 index 00000000..68a41539 --- /dev/null +++ b/results/fmri/sim/d3d/N0200_T0200/no_noise/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_T.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,,,,,,,,,, +SVWP_joint,,,0.68,1.33,-8.89,-7.81,-9.40,20.99,19.38,19.88 +DCC_joint,,0.68,,1.43,-18.76,-17.73,-21.44,53.53,44.82,54.95 +DCC_bivariate_loop,,1.33,1.43,,-19.98,-19.05,-22.79,51.65,43.16,52.87 +SW_cross_validated,,-8.89,-18.76,-19.98,,2.32,-0.53,64.99,57.72,65.94 +SW_15,,-7.81,-17.73,-19.05,2.32,,-3.12,69.77,60.72,71.84 +SW_30,,-9.40,-21.44,-22.79,-0.53,-3.12,,76.10,66.01,79.00 +SW_60,,20.99,53.53,51.65,64.99,69.77,76.10,,-3.92,-6.75 +SW_120,,19.38,44.82,43.16,57.72,60.72,66.01,-3.92,,-0.37 +sFC,,19.88,54.95,52.87,65.94,71.84,79.00,-6.75,-0.37, diff --git a/results/fmri/sim/d3d/N0200_T0200/no_noise/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_cohen_d.csv b/results/fmri/sim/d3d/N0200_T0200/no_noise/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_cohen_d.csv new file mode 100644 index 00000000..139f44b1 --- /dev/null +++ b/results/fmri/sim/d3d/N0200_T0200/no_noise/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_cohen_d.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,,,,,,,,,, +SVWP_joint,,,0.07,0.13,0.89,0.78,0.94,2.10,1.94,1.99 +DCC_joint,,0.07,,0.14,1.88,1.77,2.14,5.35,4.48,5.50 +DCC_bivariate_loop,,0.13,0.14,,2.00,1.91,2.28,5.18,4.32,5.31 +SW_cross_validated,,0.89,1.88,2.00,,0.23,0.05,6.50,5.77,6.59 +SW_15,,0.78,1.77,1.91,0.23,,0.31,6.98,6.07,7.18 +SW_30,,0.94,2.14,2.28,0.05,0.31,,7.61,6.60,7.90 +SW_60,,2.10,5.35,5.18,6.50,6.98,7.61,,0.39,0.68 +SW_120,,1.94,4.48,4.32,5.77,6.07,6.60,0.39,,0.04 +sFC,,1.99,5.50,5.31,6.59,7.18,7.90,0.68,0.04, diff --git a/results/fmri/sim/d3d/N0200_T0200/no_noise/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_ptests.csv b/results/fmri/sim/d3d/N0200_T0200/no_noise/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_ptests.csv new file mode 100644 index 00000000..d02ba5d8 --- /dev/null +++ b/results/fmri/sim/d3d/N0200_T0200/no_noise/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_ptests.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,-,nan,nan,nan,nan,nan,nan,nan,nan,nan +SVWP_joint,nan,-,1.,1.,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000 +DCC_joint,nan,-0.6795,-,1.,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000 +DCC_bivariate_loop,nan,-1.3284,-1.4349,-,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000 +SW_cross_validated,nan,8.893,18.7635,19.9707,-,0.75,1.,0.0000,0.0000,0.0000 +SW_15,nan,7.8066,17.7291,19.0477,-2.3202,-,0.0709,0.0000,0.0000,0.0000 +SW_30,nan,9.4026,21.4402,22.7853,0.5254,3.1157,-,0.0000,0.0000,0.0000 +SW_60,nan,-20.9859,-53.5257,-51.7187,-64.9928,-69.7679,-76.0971,-,0.0038,0.0000 +SW_120,nan,-19.3828,-44.8199,-43.1898,-57.7199,-60.7246,-66.0079,3.9196,-,1. +sFC,nan,-19.8817,-54.9509,-52.9882,-65.9445,-71.8377,-78.9964,6.7543,0.3715,- diff --git a/results/fmri/sim/d3d/N0200_T0200/no_noise/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_pvals.csv b/results/fmri/sim/d3d/N0200_T0200/no_noise/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_pvals.csv new file mode 100644 index 00000000..fc2c3efb --- /dev/null +++ b/results/fmri/sim/d3d/N0200_T0200/no_noise/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_pvals.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,,,,,,,,,, +SVWP_joint,,,4.9719e-01,1.8442e-01,2.1034e-17,5.2491e-14,4.2715e-19,2.2359e-66,2.0377e-59,1.3884e-61 +DCC_joint,,4.9719e-01,,1.5210e-01,9.9170e-57,2.9658e-52,2.4047e-68,6.2605e-184,1.2885e-157,6.2327e-188 +DCC_bivariate_loop,,1.8442e-01,1.5210e-01,,6.3829e-61,9.7680e-58,5.7950e-74,1.0131e-152,9.3685e-148,7.5752e-129 +SW_cross_validated,,2.1034e-17,9.9170e-57,6.3829e-61,,2.0833e-02,5.9959e-01,4.9596e-214,1.7475e-195,2.4872e-216 +SW_15,,5.2491e-14,2.9658e-52,9.7680e-58,2.0833e-02,,1.9683e-03,2.6786e-225,2.3086e-203,5.5673e-230 +SW_30,,4.2715e-19,2.4047e-68,5.7950e-74,5.9959e-01,1.9683e-03,,2.9077e-239,1.7519e-216,2.5163e-245 +SW_60,,2.2359e-66,6.2605e-184,1.0131e-152,4.9596e-214,2.6786e-225,2.9077e-239,,1.0441e-04,5.1052e-11 +SW_120,,2.0377e-59,1.2885e-157,9.3685e-148,1.7475e-195,2.3086e-203,1.7519e-216,1.0441e-04,,7.1048e-01 +sFC,,1.3884e-61,6.2327e-188,7.5752e-129,2.4872e-216,5.5673e-230,2.5163e-245,5.1052e-11,7.1048e-01, diff --git a/results/fmri/sim/d3d/N0200_T0200/no_noise/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_T.csv b/results/fmri/sim/d3d/N0200_T0200/no_noise/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_T.csv new file mode 100644 index 00000000..a41fbc4f --- /dev/null +++ b/results/fmri/sim/d3d/N0200_T0200/no_noise/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_T.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,,,,,,,,,, +SVWP_joint,,,-15.23,-14.45,-5.84,9.99,-7.28,16.20,14.11,7.75 +DCC_joint,,-15.23,,1.27,11.34,33.03,9.87,58.38,50.17,50.24 +DCC_bivariate_loop,,-14.45,1.27,,10.34,32.06,8.83,56.88,48.82,48.46 +SW_cross_validated,,-5.84,11.34,10.34,,19.01,-1.64,30.85,27.08,20.75 +SW_15,,9.99,33.03,32.06,19.01,,-21.14,5.58,3.32,-6.17 +SW_30,,-7.28,9.87,8.83,-1.64,-21.14,,34.57,30.32,24.38 +SW_60,,16.20,58.38,56.88,30.85,5.58,34.57,,-3.14,-26.14 +SW_120,,14.11,50.17,48.82,27.08,3.32,30.32,-3.14,,-16.88 +sFC,,7.75,50.24,48.46,20.75,-6.17,24.38,-26.14,-16.88, diff --git a/results/fmri/sim/d3d/N0200_T0200/no_noise/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_cohen_d.csv b/results/fmri/sim/d3d/N0200_T0200/no_noise/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_cohen_d.csv new file mode 100644 index 00000000..979bd920 --- /dev/null +++ b/results/fmri/sim/d3d/N0200_T0200/no_noise/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_cohen_d.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,,,,,,,,,, +SVWP_joint,,,1.52,1.44,0.58,1.00,0.73,1.62,1.41,0.78 +DCC_joint,,1.52,,0.13,1.13,3.30,0.99,5.84,5.02,5.02 +DCC_bivariate_loop,,1.44,0.13,,1.03,3.21,0.88,5.70,4.89,4.86 +SW_cross_validated,,0.58,1.13,1.03,,1.90,0.16,3.09,2.71,2.07 +SW_15,,1.00,3.30,3.21,1.90,,2.11,0.56,0.33,0.62 +SW_30,,0.73,0.99,0.88,0.16,2.11,,3.46,3.03,2.44 +SW_60,,1.62,5.84,5.70,3.09,0.56,3.46,,0.31,2.61 +SW_120,,1.41,5.02,4.89,2.71,0.33,3.03,0.31,,1.69 +sFC,,0.78,5.02,4.86,2.07,0.62,2.44,2.61,1.69, diff --git a/results/fmri/sim/d3d/N0200_T0200/no_noise/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_ptests.csv b/results/fmri/sim/d3d/N0200_T0200/no_noise/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_ptests.csv new file mode 100644 index 00000000..45fbd691 --- /dev/null +++ b/results/fmri/sim/d3d/N0200_T0200/no_noise/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_ptests.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,-,nan,nan,nan,nan,nan,nan,nan,nan,nan +SVWP_joint,nan,-,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000 +DCC_joint,nan,15.2269,-,1.,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000 +DCC_bivariate_loop,nan,14.4318,-1.2654,-,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000 +SW_cross_validated,nan,5.8354,-11.3369,-10.328,-,0.0000,1.,0.0000,0.0000,0.0000 +SW_15,nan,-9.9934,-33.0307,-32.0287,-19.0082,-,0.0000,0.0000,0.0354,0.0000 +SW_30,nan,7.2834,-9.8675,-8.8193,1.6404,21.1434,-,0.0000,0.0000,0.0000 +SW_60,nan,-16.2026,-58.3818,-56.9286,-30.8536,-5.5826,-34.5702,-,0.0656,0.0000 +SW_120,nan,-14.1122,-50.1713,-48.8314,-27.0831,-3.3197,-30.3177,3.1387,-,0.0000 +sFC,nan,-7.7519,-50.2424,-48.5711,-20.7495,6.1663,-24.3804,26.1374,16.8838,- diff --git a/results/fmri/sim/d3d/N0200_T0200/no_noise/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_pvals.csv b/results/fmri/sim/d3d/N0200_T0200/no_noise/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_pvals.csv new file mode 100644 index 00000000..c3ced71b --- /dev/null +++ b/results/fmri/sim/d3d/N0200_T0200/no_noise/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_pvals.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,,,,,,,,,, +SVWP_joint,,,1.3942e-41,6.7466e-36,1.1136e-08,3.9582e-21,1.7582e-12,1.0455e-45,5.9386e-37,7.6406e-14 +DCC_joint,,1.3942e-41,,2.0646e-01,5.2370e-26,4.3433e-116,1.0882e-20,3.0148e-197,3.4851e-174,2.1429e-174 +DCC_bivariate_loop,,6.7466e-36,2.0646e-01,,5.1001e-22,2.3199e-104,4.8033e-17,1.9920e-180,6.4394e-169,1.9717e-120 +SW_cross_validated,,1.1136e-08,5.2370e-26,5.1001e-22,,8.6112e-58,1.0171e-01,1.3212e-107,2.4847e-92,2.3717e-65 +SW_15,,3.9582e-21,4.3433e-116,2.3199e-104,8.6112e-58,,4.6452e-67,4.3916e-08,9.8429e-04,1.7179e-09 +SW_30,,1.7582e-12,1.0882e-20,4.8033e-17,1.0171e-01,4.6452e-67,,6.2236e-122,1.7694e-105,5.5962e-81 +SW_60,,1.0455e-45,3.0148e-197,1.9920e-180,1.3212e-107,4.3916e-08,6.2236e-122,,1.8235e-03,2.1531e-88 +SW_120,,5.9386e-37,3.4851e-174,6.4394e-169,2.4847e-92,9.8429e-04,1.7694e-105,1.8235e-03,,1.2857e-48 +sFC,,7.6406e-14,2.1429e-174,1.9717e-120,2.3717e-65,1.7179e-09,5.5962e-81,2.1531e-88,1.2857e-48, diff --git a/results/fmri/sim/d3d/N0400_T0010/HCP_noise_snr_1/all/TVFC_estimates_summary_measures/trial_009/correlation/SW_cross_validated_TVFC_ar1_mean_over_trials.csv b/results/fmri/sim/d3d/N0400_T0010/HCP_noise_snr_1/all/TVFC_estimates_summary_measures/trial_009/correlation/SW_cross_validated_TVFC_ar1_mean_over_trials.csv new file mode 100644 index 00000000..26cd4297 --- /dev/null +++ b/results/fmri/sim/d3d/N0400_T0010/HCP_noise_snr_1/all/TVFC_estimates_summary_measures/trial_009/correlation/SW_cross_validated_TVFC_ar1_mean_over_trials.csv @@ -0,0 +1,4 @@ +,0,1,2 +0,0.000,0.992,0.994 +1,0.992,0.000,0.987 +2,0.994,0.987,0.000 diff --git a/results/fmri/sim/d3d/N0400_T0010/HCP_noise_snr_1/all/TVFC_estimates_summary_measures/trial_009/correlation/SW_cross_validated_TVFC_mean_mean_over_trials.csv b/results/fmri/sim/d3d/N0400_T0010/HCP_noise_snr_1/all/TVFC_estimates_summary_measures/trial_009/correlation/SW_cross_validated_TVFC_mean_mean_over_trials.csv new file mode 100644 index 00000000..b731a55b --- /dev/null +++ b/results/fmri/sim/d3d/N0400_T0010/HCP_noise_snr_1/all/TVFC_estimates_summary_measures/trial_009/correlation/SW_cross_validated_TVFC_mean_mean_over_trials.csv @@ -0,0 +1,4 @@ +,0,1,2 +0,1.000,0.317,0.278 +1,0.317,1.000,0.319 +2,0.278,0.319,1.000 diff --git a/results/fmri/sim/d3d/N0400_T0010/HCP_noise_snr_1/all/TVFC_estimates_summary_measures/trial_009/correlation/SW_cross_validated_TVFC_rate_of_change_mean_over_trials.csv b/results/fmri/sim/d3d/N0400_T0010/HCP_noise_snr_1/all/TVFC_estimates_summary_measures/trial_009/correlation/SW_cross_validated_TVFC_rate_of_change_mean_over_trials.csv new file mode 100644 index 00000000..ca5f1502 --- /dev/null +++ b/results/fmri/sim/d3d/N0400_T0010/HCP_noise_snr_1/all/TVFC_estimates_summary_measures/trial_009/correlation/SW_cross_validated_TVFC_rate_of_change_mean_over_trials.csv @@ -0,0 +1,4 @@ +,0,1,2 +0,0.000,0.150,0.244 +1,0.150,0.000,0.081 +2,0.244,0.081,0.000 diff --git a/results/fmri/sim/d3d/N0400_T0010/HCP_noise_snr_1/all/TVFC_estimates_summary_measures/trial_009/correlation/SW_cross_validated_TVFC_variance_mean_over_trials.csv b/results/fmri/sim/d3d/N0400_T0010/HCP_noise_snr_1/all/TVFC_estimates_summary_measures/trial_009/correlation/SW_cross_validated_TVFC_variance_mean_over_trials.csv new file mode 100644 index 00000000..91c29cac --- /dev/null +++ b/results/fmri/sim/d3d/N0400_T0010/HCP_noise_snr_1/all/TVFC_estimates_summary_measures/trial_009/correlation/SW_cross_validated_TVFC_variance_mean_over_trials.csv @@ -0,0 +1,4 @@ +,0,1,2 +0,0.000,0.031,0.043 +1,0.031,0.000,0.021 +2,0.043,0.021,0.000 diff --git a/results/fmri/sim/d3d/N0400_T0010/HCP_noise_snr_1/all/kernel_params/SVWP_joint_kernel_lengthscales_kernel_params.csv b/results/fmri/sim/d3d/N0400_T0010/HCP_noise_snr_1/all/kernel_params/SVWP_joint_kernel_lengthscales_kernel_params.csv new file mode 100644 index 00000000..d41212dd --- /dev/null +++ b/results/fmri/sim/d3d/N0400_T0010/HCP_noise_snr_1/all/kernel_params/SVWP_joint_kernel_lengthscales_kernel_params.csv @@ -0,0 +1,11 @@ +,null,constant,periodic_1,periodic_2,periodic_3,periodic_4,periodic_5,boxcar,stepwise,state_transition,change_point +0,1.605,0.578,0.452,0.200,0.360,0.392,0.223,1.084,0.373,0.428,0.580 +1,1.351,0.992,0.216,0.320,0.125,0.822,1.279,0.335,0.628,0.623,0.691 +2,0.278,0.462,0.331,0.114,1.140,0.733,0.249,1.132,0.277,0.985,0.547 +3,1.528,0.441,0.404,0.191,0.145,0.548,1.224,0.210,0.738,1.286,0.490 +4,0.558,0.780,0.465,0.356,0.125,0.133,0.797,1.251,0.798,0.471,0.496 +5,1.128,1.290,0.699,0.217,0.201,0.744,0.402,0.452,0.601,0.160,0.259 +6,0.544,1.245,0.472,0.139,0.391,0.994,0.901,0.285,0.199,0.740,1.181 +7,0.449,0.507,0.276,0.379,0.744,1.009,0.643,0.976,0.403,1.267,0.682 +8,0.342,0.726,0.242,0.212,1.513,1.286,1.319,0.488,0.314,1.244,0.309 +9,0.629,1.169,0.242,0.155,0.295,0.687,0.736,1.170,0.883,0.622,0.793 diff --git a/results/fmri/sim/d3d/N0400_T0010/HCP_noise_snr_1/all/kernel_params/SVWP_joint_kernel_variance_kernel_params.csv b/results/fmri/sim/d3d/N0400_T0010/HCP_noise_snr_1/all/kernel_params/SVWP_joint_kernel_variance_kernel_params.csv new file mode 100644 index 00000000..9943abcf --- /dev/null +++ b/results/fmri/sim/d3d/N0400_T0010/HCP_noise_snr_1/all/kernel_params/SVWP_joint_kernel_variance_kernel_params.csv @@ -0,0 +1,11 @@ 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b/results/fmri/sim/d3d/N0400_T0010/HCP_noise_snr_2/all/TVFC_estimates_summary_measures/trial_009/correlation/SW_cross_validated_TVFC_ar1_mean_over_trials.csv new file mode 100644 index 00000000..1b51aecd --- /dev/null +++ b/results/fmri/sim/d3d/N0400_T0010/HCP_noise_snr_2/all/TVFC_estimates_summary_measures/trial_009/correlation/SW_cross_validated_TVFC_ar1_mean_over_trials.csv @@ -0,0 +1,4 @@ +,0,1,2 +0,0.000,0.998,1.002 +1,0.998,0.000,1.000 +2,1.002,1.000,0.000 diff --git a/results/fmri/sim/d3d/N0400_T0010/HCP_noise_snr_2/all/TVFC_estimates_summary_measures/trial_009/correlation/SW_cross_validated_TVFC_mean_mean_over_trials.csv b/results/fmri/sim/d3d/N0400_T0010/HCP_noise_snr_2/all/TVFC_estimates_summary_measures/trial_009/correlation/SW_cross_validated_TVFC_mean_mean_over_trials.csv new file mode 100644 index 00000000..ca9a7c93 --- /dev/null +++ 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00000000..2839d6a5 --- /dev/null +++ b/results/fmri/sim/d3d/N0400_T0010/no_noise/all/TVFC_estimates_summary_measures/trial_009/correlation/SW_cross_validated_TVFC_variance_mean_over_trials.csv @@ -0,0 +1,4 @@ +,0,1,2 +0,0.000,0.091,0.090 +1,0.091,0.000,0.078 +2,0.090,0.078,0.000 diff --git a/results/fmri/sim/d3d/N0400_T0010/no_noise/all/kernel_params/SVWP_joint_kernel_lengthscales_kernel_params.csv b/results/fmri/sim/d3d/N0400_T0010/no_noise/all/kernel_params/SVWP_joint_kernel_lengthscales_kernel_params.csv new file mode 100644 index 00000000..de2188ad --- /dev/null +++ b/results/fmri/sim/d3d/N0400_T0010/no_noise/all/kernel_params/SVWP_joint_kernel_lengthscales_kernel_params.csv @@ -0,0 +1,11 @@ +,null,constant,periodic_1,periodic_2,periodic_3,periodic_4,periodic_5,boxcar,stepwise,state_transition,change_point +0,1.594,2.130,0.466,0.198,0.175,0.080,0.080,0.158,0.247,1.836,0.691 +1,1.827,2.928,0.422,0.220,0.140,0.085,0.077,0.139,0.279,1.932,0.702 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+DCC_joint,,-7.34,,3.19,15.24,23.30,5.73,14.70,10.32,2.72 +DCC_bivariate_loop,,-4.32,3.19,,11.85,19.83,2.90,11.23,7.16,-0.78 +SW_cross_validated,,6.75,15.24,11.85,,8.10,-7.67,-0.86,-4.20,-13.66 +SW_15,,14.34,23.30,19.83,8.10,,-14.96,-9.09,-11.98,-22.18 +SW_30,,-1.15,5.73,2.90,-7.67,-14.96,,7.03,3.63,-3.78 +SW_60,,6.06,14.70,11.23,-0.86,-9.09,7.03,,-3.45,-13.07 +SW_120,,2.56,10.32,7.16,-4.20,-11.98,3.63,-3.45,,-8.49 +sFC,,-5.38,2.72,-0.78,-13.66,-22.18,-3.78,-13.07,-8.49, diff --git a/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_1/all/ttests/correlation_RMSE/boxcar_between_method_performance_cohen_d.csv b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_1/all/ttests/correlation_RMSE/boxcar_between_method_performance_cohen_d.csv new file mode 100644 index 00000000..502fa0ae --- /dev/null +++ b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_1/all/ttests/correlation_RMSE/boxcar_between_method_performance_cohen_d.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,,,,,,,,,, +SVWP_joint,,,0.73,0.43,0.67,1.43,0.12,0.61,0.26,0.54 +DCC_joint,,0.73,,0.32,1.52,2.33,0.57,1.47,1.03,0.27 +DCC_bivariate_loop,,0.43,0.32,,1.18,1.98,0.29,1.12,0.72,0.08 +SW_cross_validated,,0.67,1.52,1.18,,0.81,0.77,0.09,0.42,1.37 +SW_15,,1.43,2.33,1.98,0.81,,1.50,0.91,1.20,2.22 +SW_30,,0.12,0.57,0.29,0.77,1.50,,0.70,0.36,0.38 +SW_60,,0.61,1.47,1.12,0.09,0.91,0.70,,0.35,1.31 +SW_120,,0.26,1.03,0.72,0.42,1.20,0.36,0.35,,0.85 +sFC,,0.54,0.27,0.08,1.37,2.22,0.38,1.31,0.85, diff --git a/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_1/all/ttests/correlation_RMSE/boxcar_between_method_performance_ptests.csv b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_1/all/ttests/correlation_RMSE/boxcar_between_method_performance_ptests.csv new file mode 100644 index 00000000..43451ba4 --- /dev/null +++ b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_1/all/ttests/correlation_RMSE/boxcar_between_method_performance_ptests.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,-,nan,nan,nan,nan,nan,nan,nan,nan,nan +SVWP_joint,nan,-,0.0000,0.0007,0.0000,0.0000,1.,0.0000,0.3938,0.0000 +DCC_joint,nan,7.3408,-,0.0553,0.0000,0.0000,0.0000,0.0000,0.0000,0.2417 +DCC_bivariate_loop,nan,4.3241,-3.1898,-,0.0000,0.0000,0.1429,0.0000,0.0000,1. +SW_cross_validated,nan,-6.7499,-15.2413,-11.8467,-,0.0000,0.0000,1.,0.0012,0.0000 +SW_15,nan,-14.343,-23.3001,-19.8314,-8.1005,-,0.0000,0.0000,0.0000,0.0000 +SW_30,nan,1.1541,-5.7337,-2.8974,7.6729,14.962,-,0.0000,0.0116,0.0065 +SW_60,nan,-6.0625,-14.7015,-11.2313,0.8558,9.0866,-7.0257,-,0.0223,0.0000 +SW_120,nan,-2.5567,-10.32,-7.1642,4.1996,11.9832,-3.6276,3.4509,-,0.0000 +sFC,nan,5.3845,-2.725,0.7842,13.6604,22.1776,3.782,13.0669,8.495,- diff --git a/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_1/all/ttests/correlation_RMSE/boxcar_between_method_performance_pvals.csv b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_1/all/ttests/correlation_RMSE/boxcar_between_method_performance_pvals.csv new file mode 100644 index 00000000..cba7979c --- /dev/null +++ b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_1/all/ttests/correlation_RMSE/boxcar_between_method_performance_pvals.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,,,,,,,,,, +SVWP_joint,,,1.2062e-12,1.9383e-05,5.2463e-11,6.6623e-38,2.4917e-01,3.1142e-09,1.0938e-02,1.2442e-07 +DCC_joint,,1.2062e-12,,1.5365e-03,1.2128e-41,2.3044e-76,1.9454e-08,2.1827e-39,2.7703e-22,6.7142e-03 +DCC_bivariate_loop,,1.9383e-05,1.5365e-03,,6.1176e-28,2.2957e-61,3.9701e-03,1.3005e-25,3.8185e-12,4.3336e-01 +SW_cross_validated,,5.2463e-11,1.2128e-41,6.1176e-28,,6.7717e-15,1.3094e-13,3.9263e-01,3.3018e-05,4.1525e-35 +SW_15,,6.6623e-38,2.3044e-76,2.2957e-61,6.7717e-15,,1.7926e-40,4.8618e-18,1.8289e-28,1.5590e-71 +SW_30,,2.4917e-01,1.9454e-08,3.9701e-03,1.3094e-13,1.7926e-40,,9.2878e-12,3.2331e-04,1.7944e-04 +SW_60,,3.1142e-09,2.1827e-39,1.3005e-25,3.9263e-01,4.8618e-18,9.2878e-12,,6.1847e-04,1.0208e-32 +SW_120,,1.0938e-02,2.7703e-22,3.8185e-12,3.3018e-05,1.8289e-28,3.2331e-04,6.1847e-04,,3.9984e-16 +sFC,,1.2442e-07,6.7142e-03,4.3336e-01,4.1525e-35,1.5590e-71,1.7944e-04,1.0208e-32,3.9984e-16, diff --git a/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_1/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_T.csv b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_1/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_T.csv new file mode 100644 index 00000000..f377fd4e --- /dev/null +++ b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_1/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_T.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,,,,,,,,,, +SVWP_joint,,,-8.36,-8.09,13.41,36.23,14.06,11.63,7.51,-4.33 +DCC_joint,,-8.36,,0.23,27.45,64.09,30.33,27.58,19.23,4.87 +DCC_bivariate_loop,,-8.09,0.23,,26.78,62.24,29.47,26.74,18.74,4.56 +SW_cross_validated,,13.41,27.45,26.78,,24.88,-0.19,-3.28,-6.33,-21.22 +SW_15,,36.23,64.09,62.24,24.88,,-27.77,-32.30,-31.30,-52.26 +SW_30,,14.06,30.33,29.47,-0.19,-27.77,,-3.40,-6.63,-23.00 +SW_60,,11.63,27.58,26.74,-3.28,-32.30,-3.40,,-3.77,-20.24 +SW_120,,7.51,19.23,18.74,-6.33,-31.30,-6.63,-3.77,,-13.86 +sFC,,-4.33,4.87,4.56,-21.22,-52.26,-23.00,-20.24,-13.86, diff --git a/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_1/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_cohen_d.csv b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_1/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_cohen_d.csv new file mode 100644 index 00000000..f69e865b --- /dev/null +++ b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_1/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_cohen_d.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,,,,,,,,,, +SVWP_joint,,,0.84,0.81,1.34,3.62,1.41,1.16,0.75,0.43 +DCC_joint,,0.84,,0.02,2.75,6.41,3.03,2.76,1.92,0.49 +DCC_bivariate_loop,,0.81,0.02,,2.68,6.22,2.95,2.67,1.87,0.46 +SW_cross_validated,,1.34,2.75,2.68,,2.49,0.02,0.33,0.63,2.12 +SW_15,,3.62,6.41,6.22,2.49,,2.78,3.23,3.13,5.23 +SW_30,,1.41,3.03,2.95,0.02,2.78,,0.34,0.66,2.30 +SW_60,,1.16,2.76,2.67,0.33,3.23,0.34,,0.38,2.02 +SW_120,,0.75,1.92,1.87,0.63,3.13,0.66,0.38,,1.39 +sFC,,0.43,0.49,0.46,2.12,5.23,2.30,2.02,1.39, diff --git a/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_1/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_ptests.csv b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_1/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_ptests.csv new file mode 100644 index 00000000..b9a0e5f0 --- /dev/null +++ b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_1/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_ptests.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,-,nan,nan,nan,nan,nan,nan,nan,nan,nan +SVWP_joint,nan,-,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0007 +DCC_joint,nan,8.3567,-,1.,0.0000,0.0000,0.0000,0.0000,0.0000,0.0001 +DCC_bivariate_loop,nan,8.0905,-0.2291,-,0.0000,0.0000,0.0000,0.0000,0.0000,0.0002 +SW_cross_validated,nan,-13.4123,-27.4507,-26.784,-,0.0000,1.,0.0405,0.0000,0.0000 +SW_15,nan,-36.2265,-64.0904,-62.236,-24.8821,-,0.0000,0.0000,0.0000,0.0000 +SW_30,nan,-14.063,-30.3301,-29.4696,0.1875,27.7727,-,0.0272,0.0000,0.0000 +SW_60,nan,-11.6259,-27.585,-26.738,3.281,32.3031,3.3954,-,0.0068,0.0000 +SW_120,nan,-7.5138,-19.2331,-18.7374,6.3332,31.2991,6.626,3.768,-,0.0000 +sFC,nan,4.3264,-4.8681,-4.5604,21.2234,52.2626,23.0006,20.2447,13.8556,- diff --git a/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_1/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_pvals.csv b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_1/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_pvals.csv new file mode 100644 index 00000000..d0565cb4 --- /dev/null +++ b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_1/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_pvals.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,,,,,,,,,, +SVWP_joint,,,1.0895e-15,7.2656e-15,4.1921e-34,4.4804e-128,9.4479e-37,4.2504e-27,3.8261e-13,1.9187e-05 +DCC_joint,,1.0895e-15,,8.1895e-01,7.5082e-94,7.9793e-212,1.5793e-105,2.0984e-94,9.1018e-59,1.6280e-06 +DCC_bivariate_loop,,7.2656e-15,8.1895e-01,,4.3269e-91,3.2936e-207,4.4084e-102,6.7204e-91,1.2874e-56,6.8069e-06 +SW_cross_validated,,4.1921e-34,7.5082e-94,4.3269e-91,,4.1535e-83,8.5134e-01,1.1257e-03,6.4935e-10,2.0900e-67 +SW_15,,4.4804e-128,7.9793e-212,3.2936e-207,4.1535e-83,,3.5432e-95,2.7838e-113,2.3149e-109,2.5809e-180 +SW_30,,9.4479e-37,1.5793e-105,4.4084e-102,8.5134e-01,3.5432e-95,,7.5431e-04,1.1226e-10,4.4452e-75 +SW_60,,4.2504e-27,2.0984e-94,6.7204e-91,1.1257e-03,2.7838e-113,7.5431e-04,,1.8945e-04,3.6812e-63 +SW_120,,3.8261e-13,9.1018e-59,1.2874e-56,6.4935e-10,2.3149e-109,1.1226e-10,1.8945e-04,,6.6638e-36 +sFC,,1.9187e-05,1.6280e-06,6.8069e-06,2.0900e-67,2.5809e-180,4.4452e-75,3.6812e-63,6.6638e-36, diff --git a/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_1/all/ttests/covariance_RMSE/boxcar_between_method_performance_T.csv b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_1/all/ttests/covariance_RMSE/boxcar_between_method_performance_T.csv new file mode 100644 index 00000000..839d41be --- /dev/null +++ b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_1/all/ttests/covariance_RMSE/boxcar_between_method_performance_T.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,,,,,,,,,, +SVWP_joint,,,-13.85,-14.41,0.83,-15.32,-14.51,-2.98,-3.14,-5.98 +DCC_joint,,-13.85,,-1.54,18.78,-4.46,-4.14,16.77,12.97,12.24 +DCC_bivariate_loop,,-14.41,-1.54,,19.35,-3.16,-3.12,17.42,13.64,13.03 +SW_cross_validated,,0.83,18.78,19.35,,-19.72,-18.03,-4.68,-4.64,-8.37 +SW_15,,-15.32,-4.46,-3.16,-19.72,,-0.50,17.68,14.55,13.84 +SW_30,,-14.51,-4.14,-3.12,-18.03,-0.50,,15.66,13.39,12.28 +SW_60,,-2.98,16.77,17.42,-4.68,17.68,15.66,,-0.51,-4.24 +SW_120,,-3.14,12.97,13.64,-4.64,14.55,13.39,-0.51,,-3.10 +sFC,,-5.98,12.24,13.03,-8.37,13.84,12.28,-4.24,-3.10, diff --git a/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_1/all/ttests/covariance_RMSE/boxcar_between_method_performance_cohen_d.csv b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_1/all/ttests/covariance_RMSE/boxcar_between_method_performance_cohen_d.csv new file mode 100644 index 00000000..9e9e4117 --- /dev/null +++ b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_1/all/ttests/covariance_RMSE/boxcar_between_method_performance_cohen_d.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,,,,,,,,,, +SVWP_joint,,,1.39,1.44,0.08,1.53,1.45,0.30,0.31,0.60 +DCC_joint,,1.39,,0.15,1.88,0.45,0.41,1.68,1.30,1.22 +DCC_bivariate_loop,,1.44,0.15,,1.93,0.32,0.31,1.74,1.36,1.30 +SW_cross_validated,,0.08,1.88,1.93,,1.97,1.80,0.47,0.46,0.84 +SW_15,,1.53,0.45,0.32,1.97,,0.05,1.77,1.46,1.38 +SW_30,,1.45,0.41,0.31,1.80,0.05,,1.57,1.34,1.23 +SW_60,,0.30,1.68,1.74,0.47,1.77,1.57,,0.05,0.42 +SW_120,,0.31,1.30,1.36,0.46,1.46,1.34,0.05,,0.31 +sFC,,0.60,1.22,1.30,0.84,1.38,1.23,0.42,0.31, diff --git a/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_1/all/ttests/covariance_RMSE/boxcar_between_method_performance_ptests.csv b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_1/all/ttests/covariance_RMSE/boxcar_between_method_performance_ptests.csv new file mode 100644 index 00000000..1e51cabd --- /dev/null +++ b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_1/all/ttests/covariance_RMSE/boxcar_between_method_performance_ptests.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,-,nan,nan,nan,nan,nan,nan,nan,nan,nan +SVWP_joint,nan,-,0.0000,0.0000,1.,0.0000,0.0000,0.1086,0.0649,0.0000 +DCC_joint,nan,13.8547,-,1.,0.0000,0.0004,0.0015,0.0000,0.0000,0.0000 +DCC_bivariate_loop,nan,14.4145,1.5447,-,0.0000,0.0617,0.0710,0.0000,0.0000,0.0000 +SW_cross_validated,nan,-0.8259,-18.7825,-19.349,-,0.0000,0.0000,0.0001,0.0002,0.0000 +SW_15,nan,15.3191,4.4578,3.1572,19.7246,-,1.,0.0000,0.0000,0.0000 +SW_30,nan,14.5104,4.1404,3.115,18.0341,0.5022,-,0.0000,0.0000,0.0000 +SW_60,nan,2.9845,-16.7683,-17.4245,4.6846,-17.6758,-15.6568,-,1.,0.001 +SW_120,nan,3.142,-12.9691,-13.6432,4.6361,-14.5513,-13.3938,0.5132,-,0.0746 +sFC,nan,5.9838,-12.236,-13.0337,8.3724,-13.8376,-12.2754,4.2446,3.1002,- diff --git a/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_1/all/ttests/covariance_RMSE/boxcar_between_method_performance_pvals.csv b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_1/all/ttests/covariance_RMSE/boxcar_between_method_performance_pvals.csv new file mode 100644 index 00000000..735e58f2 --- /dev/null +++ b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_1/all/ttests/covariance_RMSE/boxcar_between_method_performance_pvals.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,,,,,,,,,, +SVWP_joint,,,6.7214e-36,3.3758e-38,4.0936e-01,5.7163e-42,1.3548e-38,3.0153e-03,1.8033e-03,4.8643e-09 +DCC_joint,,6.7214e-36,,1.2321e-01,8.2003e-57,1.0785e-05,4.2353e-05,4.0192e-48,2.5054e-32,1.9238e-29 +DCC_bivariate_loop,,3.3758e-38,1.2321e-01,,2.8569e-59,1.7145e-03,1.9724e-03,6.1004e-51,4.8745e-35,1.3850e-32 +SW_cross_validated,,4.0936e-01,8.2003e-57,2.8569e-59,,6.6785e-61,1.4284e-53,3.8558e-06,4.8223e-06,9.7301e-16 +SW_15,,5.7163e-42,1.0785e-05,1.7145e-03,6.6785e-61,,6.1582e-01,5.0377e-52,9.1704e-39,7.8908e-36 +SW_30,,1.3548e-38,4.2353e-05,1.9724e-03,1.4284e-53,6.1582e-01,,2.1573e-43,4.9778e-34,1.3512e-29 +SW_60,,3.0153e-03,4.0192e-48,6.1004e-51,3.8558e-06,5.0377e-52,2.1573e-43,,6.0810e-01,2.7272e-05 +SW_120,,1.8033e-03,2.5054e-32,4.8745e-35,4.8223e-06,9.1704e-39,4.9778e-34,6.0810e-01,,2.0714e-03 +sFC,,4.8643e-09,1.9238e-29,1.3850e-32,9.7301e-16,7.8908e-36,1.3512e-29,2.7272e-05,2.0714e-03, diff --git a/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_1/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_T.csv b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_1/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_T.csv new file mode 100644 index 00000000..a54f5346 --- /dev/null +++ b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_1/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_T.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,,,,,,,,,, +SVWP_joint,,,-4.24,-4.72,7.49,30.46,16.28,8.27,3.94,-16.93 +DCC_joint,,-4.24,,-1.11,20.18,88.76,49.92,29.12,16.54,-27.10 +DCC_bivariate_loop,,-4.72,-1.11,,20.84,88.49,50.35,29.84,17.34,-25.79 +SW_cross_validated,,7.49,20.18,20.84,,37.46,13.35,0.14,-6.20,-39.33 +SW_15,,30.46,88.76,88.49,37.46,,-39.26,-57.60,-56.47,-108.58 +SW_30,,16.28,49.92,50.35,13.35,-39.26,,-19.68,-25.27,-73.40 +SW_60,,8.27,29.12,29.84,0.14,-57.60,-19.68,,-8.47,-53.85 +SW_120,,3.94,16.54,17.34,-6.20,-56.47,-25.27,-8.47,,-39.46 +sFC,,-16.93,-27.10,-25.79,-39.33,-108.58,-73.40,-53.85,-39.46, diff --git a/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_1/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_cohen_d.csv b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_1/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_cohen_d.csv new file mode 100644 index 00000000..b5fa3f23 --- /dev/null +++ b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_1/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_cohen_d.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,,,,,,,,,, +SVWP_joint,,,0.42,0.47,0.75,3.05,1.63,0.83,0.39,1.69 +DCC_joint,,0.42,,0.11,2.02,8.88,4.99,2.91,1.65,2.71 +DCC_bivariate_loop,,0.47,0.11,,2.08,8.85,5.03,2.98,1.73,2.58 +SW_cross_validated,,0.75,2.02,2.08,,3.75,1.33,0.01,0.62,3.93 +SW_15,,3.05,8.88,8.85,3.75,,3.93,5.76,5.65,10.86 +SW_30,,1.63,4.99,5.03,1.33,3.93,,1.97,2.53,7.34 +SW_60,,0.83,2.91,2.98,0.01,5.76,1.97,,0.85,5.38 +SW_120,,0.39,1.65,1.73,0.62,5.65,2.53,0.85,,3.95 +sFC,,1.69,2.71,2.58,3.93,10.86,7.34,5.38,3.95, diff --git a/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_1/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_ptests.csv b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_1/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_ptests.csv new file mode 100644 index 00000000..224430d3 --- /dev/null +++ b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_1/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_ptests.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,-,nan,nan,nan,nan,nan,nan,nan,nan,nan +SVWP_joint,nan,-,0.0010,0.0001,0.0000,0.0000,0.0000,0.0000,0.0035,0.0000 +DCC_joint,nan,4.2357,-,1.,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000 +DCC_bivariate_loop,nan,4.7156,1.1124,-,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000 +SW_cross_validated,nan,-7.4886,-20.1793,-20.837,-,0.0000,0.0000,1.,0.0000,0.0000 +SW_15,nan,-30.465,-88.764,-88.4898,-37.4597,-,0.0000,0.0000,0.0000,0.0000 +SW_30,nan,-16.2846,-49.925,-50.347,-13.3491,39.2617,-,0.0000,0.0000,0.0000 +SW_60,nan,-8.2694,-29.1175,-29.8449,-0.1364,57.601,19.6833,-,0.0000,0.0000 +SW_120,nan,-3.9378,-16.5395,-17.3421,6.1982,56.4711,25.274,8.4659,-,0.0000 +sFC,nan,16.9306,27.099,25.7868,39.3298,108.5844,73.3967,53.8468,39.456,- diff --git a/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_1/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_pvals.csv b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_1/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_pvals.csv new file mode 100644 index 00000000..f90d6fea --- /dev/null +++ b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_1/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_pvals.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,,,,,,,,,, +SVWP_joint,,,2.8328e-05,3.3389e-06,4.5296e-13,4.5910e-106,4.6811e-46,2.0395e-15,9.7060e-05,8.0956e-49 +DCC_joint,,2.8328e-05,,2.6664e-01,7.0813e-63,2.1473e-264,1.8912e-173,1.1618e-100,3.8261e-47,2.1342e-92 +DCC_bivariate_loop,,3.3389e-06,2.6664e-01,,9.8939e-66,6.9328e-264,1.0478e-174,1.3706e-103,1.3813e-50,6.3534e-87 +SW_cross_validated,,4.5296e-13,7.0813e-63,9.8939e-66,,1.4938e-132,7.5345e-34,8.9155e-01,1.4285e-09,3.4707e-139 +SW_15,,4.5910e-106,2.1473e-264,6.9328e-264,1.4938e-132,,6.0069e-139,3.6366e-195,4.0993e-192,7.6025e-298 +SW_30,,4.6811e-46,1.8912e-173,1.0478e-174,7.5345e-34,6.0069e-139,,1.0099e-60,9.1552e-85,1.9695e-233 +SW_60,,2.0395e-15,1.1618e-100,1.3706e-103,8.9155e-01,3.6366e-195,1.0099e-60,,4.9416e-16,7.7258e-185 +SW_120,,9.7060e-05,3.8261e-47,1.3813e-50,1.4285e-09,4.0993e-192,9.1552e-85,4.9416e-16,,1.2573e-139 +sFC,,8.0956e-49,2.1342e-92,6.3534e-87,3.4707e-139,7.6025e-298,1.9695e-233,7.7258e-185,1.2573e-139, diff --git a/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_2/LEOO/optimal_window_lengths.csv b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_2/LEOO/optimal_window_lengths.csv new file mode 100644 index 00000000..e94c55e7 --- /dev/null +++ b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_2/LEOO/optimal_window_lengths.csv @@ -0,0 +1,201 @@ +,null,constant,periodic_1,periodic_2,periodic_3,stepwise,state_transition +0,47,25,47,47,29,25,47 +1,39,37,37,45,27,41,47 +2,49,49,33,35,21,39,49 +3,43,49,29,21,21,45,45 +4,49,35,37,37,25,45,49 +5,47,39,39,27,21,31,49 +6,49,43,37,27,21,49,43 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a/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_2/all/ttests/correlation_RMSE/boxcar_between_method_performance_T.csv b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_2/all/ttests/correlation_RMSE/boxcar_between_method_performance_T.csv new file mode 100644 index 00000000..a879b80b --- /dev/null +++ b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_2/all/ttests/correlation_RMSE/boxcar_between_method_performance_T.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,,,,,,,,,, +SVWP_joint,,,-12.50,-16.01,-2.79,-15.43,-25.90,7.42,4.49,1.23 +DCC_joint,,-12.50,,-3.65,4.47,-4.86,-14.99,20.32,16.23,16.36 +DCC_bivariate_loop,,-16.01,-3.65,,6.66,-1.70,-11.65,23.83,19.53,20.41 +SW_cross_validated,,-2.79,4.47,6.66,,-7.41,-14.10,6.85,5.36,3.55 +SW_15,,-15.43,-4.86,-1.70,-7.41,,-8.88,21.86,18.58,18.45 +SW_30,,-25.90,-14.99,-11.65,-14.10,-8.88,,32.81,28.70,30.43 +SW_60,,7.42,20.32,23.83,6.85,21.86,32.81,,-2.26,-8.17 +SW_120,,4.49,16.23,19.53,5.36,18.58,28.70,-2.26,,-4.28 +sFC,,1.23,16.36,20.41,3.55,18.45,30.43,-8.17,-4.28, diff --git a/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_2/all/ttests/correlation_RMSE/boxcar_between_method_performance_cohen_d.csv b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_2/all/ttests/correlation_RMSE/boxcar_between_method_performance_cohen_d.csv new file mode 100644 index 00000000..398e4a3a --- /dev/null +++ b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_2/all/ttests/correlation_RMSE/boxcar_between_method_performance_cohen_d.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,,,,,,,,,, +SVWP_joint,,,1.25,1.60,0.28,1.54,2.59,0.74,0.45,0.12 +DCC_joint,,1.25,,0.37,0.45,0.49,1.50,2.03,1.62,1.64 +DCC_bivariate_loop,,1.60,0.37,,0.67,0.17,1.17,2.38,1.95,2.04 +SW_cross_validated,,0.28,0.45,0.67,,0.74,1.41,0.69,0.54,0.36 +SW_15,,1.54,0.49,0.17,0.74,,0.89,2.19,1.86,1.84 +SW_30,,2.59,1.50,1.17,1.41,0.89,,3.28,2.87,3.04 +SW_60,,0.74,2.03,2.38,0.69,2.19,3.28,,0.23,0.82 +SW_120,,0.45,1.62,1.95,0.54,1.86,2.87,0.23,,0.43 +sFC,,0.12,1.64,2.04,0.36,1.84,3.04,0.82,0.43, diff --git a/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_2/all/ttests/correlation_RMSE/boxcar_between_method_performance_ptests.csv b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_2/all/ttests/correlation_RMSE/boxcar_between_method_performance_ptests.csv new file mode 100644 index 00000000..23bf2012 --- /dev/null +++ b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_2/all/ttests/correlation_RMSE/boxcar_between_method_performance_ptests.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,-,nan,nan,nan,nan,nan,nan,nan,nan,nan +SVWP_joint,nan,-,0.0000,0.0000,0.1994,0.0000,0.0000,0.0000,0.0003,1. +DCC_joint,nan,12.4957,-,0.0107,0.0004,0.0001,0.0000,0.0000,0.0000,0.0000 +DCC_bivariate_loop,nan,16.0094,3.6504,-,0.0000,1.,0.0000,0.0000,0.0000,0.0000 +SW_cross_validated,nan,2.7892,-4.4734,-6.6561,-,0.0000,0.0000,0.0000,0.0000,0.0153 +SW_15,nan,15.4267,4.8646,1.6973,7.4079,-,0.0000,0.0000,0.0000,0.0000 +SW_30,nan,25.8987,14.9908,11.6543,14.0958,8.8757,-,0.0000,0.0000,0.0000 +SW_60,nan,-7.42,-20.3195,-23.8266,-6.8544,-21.8642,-32.8112,-,0.8852,0.0000 +SW_120,nan,-4.4893,-16.2342,-19.5261,-5.3641,-18.5755,-28.7028,2.2564,-,0.0008 +sFC,nan,-1.2327,-16.362,-20.4093,-3.5531,-18.4458,-30.4309,8.1743,4.2823,- diff --git a/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_2/all/ttests/correlation_RMSE/boxcar_between_method_performance_pvals.csv b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_2/all/ttests/correlation_RMSE/boxcar_between_method_performance_pvals.csv new file mode 100644 index 00000000..b8e756c6 --- /dev/null +++ b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_2/all/ttests/correlation_RMSE/boxcar_between_method_performance_pvals.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,,,,,,,,,, +SVWP_joint,,,1.8620e-30,6.9245e-45,5.5381e-03,2.0152e-42,2.1540e-87,7.1521e-13,9.3722e-06,2.1840e-01 +DCC_joint,,1.8620e-30,,2.9677e-04,1.0060e-05,1.6551e-06,1.3580e-40,1.7432e-63,7.6735e-46,2.1902e-46 +DCC_bivariate_loop,,6.9245e-45,2.9677e-04,,9.3417e-11,9.0421e-02,3.3139e-27,1.2852e-78,4.8600e-60,7.1053e-64 +SW_cross_validated,,5.5381e-03,1.0060e-05,9.3417e-11,,7.7480e-13,6.9348e-37,2.7389e-11,1.3832e-07,4.2632e-04 +SW_15,,2.0152e-42,1.6551e-06,9.0421e-02,7.7480e-13,,2.3937e-17,3.5184e-70,6.4753e-56,2.3608e-55 +SW_30,,2.1540e-87,1.3580e-40,3.3139e-27,6.9348e-37,2.3937e-17,,3.0310e-115,5.5858e-99,6.2721e-106 +SW_60,,7.1521e-13,1.7432e-63,1.2852e-78,2.7389e-11,3.5184e-70,3.0310e-115,,2.4589e-02,4.0173e-15 +SW_120,,9.3722e-06,7.6735e-46,4.8600e-60,1.3832e-07,6.4753e-56,5.5858e-99,2.4589e-02,,2.3216e-05 +sFC,,2.1840e-01,2.1902e-46,7.1053e-64,4.2632e-04,2.3608e-55,6.2721e-106,4.0173e-15,2.3216e-05, diff --git a/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_2/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_T.csv b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_2/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_T.csv new file mode 100644 index 00000000..b0224469 --- /dev/null +++ b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_2/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_T.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,,,,,,,,,, +SVWP_joint,,,-1.48,-8.30,15.31,45.17,12.49,22.20,12.42,2.56 +DCC_joint,,-1.48,,-7.63,17.59,49.77,14.57,25.72,14.05,4.65 +DCC_bivariate_loop,,-8.30,-7.63,,21.84,50.48,19.14,29.09,18.24,11.69 +SW_cross_validated,,15.31,17.59,21.84,,25.87,-2.50,3.97,-0.61,-14.72 +SW_15,,45.17,49.77,50.48,25.87,,-28.42,-24.81,-23.26,-47.76 +SW_30,,12.49,14.57,19.14,-2.50,-28.42,,6.74,1.60,-11.62 +SW_60,,22.20,25.72,29.09,3.97,-24.81,6.74,,-4.06,-22.73 +SW_120,,12.42,14.05,18.24,-0.61,-23.26,1.60,-4.06,,-11.53 +sFC,,2.56,4.65,11.69,-14.72,-47.76,-11.62,-22.73,-11.53, diff --git a/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_2/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_cohen_d.csv b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_2/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_cohen_d.csv new file mode 100644 index 00000000..b6c07380 --- /dev/null +++ b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_2/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_cohen_d.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,,,,,,,,,, +SVWP_joint,,,0.15,0.83,1.53,4.52,1.25,2.22,1.24,0.26 +DCC_joint,,0.15,,0.76,1.76,4.98,1.46,2.57,1.41,0.46 +DCC_bivariate_loop,,0.83,0.76,,2.18,5.05,1.91,2.91,1.82,1.17 +SW_cross_validated,,1.53,1.76,2.18,,2.59,0.25,0.40,0.06,1.47 +SW_15,,4.52,4.98,5.05,2.59,,2.84,2.48,2.33,4.78 +SW_30,,1.25,1.46,1.91,0.25,2.84,,0.67,0.16,1.16 +SW_60,,2.22,2.57,2.91,0.40,2.48,0.67,,0.41,2.27 +SW_120,,1.24,1.41,1.82,0.06,2.33,0.16,0.41,,1.15 +sFC,,0.26,0.46,1.17,1.47,4.78,1.16,2.27,1.15, diff --git a/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_2/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_ptests.csv b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_2/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_ptests.csv new file mode 100644 index 00000000..72178789 --- /dev/null +++ b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_2/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_ptests.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,-,nan,nan,nan,nan,nan,nan,nan,nan,nan +SVWP_joint,nan,-,1.,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.3939 +DCC_joint,nan,1.481,-,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0002 +DCC_bivariate_loop,nan,8.3014,7.6336,-,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000 +SW_cross_validated,nan,-15.3117,-17.5932,-21.8383,-,0.0000,0.4612,0.0031,1.,0.0000 +SW_15,nan,-45.1683,-49.7668,-50.4789,-25.8693,-,0.0000,0.0000,0.0000,0.0000 +SW_30,nan,-12.4873,-14.5738,-19.1357,2.5003,28.4243,-,0.0000,1.,0.0000 +SW_60,nan,-22.1951,-25.717,-29.0915,-3.9674,24.8099,-6.7429,-,0.0021,0.0000 +SW_120,nan,-12.4182,-14.0547,-18.235,0.6058,23.259,-1.595,4.0592,-,0.0000 +sFC,nan,-2.5566,-4.6499,-11.6937,14.72,47.7601,11.6181,22.7253,11.5309,- diff --git a/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_2/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_pvals.csv b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_2/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_pvals.csv new file mode 100644 index 00000000..c1e039db --- /dev/null +++ b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_2/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_pvals.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,,,,,,,,,, +SVWP_joint,,,1.3941e-01,1.6216e-15,6.1411e-42,9.7948e-159,2.0088e-30,1.3090e-71,3.7456e-30,1.0942e-02 +DCC_joint,,1.3941e-01,,1.7086e-13,1.1438e-51,5.6213e-173,7.3933e-39,1.2480e-86,1.0217e-36,4.5253e-06 +DCC_bivariate_loop,,1.6216e-15,1.7086e-13,,4.5532e-70,4.2568e-175,2.4081e-58,1.4814e-100,1.9307e-54,2.3469e-27 +SW_cross_validated,,6.1411e-42,1.1438e-51,4.5532e-70,,2.8601e-87,1.2810e-02,8.6172e-05,5.4499e-01,1.8286e-39 +SW_15,,9.7948e-159,5.6213e-173,4.2568e-175,2.8601e-87,,7.6007e-98,8.4012e-83,3.4561e-76,7.0100e-167 +SW_30,,2.0088e-30,7.3933e-39,2.4081e-58,1.2810e-02,7.6007e-98,,5.4787e-11,1.1150e-01,4.5520e-27 +SW_60,,1.3090e-71,1.2480e-86,1.4814e-100,8.6172e-05,8.4012e-83,5.4787e-11,,5.9292e-05,6.7904e-74 +SW_120,,3.7456e-30,1.0217e-36,1.9307e-54,5.4499e-01,3.4561e-76,1.1150e-01,5.9292e-05,,9.7347e-27 +sFC,,1.0942e-02,4.5253e-06,2.3469e-27,1.8286e-39,7.0100e-167,4.5520e-27,6.7904e-74,9.7347e-27, diff --git a/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_2/all/ttests/covariance_RMSE/boxcar_between_method_performance_T.csv b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_2/all/ttests/covariance_RMSE/boxcar_between_method_performance_T.csv new file mode 100644 index 00000000..39a9ff78 --- /dev/null +++ b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_2/all/ttests/covariance_RMSE/boxcar_between_method_performance_T.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,,,,,,,,,, +SVWP_joint,,,-14.50,-19.05,-5.29,-19.43,-28.25,1.59,-0.02,-0.03 +DCC_joint,,-14.50,,-4.89,4.01,-8.36,-15.75,16.78,12.09,17.47 +DCC_bivariate_loop,,-19.05,-4.89,,7.22,-4.43,-11.22,21.44,16.04,22.64 +SW_cross_validated,,-5.29,4.01,7.22,,-9.79,-14.98,6.36,4.85,5.65 +SW_15,,-19.43,-8.36,-4.43,-9.79,,-5.25,21.11,17.38,21.41 +SW_30,,-28.25,-15.75,-11.22,-14.98,-5.25,,30.51,24.70,31.99 +SW_60,,1.59,16.78,21.44,6.36,21.11,30.51,,-1.32,-2.03 +SW_120,,-0.02,12.09,16.04,4.85,17.38,24.70,-1.32,,0.01 +sFC,,-0.03,17.47,22.64,5.65,21.41,31.99,-2.03,0.01, diff --git a/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_2/all/ttests/covariance_RMSE/boxcar_between_method_performance_cohen_d.csv b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_2/all/ttests/covariance_RMSE/boxcar_between_method_performance_cohen_d.csv new file mode 100644 index 00000000..da9f468d --- /dev/null +++ b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_2/all/ttests/covariance_RMSE/boxcar_between_method_performance_cohen_d.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,,,,,,,,,, +SVWP_joint,,,1.45,1.91,0.53,1.94,2.83,0.16,0.00,0.00 +DCC_joint,,1.45,,0.49,0.40,0.84,1.57,1.68,1.21,1.75 +DCC_bivariate_loop,,1.91,0.49,,0.72,0.44,1.12,2.14,1.60,2.26 +SW_cross_validated,,0.53,0.40,0.72,,0.98,1.50,0.64,0.48,0.57 +SW_15,,1.94,0.84,0.44,0.98,,0.53,2.11,1.74,2.14 +SW_30,,2.83,1.57,1.12,1.50,0.53,,3.05,2.47,3.20 +SW_60,,0.16,1.68,2.14,0.64,2.11,3.05,,0.13,0.20 +SW_120,,0.00,1.21,1.60,0.48,1.74,2.47,0.13,,0.00 +sFC,,0.00,1.75,2.26,0.57,2.14,3.20,0.20,0.00, diff --git a/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_2/all/ttests/covariance_RMSE/boxcar_between_method_performance_ptests.csv b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_2/all/ttests/covariance_RMSE/boxcar_between_method_performance_ptests.csv new file mode 100644 index 00000000..ff6d25b3 --- /dev/null +++ b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_2/all/ttests/covariance_RMSE/boxcar_between_method_performance_ptests.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,-,nan,nan,nan,nan,nan,nan,nan,nan,nan +SVWP_joint,nan,-,0.0000,0.0000,0.0000,0.0000,0.0000,1.,1.,1. +DCC_joint,nan,14.5015,-,0.0001,0.0026,0.0000,0.0000,0.0000,0.0000,0.0000 +DCC_bivariate_loop,nan,19.0529,4.8883,-,0.0000,0.0004,0.0000,0.0000,0.0000,0.0000 +SW_cross_validated,nan,5.2852,-4.0147,-7.2207,-,0.0000,0.0000,0.0000,0.0001,0.0000 +SW_15,nan,19.4301,8.3611,4.4315,9.7888,-,0.0000,0.0000,0.0000,0.0000 +SW_30,nan,28.2511,15.7452,11.2179,14.9795,5.2501,-,0.0000,0.0000,0.0000 +SW_60,nan,-1.5933,-16.777,-21.4382,-6.3562,-21.1076,-30.514,-,1.,1. +SW_120,nan,0.0239,-12.0858,-16.0425,-4.8479,-17.383,-24.696,1.3203,-,1. +sFC,nan,0.0259,-17.4722,-22.6383,-5.6525,-21.4123,-31.9887,2.0347,-0.0073,- diff --git a/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_2/all/ttests/covariance_RMSE/boxcar_between_method_performance_pvals.csv b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_2/all/ttests/covariance_RMSE/boxcar_between_method_performance_pvals.csv new file mode 100644 index 00000000..5d9d3630 --- /dev/null +++ b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_2/all/ttests/covariance_RMSE/boxcar_between_method_performance_pvals.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,,,,,,,,,, +SVWP_joint,,,1.4738e-38,5.5084e-58,2.0738e-07,1.2700e-59,3.8761e-97,1.1189e-01,9.8095e-01,9.7935e-01 +DCC_joint,,1.4738e-38,,1.4776e-06,7.1136e-05,1.0554e-15,9.1212e-44,3.6879e-48,7.3520e-29,3.8028e-51 +DCC_bivariate_loop,,5.5084e-58,1.4776e-06,,2.6474e-12,1.2116e-05,1.4590e-25,2.4519e-68,5.0141e-45,1.6088e-73 +SW_cross_validated,,2.0738e-07,7.1136e-05,2.6474e-12,,2.0418e-20,1.5151e-40,5.6707e-10,1.7921e-06,3.0196e-08 +SW_15,,1.2700e-59,1.0554e-15,1.2116e-05,2.0418e-20,,2.4799e-07,6.6405e-67,9.2082e-51,3.1770e-68 +SW_30,,3.8761e-97,9.1212e-44,1.4590e-25,1.5151e-40,2.4799e-07,,2.9314e-106,2.5541e-82,4.6363e-112 +SW_60,,1.1189e-01,3.6879e-48,2.4519e-68,5.6707e-10,6.6405e-67,2.9314e-106,,1.8749e-01,4.2542e-02 +SW_120,,9.8095e-01,7.3520e-29,5.0141e-45,1.7921e-06,9.2082e-51,2.5541e-82,1.8749e-01,,9.9420e-01 +sFC,,9.7935e-01,3.8028e-51,1.6088e-73,3.0196e-08,3.1770e-68,4.6363e-112,4.2542e-02,9.9420e-01, diff --git a/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_2/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_T.csv b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_2/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_T.csv new file mode 100644 index 00000000..5c5fb26c --- /dev/null +++ b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_2/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_T.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,,,,,,,,,, +SVWP_joint,,,-9.68,-14.31,22.62,58.13,28.07,24.76,17.09,-10.16 +DCC_joint,,-9.68,,-7.95,42.19,98.44,55.17,52.14,27.65,-0.69 +DCC_bivariate_loop,,-14.31,-7.95,,44.26,93.36,55.17,52.20,30.65,7.50 +SW_cross_validated,,22.62,42.19,44.26,,38.31,3.96,-0.49,-0.47,-43.12 +SW_15,,58.13,98.44,93.36,38.31,,-39.17,-45.92,-27.67,-100.40 +SW_30,,28.07,55.17,55.17,3.96,-39.17,,-5.28,-3.28,-56.57 +SW_60,,24.76,52.14,52.20,-0.49,-45.92,-5.28,,-0.16,-53.62 +SW_120,,17.09,27.65,30.65,-0.47,-27.67,-3.28,-0.16,,-28.10 +sFC,,-10.16,-0.69,7.50,-43.12,-100.40,-56.57,-53.62,-28.10, diff --git a/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_2/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_cohen_d.csv b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_2/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_cohen_d.csv new file mode 100644 index 00000000..6896c9a0 --- /dev/null +++ b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_2/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_cohen_d.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,,,,,,,,,, +SVWP_joint,,,0.97,1.43,2.26,5.81,2.81,2.48,1.71,1.02 +DCC_joint,,0.97,,0.79,4.22,9.84,5.52,5.21,2.76,0.07 +DCC_bivariate_loop,,1.43,0.79,,4.43,9.34,5.52,5.22,3.07,0.75 +SW_cross_validated,,2.26,4.22,4.43,,3.83,0.40,0.05,0.05,4.31 +SW_15,,5.81,9.84,9.34,3.83,,3.92,4.59,2.77,10.04 +SW_30,,2.81,5.52,5.52,0.40,3.92,,0.53,0.33,5.66 +SW_60,,2.48,5.21,5.22,0.05,4.59,0.53,,0.02,5.36 +SW_120,,1.71,2.76,3.07,0.05,2.77,0.33,0.02,,2.81 +sFC,,1.02,0.07,0.75,4.31,10.04,5.66,5.36,2.81, diff --git a/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_2/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_ptests.csv b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_2/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_ptests.csv new file mode 100644 index 00000000..1371dfc7 --- /dev/null +++ b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_2/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_ptests.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,-,nan,nan,nan,nan,nan,nan,nan,nan,nan +SVWP_joint,nan,-,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000 +DCC_joint,nan,9.677,-,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,1. +DCC_bivariate_loop,nan,14.3074,7.9498,-,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000 +SW_cross_validated,nan,-22.6195,-42.1871,-44.2611,-,0.0000,0.0032,1.,1.,0.0000 +SW_15,nan,-58.131,-98.4353,-93.3631,-38.3105,-,0.0000,0.0000,0.0000,0.0000 +SW_30,nan,-28.0744,-55.1683,-55.1664,-3.9586,39.168,-,0.0000,0.0405,0.0000 +SW_60,nan,-24.7599,-52.1407,-52.2021,0.4904,45.9235,5.2827,-,1.,0.0000 +SW_120,nan,-17.0875,-27.6495,-30.6523,0.4667,27.6697,3.281,0.1608,-,0.0000 +sFC,nan,10.1621,0.6912,-7.5005,43.1166,100.404,56.5713,53.6247,28.0974,- diff --git a/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_2/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_pvals.csv b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_2/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_pvals.csv new file mode 100644 index 00000000..ceb21396 --- /dev/null +++ b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_2/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_pvals.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,,,,,,,,,, +SVWP_joint,,,4.9593e-20,9.3404e-38,1.9376e-73,1.3976e-196,2.0482e-96,1.3690e-82,1.7179e-49,1.0080e-21 +DCC_joint,,4.9593e-20,,1.9483e-14,5.7328e-149,1.7146e-281,1.5533e-188,5.8090e-180,1.1376e-94,4.8986e-01 +DCC_bivariate_loop,,9.3404e-38,1.9483e-14,,8.2645e-156,9.9938e-273,1.5715e-188,3.8589e-180,8.2804e-107,4.1837e-13 +SW_cross_validated,,1.9376e-73,5.7328e-149,8.2645e-156,,1.3578e-135,8.9305e-05,6.2410e-01,6.4096e-01,4.6353e-152 +SW_15,,1.3976e-196,1.7146e-281,9.9938e-273,1.3578e-135,,1.2794e-138,3.8478e-161,9.3943e-95,8.7807e-285 +SW_30,,2.0482e-96,1.5533e-188,1.5715e-188,8.9305e-05,1.2794e-138,,2.1008e-07,1.1255e-03,2.1889e-192 +SW_60,,1.3690e-82,5.8090e-180,3.8589e-180,6.2410e-01,3.8478e-161,2.1008e-07,,8.7232e-01,3.2810e-184 +SW_120,,1.7179e-49,1.1376e-94,8.2804e-107,6.4096e-01,9.3943e-95,1.1255e-03,8.7232e-01,,1.6478e-96 +sFC,,1.0080e-21,4.8986e-01,4.1837e-13,4.6353e-152,8.7807e-285,2.1889e-192,3.2810e-184,1.6478e-96, diff --git a/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_6/LEOO/optimal_window_lengths.csv b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_6/LEOO/optimal_window_lengths.csv new file mode 100644 index 00000000..18f90a58 --- /dev/null +++ b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_6/LEOO/optimal_window_lengths.csv @@ -0,0 +1,201 @@ +,null,constant,periodic_1,periodic_2,periodic_3,stepwise,state_transition +0,45,45,35,21,23,49,49 +1,35,41,23,21,21,21,49 +2,49,49,31,33,23,41,47 +3,45,49,21,21,23,37,49 +4,29,35,29,21,27,21,37 +5,33,47,21,21,21,47,37 +6,49,47,23,37,29,45,33 +7,31,49,39,25,23,41,39 +8,35,45,29,23,21,29,49 +9,49,41,41,21,27,27,41 +10,41,25,39,23,21,23,23 +11,49,49,21,21,29,25,39 +12,45,27,27,21,21,49,43 +13,33,27,21,21,25,23,37 +14,31,21,29,25,23,33,29 +15,31,49,39,23,23,23,43 +16,41,25,23,23,21,35,47 +17,49,25,25,21,25,49,25 +18,37,49,45,31,21,25,37 +19,49,23,27,21,21,49,35 +20,47,47,25,23,21,35,37 +21,47,37,21,33,21,31,21 +22,49,25,29,25,21,37,45 +23,49,35,23,25,21,33,49 +24,45,31,39,27,21,23,45 +25,49,27,21,27,27,49,39 +26,23,49,29,21,29,39,41 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+,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,,,,,,,,,, +SVWP_joint,,,-7.34,-11.76,-8.90,-19.46,-22.18,9.39,7.79,7.74 +DCC_joint,,-7.34,,-6.17,-4.42,-16.56,-20.21,26.38,22.96,26.92 +DCC_bivariate_loop,,-11.76,-6.17,,-1.03,-11.61,-15.07,34.11,30.20,36.07 +SW_cross_validated,,-8.90,-4.42,-1.03,,-6.28,-8.14,17.70,16.41,16.66 +SW_15,,-19.46,-16.56,-11.61,-6.28,,-2.46,39.03,36.11,39.82 +SW_30,,-22.18,-20.21,-15.07,-8.14,-2.46,,44.59,41.22,46.26 +SW_60,,9.39,26.38,34.11,17.70,39.03,44.59,,-2.51,-5.26 +SW_120,,7.79,22.96,30.20,16.41,36.11,41.22,-2.51,,-1.49 +sFC,,7.74,26.92,36.07,16.66,39.82,46.26,-5.26,-1.49, diff --git a/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_6/all/ttests/correlation_RMSE/boxcar_between_method_performance_cohen_d.csv b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_6/all/ttests/correlation_RMSE/boxcar_between_method_performance_cohen_d.csv new file mode 100644 index 00000000..93a35101 --- /dev/null +++ b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_6/all/ttests/correlation_RMSE/boxcar_between_method_performance_cohen_d.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,,,,,,,,,, +SVWP_joint,,,0.73,1.18,0.89,1.95,2.22,0.94,0.78,0.77 +DCC_joint,,0.73,,0.62,0.44,1.66,2.02,2.64,2.30,2.69 +DCC_bivariate_loop,,1.18,0.62,,0.10,1.16,1.51,3.41,3.02,3.61 +SW_cross_validated,,0.89,0.44,0.10,,0.63,0.81,1.77,1.64,1.67 +SW_15,,1.95,1.66,1.16,0.63,,0.25,3.90,3.61,3.98 +SW_30,,2.22,2.02,1.51,0.81,0.25,,4.46,4.12,4.63 +SW_60,,0.94,2.64,3.41,1.77,3.90,4.46,,0.25,0.53 +SW_120,,0.78,2.30,3.02,1.64,3.61,4.12,0.25,,0.15 +sFC,,0.77,2.69,3.61,1.67,3.98,4.63,0.53,0.15, diff --git a/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_6/all/ttests/correlation_RMSE/boxcar_between_method_performance_ptests.csv b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_6/all/ttests/correlation_RMSE/boxcar_between_method_performance_ptests.csv new file mode 100644 index 00000000..7f106203 --- /dev/null +++ b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_6/all/ttests/correlation_RMSE/boxcar_between_method_performance_ptests.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,-,nan,nan,nan,nan,nan,nan,nan,nan,nan +SVWP_joint,nan,-,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000 +DCC_joint,nan,7.3418,-,0.0000,0.0005,0.0000,0.0000,0.0000,0.0000,0.0000 +DCC_bivariate_loop,nan,11.7641,6.1681,-,1.,0.0000,0.0000,0.0000,0.0000,0.0000 +SW_cross_validated,nan,8.9003,4.4156,1.0299,-,0.0000,0.0000,0.0000,0.0000,0.0000 +SW_15,nan,19.4575,16.5551,11.6118,6.2788,-,0.5109,0.0000,0.0000,0.0000 +SW_30,nan,22.1804,20.2097,15.0665,8.1386,2.4632,-,0.0000,0.0000,0.0000 +SW_60,nan,-9.3922,-26.3759,-34.1132,-17.7038,-39.029,-44.5873,-,0.4500,0.0000 +SW_120,nan,-7.7903,-22.9572,-30.1996,-16.4069,-36.1074,-41.218,2.5091,-,1. +sFC,nan,-7.7435,-26.9229,-36.0675,-16.66,-39.8246,-46.2649,5.2588,1.4883,- diff --git a/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_6/all/ttests/correlation_RMSE/boxcar_between_method_performance_pvals.csv b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_6/all/ttests/correlation_RMSE/boxcar_between_method_performance_pvals.csv new file mode 100644 index 00000000..1bea380f --- /dev/null +++ b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_6/all/ttests/correlation_RMSE/boxcar_between_method_performance_pvals.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,,,,,,,,,, +SVWP_joint,,,1.1983e-12,1.2659e-27,1.9904e-17,9.6539e-60,1.5161e-71,4.6329e-19,5.8726e-14,8.0902e-14 +DCC_joint,,1.1983e-12,,1.6999e-09,1.2996e-05,3.2820e-47,5.2241e-63,2.1688e-89,6.8286e-75,1.1465e-91 +DCC_bivariate_loop,,1.2659e-27,1.6999e-09,,3.0370e-01,4.8061e-27,6.5553e-41,3.2776e-120,5.2314e-105,1.7156e-127 +SW_cross_validated,,1.9904e-17,1.2996e-05,3.0370e-01,,8.9352e-10,5.1746e-15,3.8134e-52,1.4083e-46,1.1677e-47 +SW_15,,9.6539e-60,3.2820e-47,4.8061e-27,8.9352e-10,,1.4191e-02,3.9333e-138,1.2249e-127,6.5471e-141 +SW_30,,1.5161e-71,5.2241e-63,6.5553e-41,5.1746e-15,1.4191e-02,,7.2503e-157,1.0693e-145,3.2094e-162 +SW_60,,4.6329e-19,2.1688e-89,3.2776e-120,3.8134e-52,3.9333e-138,7.2503e-157,,1.2501e-02,2.3730e-07 +SW_120,,5.8726e-14,6.8286e-75,5.2314e-105,1.4083e-46,1.2249e-127,1.0693e-145,1.2501e-02,,1.3747e-01 +sFC,,8.0902e-14,1.1465e-91,1.7156e-127,1.1677e-47,6.5471e-141,3.2094e-162,2.3730e-07,1.3747e-01, diff --git a/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_6/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_T.csv b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_6/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_T.csv new file mode 100644 index 00000000..8323f3f3 --- /dev/null +++ b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_6/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_T.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,,,,,,,,,, +SVWP_joint,,,2.86,-6.97,6.28,28.33,5.69,19.63,14.47,8.96 +DCC_joint,,2.86,,-13.59,5.14,33.90,4.38,24.76,16.06,10.62 +DCC_bivariate_loop,,-6.97,-13.59,,14.23,40.19,13.90,32.73,24.53,22.60 +SW_cross_validated,,6.28,5.14,14.23,,21.97,-0.78,12.38,7.88,0.62 +SW_15,,28.33,33.90,40.19,21.97,,-23.48,-13.09,-15.18,-29.37 +SW_30,,5.69,4.38,13.90,-0.78,-23.48,,13.83,8.98,1.73 +SW_60,,19.63,24.76,32.73,12.38,-13.09,13.83,,-3.97,-18.68 +SW_120,,14.47,16.06,24.53,7.88,-15.18,8.98,-3.97,,-10.34 +sFC,,8.96,10.62,22.60,0.62,-29.37,1.73,-18.68,-10.34, diff --git a/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_6/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_cohen_d.csv b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_6/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_cohen_d.csv new file mode 100644 index 00000000..ed00eb9f --- /dev/null +++ b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_6/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_cohen_d.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,,,,,,,,,, +SVWP_joint,,,0.29,0.70,0.63,2.83,0.57,1.96,1.45,0.90 +DCC_joint,,0.29,,1.36,0.51,3.39,0.44,2.48,1.61,1.06 +DCC_bivariate_loop,,0.70,1.36,,1.42,4.02,1.39,3.27,2.45,2.26 +SW_cross_validated,,0.63,0.51,1.42,,2.20,0.08,1.24,0.79,0.06 +SW_15,,2.83,3.39,4.02,2.20,,2.35,1.31,1.52,2.94 +SW_30,,0.57,0.44,1.39,0.08,2.35,,1.38,0.90,0.17 +SW_60,,1.96,2.48,3.27,1.24,1.31,1.38,,0.40,1.87 +SW_120,,1.45,1.61,2.45,0.79,1.52,0.90,0.40,,1.03 +sFC,,0.90,1.06,2.26,0.06,2.94,0.17,1.87,1.03, diff --git a/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_6/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_ptests.csv b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_6/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_ptests.csv new file mode 100644 index 00000000..dd8a7b04 --- /dev/null +++ b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_6/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_ptests.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,-,nan,nan,nan,nan,nan,nan,nan,nan,nan +SVWP_joint,nan,-,0.16,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000 +DCC_joint,nan,-2.8612,-,0.0000,0.0000,0.0000,0.0005,0.0000,0.0000,0.0000 +DCC_bivariate_loop,nan,6.9747,13.5934,-,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000 +SW_cross_validated,nan,-6.2784,-5.1412,-14.2341,-,0.0000,1.,0.0000,0.0000,1. +SW_15,nan,-28.3271,-33.895,-40.1883,-21.9667,-,0.0000,0.0000,0.0000,0.0000 +SW_30,nan,-5.6865,-4.3836,-13.9,0.7836,23.4822,-,0.0000,0.0000,1. +SW_60,nan,-19.6317,-24.7586,-32.7324,-12.3782,13.0883,-13.8255,-,0.0031,0.0000 +SW_120,nan,-14.4742,-16.0618,-24.5276,-7.8762,15.1795,-8.976,3.9709,-,0.0000 +sFC,nan,-8.9588,-10.6156,-22.5999,-0.6212,29.3674,-1.7266,18.681,10.3372,- diff --git a/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_6/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_pvals.csv b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_6/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_pvals.csv new file mode 100644 index 00000000..40effda9 --- /dev/null +++ b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_6/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_pvals.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,,,,,,,,,, +SVWP_joint,,,4.4435e-03,1.2841e-11,8.9581e-10,1.8962e-97,2.5138e-08,1.6921e-60,1.9120e-38,1.2810e-17 +DCC_joint,,4.4435e-03,,7.7650e-35,4.2896e-07,2.1936e-119,1.4956e-05,1.3865e-82,4.1513e-45,2.3959e-23 +DCC_bivariate_loop,,1.2841e-11,7.7650e-35,,1.8718e-37,3.6048e-142,4.3920e-36,6.0976e-115,1.3246e-81,2.3548e-73 +SW_cross_validated,,8.9581e-10,4.2896e-07,1.8718e-37,,1.2687e-70,4.3375e-01,5.3725e-30,3.2466e-14,5.3482e-01 +SW_15,,1.8962e-97,2.1936e-119,3.6048e-142,1.2687e-70,,3.8207e-77,8.3826e-33,2.2045e-41,1.1380e-101 +SW_30,,2.5138e-08,1.4956e-05,4.3920e-36,4.3375e-01,3.8207e-77,,8.8418e-36,1.1254e-17,8.5017e-02 +SW_60,,1.6921e-60,1.3865e-82,6.0976e-115,5.3725e-30,8.3826e-33,8.8418e-36,,8.4968e-05,2.2603e-56 +SW_120,,1.9120e-38,4.1513e-45,1.3246e-81,3.2466e-14,2.2045e-41,1.1254e-17,8.4968e-05,,2.4049e-22 +sFC,,1.2810e-17,2.3959e-23,2.3548e-73,5.3482e-01,1.1380e-101,8.5017e-02,2.2603e-56,2.4049e-22, diff --git a/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_6/all/ttests/covariance_RMSE/boxcar_between_method_performance_T.csv b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_6/all/ttests/covariance_RMSE/boxcar_between_method_performance_T.csv new file mode 100644 index 00000000..41dd5890 --- /dev/null +++ b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_6/all/ttests/covariance_RMSE/boxcar_between_method_performance_T.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,,,,,,,,,, +SVWP_joint,,,-8.61,-13.36,-9.90,-12.54,-19.73,6.72,3.93,6.90 +DCC_joint,,-8.61,,-6.35,-4.15,-6.45,-15.05,23.00,18.17,26.72 +DCC_bivariate_loop,,-13.36,-6.35,,-0.28,-1.78,-10.10,30.81,25.45,36.28 +SW_cross_validated,,-9.90,-4.15,-0.28,,-1.03,-6.73,17.39,14.94,17.99 +SW_15,,-12.54,-6.45,-1.78,-1.03,,-6.58,23.10,19.85,24.60 +SW_30,,-19.73,-15.05,-10.10,-6.73,-6.58,,34.06,30.14,37.01 +SW_60,,6.72,23.00,30.81,17.39,23.10,34.06,,-4.34,-0.72 +SW_120,,3.93,18.17,25.45,14.94,19.85,30.14,-4.34,,4.80 +sFC,,6.90,26.72,36.28,17.99,24.60,37.01,-0.72,4.80, diff --git a/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_6/all/ttests/covariance_RMSE/boxcar_between_method_performance_cohen_d.csv b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_6/all/ttests/covariance_RMSE/boxcar_between_method_performance_cohen_d.csv new file mode 100644 index 00000000..2b8d1c75 --- /dev/null +++ b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_6/all/ttests/covariance_RMSE/boxcar_between_method_performance_cohen_d.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,,,,,,,,,, +SVWP_joint,,,0.86,1.34,0.99,1.25,1.97,0.67,0.39,0.69 +DCC_joint,,0.86,,0.64,0.42,0.65,1.51,2.30,1.82,2.67 +DCC_bivariate_loop,,1.34,0.64,,0.03,0.18,1.01,3.08,2.55,3.63 +SW_cross_validated,,0.99,0.42,0.03,,0.10,0.67,1.74,1.49,1.80 +SW_15,,1.25,0.65,0.18,0.10,,0.66,2.31,1.99,2.46 +SW_30,,1.97,1.51,1.01,0.67,0.66,,3.41,3.01,3.70 +SW_60,,0.67,2.30,3.08,1.74,2.31,3.41,,0.43,0.07 +SW_120,,0.39,1.82,2.55,1.49,1.99,3.01,0.43,,0.48 +sFC,,0.69,2.67,3.63,1.80,2.46,3.70,0.07,0.48, diff --git a/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_6/all/ttests/covariance_RMSE/boxcar_between_method_performance_ptests.csv b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_6/all/ttests/covariance_RMSE/boxcar_between_method_performance_ptests.csv new file mode 100644 index 00000000..11922e5f --- /dev/null +++ b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_6/all/ttests/covariance_RMSE/boxcar_between_method_performance_ptests.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,-,nan,nan,nan,nan,nan,nan,nan,nan,nan +SVWP_joint,nan,-,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0035,0.0000 +DCC_joint,nan,8.6097,-,0.0000,0.0015,0.0000,0.0000,0.0000,0.0000,0.0000 +DCC_bivariate_loop,nan,13.3618,6.3521,-,1.,1.,0.0000,0.0000,0.0000,0.0000 +SW_cross_validated,nan,9.8951,4.1508,0.2792,-,1.,0.0000,0.0000,0.0000,0.0000 +SW_15,nan,12.5423,6.4505,1.7787,1.0347,-,0.0000,0.0000,0.0000,0.0000 +SW_30,nan,19.7261,15.0512,10.0966,6.725,6.5844,-,0.0000,0.0000,0.0000 +SW_60,nan,-6.7217,-23.0015,-30.8114,-17.3936,-23.0984,-34.0622,-,0.0006,1. +SW_120,nan,-3.9347,-18.1676,-25.4524,-14.9413,-19.8522,-30.1358,4.3436,-,0.0001 +sFC,nan,-6.9023,-26.7229,-36.2837,-17.9883,-24.5954,-37.0051,0.7243,-4.8021,- diff --git a/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_6/all/ttests/covariance_RMSE/boxcar_between_method_performance_pvals.csv b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_6/all/ttests/covariance_RMSE/boxcar_between_method_performance_pvals.csv new file mode 100644 index 00000000..e2800075 --- /dev/null +++ b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_6/all/ttests/covariance_RMSE/boxcar_between_method_performance_pvals.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,,,,,,,,,, +SVWP_joint,,,1.7260e-16,6.7003e-34,8.7246e-21,1.2222e-30,6.5816e-61,6.2452e-11,9.8277e-05,2.0289e-11 +DCC_joint,,1.7260e-16,,5.8107e-10,4.0544e-05,3.2382e-10,7.5958e-41,4.4068e-75,3.7787e-54,7.7662e-91 +DCC_bivariate_loop,,6.7003e-34,5.8107e-10,,7.8022e-01,7.6051e-02,1.7162e-21,1.9413e-107,1.6194e-85,2.7649e-128 +SW_cross_validated,,8.7246e-21,4.0544e-05,7.8022e-01,,3.0144e-01,6.1184e-11,8.2861e-51,2.1875e-40,2.2540e-53 +SW_15,,1.2222e-30,3.2382e-10,7.6051e-02,3.0144e-01,,1.4464e-10,1.6897e-75,1.8642e-61,6.8322e-82 +SW_30,,6.5816e-61,7.5958e-41,1.7162e-21,6.1184e-11,1.4464e-10,,5.1071e-120,9.4022e-105,6.5306e-131 +SW_60,,6.2452e-11,4.4068e-75,1.9413e-107,8.2861e-51,1.6897e-75,5.1071e-120,,1.7809e-05,4.6931e-01 +SW_120,,9.8277e-05,3.7787e-54,1.6194e-85,2.1875e-40,1.8642e-61,9.4022e-105,1.7809e-05,,2.2265e-06 +sFC,,2.0289e-11,7.7662e-91,2.7649e-128,2.2540e-53,6.8322e-82,6.5306e-131,4.6931e-01,2.2265e-06, diff --git a/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_6/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_T.csv b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_6/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_T.csv new file mode 100644 index 00000000..3b5bfd15 --- /dev/null +++ b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_6/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_T.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,,,,,,,,,, +SVWP_joint,,,-9.96,-19.57,19.98,58.89,23.21,28.59,21.86,-5.87 +DCC_joint,,-9.96,,-12.62,30.28,73.10,34.12,44.82,32.97,6.68 +DCC_bivariate_loop,,-19.57,-12.62,,36.72,75.45,40.24,49.54,39.25,19.09 +SW_cross_validated,,19.98,30.28,36.72,,34.81,2.55,2.98,0.97,-28.25 +SW_15,,58.89,73.10,75.45,34.81,,-32.74,-38.16,-34.89,-73.91 +SW_30,,23.21,34.12,40.24,2.55,-32.74,,-0.00,-1.64,-32.37 +SW_60,,28.59,44.82,49.54,2.98,-38.16,-0.00,,-1.94,-44.99 +SW_120,,21.86,32.97,39.25,0.97,-34.89,-1.64,-1.94,,-31.15 +sFC,,-5.87,6.68,19.09,-28.25,-73.91,-32.37,-44.99,-31.15, diff --git a/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_6/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_cohen_d.csv b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_6/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_cohen_d.csv new file mode 100644 index 00000000..3f09dcda --- /dev/null +++ b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_6/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_cohen_d.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,,,,,,,,,, +SVWP_joint,,,1.00,1.96,2.00,5.89,2.32,2.86,2.19,0.59 +DCC_joint,,1.00,,1.26,3.03,7.31,3.41,4.48,3.30,0.67 +DCC_bivariate_loop,,1.96,1.26,,3.67,7.54,4.02,4.95,3.93,1.91 +SW_cross_validated,,2.00,3.03,3.67,,3.48,0.26,0.30,0.10,2.82 +SW_15,,5.89,7.31,7.54,3.48,,3.27,3.82,3.49,7.39 +SW_30,,2.32,3.41,4.02,0.26,3.27,,0.00,0.16,3.24 +SW_60,,2.86,4.48,4.95,0.30,3.82,0.00,,0.19,4.50 +SW_120,,2.19,3.30,3.93,0.10,3.49,0.16,0.19,,3.11 +sFC,,0.59,0.67,1.91,2.82,7.39,3.24,4.50,3.11, diff --git a/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_6/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_ptests.csv b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_6/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_ptests.csv new file mode 100644 index 00000000..ba6fd3ea --- /dev/null +++ b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_6/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_ptests.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,-,nan,nan,nan,nan,nan,nan,nan,nan,nan +SVWP_joint,nan,-,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000 +DCC_joint,nan,9.9646,-,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000 +DCC_bivariate_loop,nan,19.566,12.6163,-,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000 +SW_cross_validated,nan,-19.9762,-30.2767,-36.7219,-,0.0000,0.3978,0.1097,1.,0.0000 +SW_15,nan,-58.8926,-73.0983,-75.445,-34.8098,-,0.0000,0.0000,0.0000,0.0000 +SW_30,nan,-23.2054,-34.1231,-40.2362,-2.553,32.7421,-,1.,1.,0.0000 +SW_60,nan,-28.5856,-44.8223,-49.536,-2.9812,38.1552,0.0017,-,1.,0.0000 +SW_120,nan,-21.8598,-32.9725,-39.2533,-0.9739,34.8861,1.6449,1.9429,-,0.0000 +sFC,nan,5.8683,-6.679,-19.0878,28.2467,73.9082,32.3652,44.9862,31.1453,- diff --git a/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_6/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_pvals.csv b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_6/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_pvals.csv new file mode 100644 index 00000000..c1b768e5 --- /dev/null +++ b/results/fmri/sim/d3s/N0200_T0200/HCP_noise_snr_6/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_pvals.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,,,,,,,,,, +SVWP_joint,,,4.9903e-21,3.2621e-60,5.3946e-62,1.3470e-198,5.8686e-76,1.6740e-98,3.6776e-70,9.2798e-09 +DCC_joint,,4.9903e-21,,6.2516e-31,2.5767e-105,8.9141e-233,3.0066e-120,1.2654e-157,7.2651e-116,8.1171e-11 +DCC_bivariate_loop,,3.2621e-60,6.2516e-31,,6.9637e-130,7.1594e-238,2.4639e-142,2.7657e-172,6.4267e-139,3.8868e-58 +SW_cross_validated,,5.3946e-62,2.5767e-105,6.9637e-130,,7.8757e-123,1.1051e-02,3.0473e-03,3.3071e-01,4.0391e-97 +SW_15,,1.3470e-198,8.9141e-233,7.1594e-238,7.8757e-123,,5.5970e-115,4.8458e-135,4.0847e-123,1.4989e-234 +SW_30,,5.8686e-76,3.0066e-120,2.4639e-142,1.1051e-02,5.5970e-115,,9.9867e-01,1.0077e-01,1.5993e-113 +SW_60,,1.6740e-98,1.2654e-157,2.7657e-172,3.0473e-03,4.8458e-135,9.9867e-01,,5.2739e-02,3.7607e-158 +SW_120,,3.6776e-70,7.2651e-116,6.4267e-139,3.3071e-01,4.0847e-123,1.0077e-01,5.2739e-02,,9.3219e-109 +sFC,,9.2798e-09,8.1171e-11,3.8868e-58,4.0391e-97,1.4989e-234,1.5993e-113,3.7607e-158,9.3219e-109, diff --git a/results/fmri/sim/d3s/N0200_T0200/no_noise/LEOO/optimal_window_lengths.csv b/results/fmri/sim/d3s/N0200_T0200/no_noise/LEOO/optimal_window_lengths.csv new file mode 100644 index 00000000..9e1566e8 --- /dev/null +++ b/results/fmri/sim/d3s/N0200_T0200/no_noise/LEOO/optimal_window_lengths.csv @@ -0,0 +1,201 @@ +,null,constant,periodic_1,periodic_2,periodic_3,stepwise,state_transition +0,35,25,25,23,21,29,47 +1,29,35,27,23,21,35,49 +2,45,39,41,21,21,41,33 +3,47,35,21,25,21,21,41 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+199,37,49,27,21,21,45,49 diff --git a/results/fmri/sim/d3s/N0200_T0200/no_noise/all/ttests/correlation_RMSE/boxcar_between_method_performance_T.csv b/results/fmri/sim/d3s/N0200_T0200/no_noise/all/ttests/correlation_RMSE/boxcar_between_method_performance_T.csv new file mode 100644 index 00000000..d26da819 --- /dev/null +++ b/results/fmri/sim/d3s/N0200_T0200/no_noise/all/ttests/correlation_RMSE/boxcar_between_method_performance_T.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,,,,,,,,,, +SVWP_joint,,,-7.42,-12.59,-11.68,-22.17,-23.83,9.15,7.55,7.96 +DCC_joint,,-7.42,,-7.28,-7.30,-20.19,-22.66,26.22,23.02,27.16 +DCC_bivariate_loop,,-12.59,-7.28,,-2.77,-13.32,-15.32,33.86,30.50,35.63 +SW_cross_validated,,-11.68,-7.30,-2.77,,-6.16,-7.10,21.90,20.43,21.32 +SW_15,,-22.17,-20.19,-13.32,-6.16,,-1.13,45.13,41.95,47.23 +SW_30,,-23.83,-22.66,-15.32,-7.10,-1.13,,50.13,46.43,53.43 +SW_60,,9.15,26.22,33.86,21.90,45.13,50.13,,-2.67,-3.92 +SW_120,,7.55,23.02,30.50,20.43,41.95,46.43,-2.67,,-0.28 +sFC,,7.96,27.16,35.63,21.32,47.23,53.43,-3.92,-0.28, diff --git a/results/fmri/sim/d3s/N0200_T0200/no_noise/all/ttests/correlation_RMSE/boxcar_between_method_performance_cohen_d.csv b/results/fmri/sim/d3s/N0200_T0200/no_noise/all/ttests/correlation_RMSE/boxcar_between_method_performance_cohen_d.csv new file mode 100644 index 00000000..ee3bb29a --- /dev/null +++ b/results/fmri/sim/d3s/N0200_T0200/no_noise/all/ttests/correlation_RMSE/boxcar_between_method_performance_cohen_d.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,,,,,,,,,, +SVWP_joint,,,0.74,1.26,1.17,2.22,2.38,0.91,0.75,0.80 +DCC_joint,,0.74,,0.73,0.73,2.02,2.27,2.62,2.30,2.72 +DCC_bivariate_loop,,1.26,0.73,,0.28,1.33,1.53,3.39,3.05,3.56 +SW_cross_validated,,1.17,0.73,0.28,,0.62,0.71,2.19,2.04,2.13 +SW_15,,2.22,2.02,1.33,0.62,,0.11,4.51,4.19,4.72 +SW_30,,2.38,2.27,1.53,0.71,0.11,,5.01,4.64,5.34 +SW_60,,0.91,2.62,3.39,2.19,4.51,5.01,,0.27,0.39 +SW_120,,0.75,2.30,3.05,2.04,4.19,4.64,0.27,,0.03 +sFC,,0.80,2.72,3.56,2.13,4.72,5.34,0.39,0.03, diff --git a/results/fmri/sim/d3s/N0200_T0200/no_noise/all/ttests/correlation_RMSE/boxcar_between_method_performance_ptests.csv b/results/fmri/sim/d3s/N0200_T0200/no_noise/all/ttests/correlation_RMSE/boxcar_between_method_performance_ptests.csv new file mode 100644 index 00000000..6890e54d --- /dev/null +++ b/results/fmri/sim/d3s/N0200_T0200/no_noise/all/ttests/correlation_RMSE/boxcar_between_method_performance_ptests.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,-,nan,nan,nan,nan,nan,nan,nan,nan,nan +SVWP_joint,nan,-,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000 +DCC_joint,nan,7.4246,-,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000 +DCC_bivariate_loop,nan,12.5877,7.2848,-,0.2134,0.0000,0.0000,0.0000,0.0000,0.0000 +SW_cross_validated,nan,11.6809,7.2975,2.7666,-,0.0000,0.0000,0.0000,0.0000,0.0000 +SW_15,nan,22.1745,20.1852,13.3197,6.1623,-,1.,0.0000,0.0000,0.0000 +SW_30,nan,23.8275,22.6563,15.319,7.1007,1.1285,-,0.0000,0.0000,0.0000 +SW_60,nan,-9.1464,-26.2234,-33.8577,-21.9,-45.132,-50.1322,-,0.2878,0.0038 +SW_120,nan,-7.5464,-23.0223,-30.4963,-20.4337,-41.947,-46.4321,2.6657,-,1. +sFC,nan,-7.9633,-27.1637,-35.6257,-21.3245,-47.2312,-53.4319,3.9153,0.2833,- diff --git a/results/fmri/sim/d3s/N0200_T0200/no_noise/all/ttests/correlation_RMSE/boxcar_between_method_performance_pvals.csv b/results/fmri/sim/d3s/N0200_T0200/no_noise/all/ttests/correlation_RMSE/boxcar_between_method_performance_pvals.csv new file mode 100644 index 00000000..51973dc5 --- /dev/null +++ b/results/fmri/sim/d3s/N0200_T0200/no_noise/all/ttests/correlation_RMSE/boxcar_between_method_performance_pvals.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,,,,,,,,,, +SVWP_joint,,,6.9369e-13,8.1065e-31,2.6259e-27,1.6075e-71,1.2740e-78,3.0827e-18,3.0750e-13,1.7738e-14 +DCC_joint,,6.9369e-13,,1.7428e-12,1.6029e-12,6.6776e-63,1.3461e-73,9.4041e-89,3.5888e-75,1.1523e-92 +DCC_bivariate_loop,,8.1065e-31,1.7428e-12,,5.9278e-03,9.8972e-34,5.7231e-42,3.0388e-119,3.4463e-106,7.2802e-126 +SW_cross_validated,,2.6259e-27,1.6029e-12,5.9278e-03,,1.7578e-09,5.7468e-12,2.4646e-70,5.5685e-64,7.6252e-68 +SW_15,,1.6075e-71,6.6776e-63,9.8972e-34,1.7578e-09,,2.5980e-01,1.2802e-158,3.6670e-148,3.0388e-165 +SW_30,,1.2740e-78,1.3461e-73,5.7231e-42,5.7468e-12,2.5980e-01,,4.5569e-174,9.5507e-163,1.1562e-183 +SW_60,,3.0827e-18,9.4041e-89,3.0388e-119,2.4646e-70,1.2802e-158,4.5569e-174,,7.9947e-03,1.0622e-04 +SW_120,,3.0750e-13,3.5888e-75,3.4463e-106,5.5685e-64,3.6670e-148,9.5507e-163,7.9947e-03,,7.7711e-01 +sFC,,1.7738e-14,1.1523e-92,7.2802e-126,7.6252e-68,3.0388e-165,1.1562e-183,1.0622e-04,7.7711e-01, diff --git a/results/fmri/sim/d3s/N0200_T0200/no_noise/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_T.csv b/results/fmri/sim/d3s/N0200_T0200/no_noise/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_T.csv new file mode 100644 index 00000000..b6ec17ec --- /dev/null +++ b/results/fmri/sim/d3s/N0200_T0200/no_noise/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_T.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,,,,,,,,,, +SVWP_joint,,,2.76,-8.47,4.42,26.02,4.01,19.76,13.78,9.34 +DCC_joint,,2.76,,-15.92,2.83,33.03,2.21,27.80,16.18,12.01 +DCC_bivariate_loop,,-8.47,-15.92,,14.81,41.50,15.14,37.75,27.15,26.36 +SW_cross_validated,,4.42,2.83,14.81,,23.91,-0.71,16.85,10.22,4.53 +SW_15,,26.02,33.03,41.50,23.91,,-26.26,-11.70,-14.92,-27.80 +SW_30,,4.01,2.21,15.14,-0.71,-26.26,,19.35,11.72,6.06 +SW_60,,19.76,27.80,37.75,16.85,-11.70,19.35,,-5.72,-20.99 +SW_120,,13.78,16.18,27.15,10.22,-14.92,11.72,-5.72,,-9.21 +sFC,,9.34,12.01,26.36,4.53,-27.80,6.06,-20.99,-9.21, diff --git a/results/fmri/sim/d3s/N0200_T0200/no_noise/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_cohen_d.csv b/results/fmri/sim/d3s/N0200_T0200/no_noise/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_cohen_d.csv new file mode 100644 index 00000000..de86d8a9 --- /dev/null +++ b/results/fmri/sim/d3s/N0200_T0200/no_noise/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_cohen_d.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,,,,,,,,,, +SVWP_joint,,,0.28,0.85,0.44,2.60,0.40,1.98,1.38,0.93 +DCC_joint,,0.28,,1.59,0.28,3.30,0.22,2.78,1.62,1.20 +DCC_bivariate_loop,,0.85,1.59,,1.48,4.15,1.51,3.77,2.71,2.64 +SW_cross_validated,,0.44,0.28,1.48,,2.39,0.07,1.68,1.02,0.45 +SW_15,,2.60,3.30,4.15,2.39,,2.63,1.17,1.49,2.78 +SW_30,,0.40,0.22,1.51,0.07,2.63,,1.93,1.17,0.61 +SW_60,,1.98,2.78,3.77,1.68,1.17,1.93,,0.57,2.10 +SW_120,,1.38,1.62,2.71,1.02,1.49,1.17,0.57,,0.92 +sFC,,0.93,1.20,2.64,0.45,2.78,0.61,2.10,0.92, diff --git a/results/fmri/sim/d3s/N0200_T0200/no_noise/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_ptests.csv b/results/fmri/sim/d3s/N0200_T0200/no_noise/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_ptests.csv new file mode 100644 index 00000000..20328746 --- /dev/null +++ b/results/fmri/sim/d3s/N0200_T0200/no_noise/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_ptests.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,-,nan,nan,nan,nan,nan,nan,nan,nan,nan +SVWP_joint,nan,-,0.2161,0.0000,0.0005,0.0000,0.0026,0.0000,0.0000,0.0000 +DCC_joint,nan,-2.7625,-,0.0000,0.1747,0.0000,0.9968,0.0000,0.0000,0.0000 +DCC_bivariate_loop,nan,8.4676,15.9204,-,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000 +SW_cross_validated,nan,-4.4231,-2.8326,-14.8125,-,0.0000,1.,0.0000,0.0000,0.0003 +SW_15,nan,-26.021,-33.03,-41.502,-23.9058,-,0.0000,0.0000,0.0000,0.0000 +SW_30,nan,-4.0106,-2.2098,-15.1381,0.7097,26.2569,-,0.0000,0.0000,0.0000 +SW_60,nan,-19.7632,-27.7958,-37.748,-16.8481,11.7014,-19.3497,-,0.0000,0.0000 +SW_120,nan,-13.783,-16.1771,-27.1451,-10.223,14.9165,-11.7161,5.7232,-,0.0000 +sFC,nan,-9.3393,-12.0089,-26.3578,-4.5337,27.8006,-6.0624,20.9894,9.2126,- diff --git a/results/fmri/sim/d3s/N0200_T0200/no_noise/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_pvals.csv b/results/fmri/sim/d3s/N0200_T0200/no_noise/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_pvals.csv new file mode 100644 index 00000000..92fbd220 --- /dev/null +++ b/results/fmri/sim/d3s/N0200_T0200/no_noise/all/ttests/correlation_matrix_RMSE/boxcar_between_method_performance_pvals.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,,,,,,,,,, +SVWP_joint,,,6.0026e-03,4.8816e-16,1.2574e-05,6.6145e-88,7.2330e-05,4.5421e-61,1.3178e-35,6.9811e-19 +DCC_joint,,6.0026e-03,,1.6529e-44,4.8518e-03,4.3723e-116,2.7688e-02,2.8478e-95,1.3421e-45,1.4563e-28 +DCC_bivariate_loop,,4.8816e-16,1.6529e-44,,7.5303e-40,1.1630e-146,3.2863e-41,1.3780e-133,1.3752e-92,2.5824e-89 +SW_cross_validated,,1.2574e-05,4.8518e-03,7.5303e-40,,5.8977e-79,4.7830e-01,1.8282e-48,6.1323e-22,7.6776e-06 +SW_15,,6.6145e-88,4.3723e-116,1.1630e-146,5.8977e-79,,6.8146e-89,2.1944e-27,2.7754e-40,2.7209e-95 +SW_30,,7.2330e-05,2.7688e-02,3.2863e-41,4.7830e-01,6.8146e-89,,2.8375e-59,1.9286e-27,3.1170e-09 +SW_60,,4.5421e-61,2.8478e-95,1.3780e-133,1.8282e-48,2.1944e-27,2.8375e-59,,2.0599e-08,2.1592e-66 +SW_120,,1.3178e-35,1.3421e-45,1.3752e-92,6.1323e-22,2.7754e-40,1.9286e-27,2.0599e-08,,1.8555e-18 +sFC,,6.9811e-19,1.4563e-28,2.5824e-89,7.6776e-06,2.7209e-95,3.1170e-09,2.1592e-66,1.8555e-18, diff --git a/results/fmri/sim/d3s/N0200_T0200/no_noise/all/ttests/covariance_RMSE/boxcar_between_method_performance_T.csv b/results/fmri/sim/d3s/N0200_T0200/no_noise/all/ttests/covariance_RMSE/boxcar_between_method_performance_T.csv new file mode 100644 index 00000000..57eee864 --- /dev/null +++ b/results/fmri/sim/d3s/N0200_T0200/no_noise/all/ttests/covariance_RMSE/boxcar_between_method_performance_T.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,,,,,,,,,, +SVWP_joint,,,-8.84,-14.28,-12.67,-14.06,-20.96,6.36,3.77,6.95 +DCC_joint,,-8.84,,-7.42,-6.88,-7.78,-16.27,22.90,18.30,26.78 +DCC_bivariate_loop,,-14.28,-7.42,,-1.78,-1.58,-9.50,30.47,25.72,35.08 +SW_cross_validated,,-12.67,-6.88,-1.78,,0.44,-5.31,21.20,18.63,22.41 +SW_15,,-14.06,-7.78,-1.58,0.44,,-6.78,25.97,22.50,28.32 +SW_30,,-20.96,-16.27,-9.50,-5.31,-6.78,,36.77,32.62,40.60 +SW_60,,6.36,22.90,30.47,21.20,25.97,36.77,,-4.09,0.32 +SW_120,,3.77,18.30,25.72,18.63,22.50,32.62,-4.09,,5.27 +sFC,,6.95,26.78,35.08,22.41,28.32,40.60,0.32,5.27, diff --git a/results/fmri/sim/d3s/N0200_T0200/no_noise/all/ttests/covariance_RMSE/boxcar_between_method_performance_cohen_d.csv b/results/fmri/sim/d3s/N0200_T0200/no_noise/all/ttests/covariance_RMSE/boxcar_between_method_performance_cohen_d.csv new file mode 100644 index 00000000..b5f2b8b2 --- /dev/null +++ b/results/fmri/sim/d3s/N0200_T0200/no_noise/all/ttests/covariance_RMSE/boxcar_between_method_performance_cohen_d.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,,,,,,,,,, +SVWP_joint,,,0.88,1.43,1.27,1.41,2.10,0.64,0.38,0.69 +DCC_joint,,0.88,,0.74,0.69,0.78,1.63,2.29,1.83,2.68 +DCC_bivariate_loop,,1.43,0.74,,0.18,0.16,0.95,3.05,2.57,3.51 +SW_cross_validated,,1.27,0.69,0.18,,0.04,0.53,2.12,1.86,2.24 +SW_15,,1.41,0.78,0.16,0.04,,0.68,2.60,2.25,2.83 +SW_30,,2.10,1.63,0.95,0.53,0.68,,3.68,3.26,4.06 +SW_60,,0.64,2.29,3.05,2.12,2.60,3.68,,0.41,0.03 +SW_120,,0.38,1.83,2.57,1.86,2.25,3.26,0.41,,0.53 +sFC,,0.69,2.68,3.51,2.24,2.83,4.06,0.03,0.53, diff --git a/results/fmri/sim/d3s/N0200_T0200/no_noise/all/ttests/covariance_RMSE/boxcar_between_method_performance_ptests.csv b/results/fmri/sim/d3s/N0200_T0200/no_noise/all/ttests/covariance_RMSE/boxcar_between_method_performance_ptests.csv new file mode 100644 index 00000000..fb9d6972 --- /dev/null +++ b/results/fmri/sim/d3s/N0200_T0200/no_noise/all/ttests/covariance_RMSE/boxcar_between_method_performance_ptests.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,-,nan,nan,nan,nan,nan,nan,nan,nan,nan +SVWP_joint,nan,-,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0069,0.0000 +DCC_joint,nan,8.8358,-,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000 +DCC_bivariate_loop,nan,14.2822,7.4245,-,1.,1.,0.0000,0.0000,0.0000,0.0000 +SW_cross_validated,nan,12.6712,6.8781,1.7817,-,1.,0.0000,0.0000,0.0000,0.0000 +SW_15,nan,14.0594,7.7835,1.5767,-0.4361,-,0.0000,0.0000,0.0000,0.0000 +SW_30,nan,20.9575,16.2705,9.4987,5.3058,6.7847,-,0.0000,0.0000,0.0000 +SW_60,nan,-6.3644,-22.8962,-30.4708,-21.2023,-25.9732,-36.7734,-,0.0019,1. +SW_120,nan,-3.7652,-18.2973,-25.7195,-18.6328,-22.5043,-32.6172,4.0861,-,0.0000 +sFC,nan,-6.9472,-26.7803,-35.0813,-22.4109,-28.3225,-40.595,-0.3168,-5.2709,- diff --git a/results/fmri/sim/d3s/N0200_T0200/no_noise/all/ttests/covariance_RMSE/boxcar_between_method_performance_pvals.csv b/results/fmri/sim/d3s/N0200_T0200/no_noise/all/ttests/covariance_RMSE/boxcar_between_method_performance_pvals.csv new file mode 100644 index 00000000..75776218 --- /dev/null +++ b/results/fmri/sim/d3s/N0200_T0200/no_noise/all/ttests/covariance_RMSE/boxcar_between_method_performance_pvals.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,,,,,,,,,, +SVWP_joint,,,3.2283e-17,1.1862e-37,3.8012e-31,9.7769e-37,2.9710e-66,5.4018e-10,1.9151e-04,1.5283e-11 +DCC_joint,,3.2283e-17,,6.9411e-13,2.3611e-11,6.1521e-14,5.3732e-46,1.2494e-74,1.0384e-54,4.4857e-91 +DCC_bivariate_loop,,1.1862e-37,6.9411e-13,,7.5554e-02,1.1566e-01,2.0181e-19,4.3504e-106,1.2178e-86,7.6341e-124 +SW_cross_validated,,3.8012e-31,2.3611e-11,7.5554e-02,,6.6302e-01,1.8670e-07,2.5784e-67,3.6574e-56,1.5356e-72 +SW_15,,9.7769e-37,6.1521e-14,1.1566e-01,6.6302e-01,,4.2278e-11,1.0494e-87,6.0773e-73,1.9802e-97 +SW_30,,2.9710e-66,5.3732e-46,2.0181e-19,1.8670e-07,4.2278e-11,,4.5237e-130,1.6969e-114,1.4347e-143 +SW_60,,5.4018e-10,1.2494e-74,4.3504e-106,2.5784e-67,1.0494e-87,4.5237e-130,,5.3066e-05,7.5155e-01 +SW_120,,1.9151e-04,1.0384e-54,1.2178e-86,3.6574e-56,6.0773e-73,1.6969e-114,5.3066e-05,,2.2308e-07 +sFC,,1.5283e-11,4.4857e-91,7.6341e-124,1.5356e-72,1.9802e-97,1.4347e-143,7.5155e-01,2.2308e-07, diff --git a/results/fmri/sim/d3s/N0200_T0200/no_noise/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_T.csv b/results/fmri/sim/d3s/N0200_T0200/no_noise/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_T.csv new file mode 100644 index 00000000..fde8722d --- /dev/null +++ b/results/fmri/sim/d3s/N0200_T0200/no_noise/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_T.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,,,,,,,,,, +SVWP_joint,,,-10.18,-21.20,18.29,56.74,22.02,26.05,18.07,-5.58 +DCC_joint,,-10.18,,-15.05,31.15,75.51,36.59,46.62,29.62,8.15 +DCC_bivariate_loop,,-21.20,-15.05,,39.41,78.99,44.38,52.92,37.72,22.96 +SW_cross_validated,,18.29,31.15,39.41,,37.49,2.81,3.74,0.87,-28.61 +SW_15,,56.74,75.51,78.99,37.49,,-36.18,-40.51,-34.58,-76.53 +SW_30,,22.02,36.59,44.38,2.81,-36.18,,0.56,-1.74,-34.60 +SW_60,,26.05,46.62,52.92,3.74,-40.51,0.56,,-2.44,-47.10 +SW_120,,18.07,29.62,37.72,0.87,-34.58,-1.74,-2.44,,-27.00 +sFC,,-5.58,8.15,22.96,-28.61,-76.53,-34.60,-47.10,-27.00, diff --git a/results/fmri/sim/d3s/N0200_T0200/no_noise/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_cohen_d.csv b/results/fmri/sim/d3s/N0200_T0200/no_noise/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_cohen_d.csv new file mode 100644 index 00000000..c9728472 --- /dev/null +++ b/results/fmri/sim/d3s/N0200_T0200/no_noise/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_cohen_d.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,,,,,,,,,, +SVWP_joint,,,1.02,2.12,1.83,5.67,2.20,2.60,1.81,0.56 +DCC_joint,,1.02,,1.51,3.11,7.55,3.66,4.66,2.96,0.81 +DCC_bivariate_loop,,2.12,1.51,,3.94,7.90,4.44,5.29,3.77,2.30 +SW_cross_validated,,1.83,3.11,3.94,,3.75,0.28,0.37,0.09,2.86 +SW_15,,5.67,7.55,7.90,3.75,,3.62,4.05,3.46,7.65 +SW_30,,2.20,3.66,4.44,0.28,3.62,,0.06,0.17,3.46 +SW_60,,2.60,4.66,5.29,0.37,4.05,0.06,,0.24,4.71 +SW_120,,1.81,2.96,3.77,0.09,3.46,0.17,0.24,,2.70 +sFC,,0.56,0.81,2.30,2.86,7.65,3.46,4.71,2.70, diff --git a/results/fmri/sim/d3s/N0200_T0200/no_noise/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_ptests.csv b/results/fmri/sim/d3s/N0200_T0200/no_noise/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_ptests.csv new file mode 100644 index 00000000..49164631 --- /dev/null +++ b/results/fmri/sim/d3s/N0200_T0200/no_noise/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_ptests.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,-,nan,nan,nan,nan,nan,nan,nan,nan,nan +SVWP_joint,nan,-,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000 +DCC_joint,nan,10.1765,-,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000 +DCC_bivariate_loop,nan,21.2,15.0549,-,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000 +SW_cross_validated,nan,-18.2942,-31.1465,-39.4068,-,0.0000,0.1866,0.0076,1.,0.0000 +SW_15,nan,-56.7414,-75.5054,-78.9919,-37.492,-,0.0000,0.0000,0.0000,0.0000 +SW_30,nan,-22.019,-36.5855,-44.3766,-2.8109,36.1786,-,1.,1.,0.0000 +SW_60,nan,-26.047,-46.6234,-52.9184,-3.7389,40.5103,-0.559,-,0.5515,0.0000 +SW_120,nan,-18.0727,-29.6211,-37.7161,-0.8711,34.5812,1.7363,2.4352,-,0.0000 +sFC,nan,5.5758,-8.1479,-22.9622,28.6115,76.5284,34.5975,47.1033,27.0029,- diff --git a/results/fmri/sim/d3s/N0200_T0200/no_noise/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_pvals.csv b/results/fmri/sim/d3s/N0200_T0200/no_noise/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_pvals.csv new file mode 100644 index 00000000..8e08b299 --- /dev/null +++ b/results/fmri/sim/d3s/N0200_T0200/no_noise/all/ttests/covariance_matrix_RMSE/boxcar_between_method_performance_pvals.csv @@ -0,0 +1,11 @@ +,VWP_joint,SVWP_joint,DCC_joint,DCC_bivariate_loop,SW_cross_validated,SW_15,SW_30,SW_60,SW_120,sFC +VWP_joint,,,,,,,,,, +SVWP_joint,,,8.9632e-22,2.6394e-67,1.0704e-54,7.5543e-193,7.5434e-71,5.1481e-88,9.7301e-54,4.5550e-08 +DCC_joint,,8.9632e-22,,7.3258e-41,9.2212e-109,5.3178e-238,2.1845e-129,2.3963e-163,1.0835e-102,4.8449e-15 +DCC_bivariate_loop,,2.6394e-67,7.3258e-41,,1.8663e-139,2.5705e-245,3.4858e-156,3.3629e-182,1.7930e-133,6.4986e-75 +SW_cross_validated,,1.0704e-54,9.2212e-109,1.8663e-139,,1.1427e-132,5.1842e-03,2.1193e-04,3.8422e-01,1.3125e-98 +SW_15,,7.5543e-193,5.3178e-238,2.5705e-245,1.1427e-132,,6.7121e-128,2.8038e-143,5.6607e-122,3.5398e-240 +SW_30,,7.5434e-71,2.1845e-129,3.4858e-156,5.1842e-03,6.7121e-128,,5.7646e-01,8.3289e-02,4.9197e-122 +SW_60,,5.1481e-88,2.3963e-163,3.3629e-182,2.1193e-04,2.8038e-143,5.7646e-01,,1.5320e-02,7.5901e-165 +SW_120,,9.7301e-54,1.0835e-102,1.7930e-133,3.8422e-01,5.6607e-122,8.3289e-02,1.5320e-02,,5.3411e-92 +sFC,,4.5550e-08,4.8449e-15,6.4986e-75,1.3125e-98,3.5398e-240,4.9197e-122,7.5901e-165,5.3411e-92, From 7c5b803a2c19b577b9b44a21c47b1676a5aab5a6 Mon Sep 17 00:00:00 2001 From: "onno.kampman@gmail.com" Date: Sat, 1 Jun 2024 08:09:58 +0100 Subject: [PATCH 5/9] add SW-CV windows lenghts --- .../HCP_noise_snr_1/LEOO/optimal_window_lengths.csv | 11 +++++++++++ .../HCP_noise_snr_2/LEOO/optimal_window_lengths.csv | 11 +++++++++++ .../HCP_noise_snr_6/LEOO/optimal_window_lengths.csv | 11 +++++++++++ .../no_noise/LEOO/optimal_window_lengths.csv | 11 +++++++++++ .../HCP_noise_snr_1/LEOO/optimal_window_lengths.csv | 11 +++++++++++ .../HCP_noise_snr_2/LEOO/optimal_window_lengths.csv | 11 +++++++++++ .../HCP_noise_snr_6/LEOO/optimal_window_lengths.csv | 11 +++++++++++ .../no_noise/LEOO/optimal_window_lengths.csv | 11 +++++++++++ .../HCP_noise_snr_1/LEOO/optimal_window_lengths.csv | 11 +++++++++++ .../HCP_noise_snr_2/LEOO/optimal_window_lengths.csv | 11 +++++++++++ .../HCP_noise_snr_6/LEOO/optimal_window_lengths.csv | 11 +++++++++++ .../no_noise/LEOO/optimal_window_lengths.csv | 11 +++++++++++ 12 files changed, 132 insertions(+) create mode 100644 results/fmri/sim/d15s/N0400_T0010/HCP_noise_snr_1/LEOO/optimal_window_lengths.csv create mode 100644 results/fmri/sim/d15s/N0400_T0010/HCP_noise_snr_2/LEOO/optimal_window_lengths.csv create mode 100644 results/fmri/sim/d15s/N0400_T0010/HCP_noise_snr_6/LEOO/optimal_window_lengths.csv create mode 100644 results/fmri/sim/d15s/N0400_T0010/no_noise/LEOO/optimal_window_lengths.csv create mode 100644 results/fmri/sim/d6s/N0400_T0010/HCP_noise_snr_1/LEOO/optimal_window_lengths.csv create mode 100644 results/fmri/sim/d6s/N0400_T0010/HCP_noise_snr_2/LEOO/optimal_window_lengths.csv create mode 100644 results/fmri/sim/d6s/N0400_T0010/HCP_noise_snr_6/LEOO/optimal_window_lengths.csv create mode 100644 results/fmri/sim/d6s/N0400_T0010/no_noise/LEOO/optimal_window_lengths.csv create mode 100644 results/fmri/sim/d9s/N0400_T0010/HCP_noise_snr_1/LEOO/optimal_window_lengths.csv create mode 100644 results/fmri/sim/d9s/N0400_T0010/HCP_noise_snr_2/LEOO/optimal_window_lengths.csv create mode 100644 results/fmri/sim/d9s/N0400_T0010/HCP_noise_snr_6/LEOO/optimal_window_lengths.csv create mode 100644 results/fmri/sim/d9s/N0400_T0010/no_noise/LEOO/optimal_window_lengths.csv diff --git a/results/fmri/sim/d15s/N0400_T0010/HCP_noise_snr_1/LEOO/optimal_window_lengths.csv b/results/fmri/sim/d15s/N0400_T0010/HCP_noise_snr_1/LEOO/optimal_window_lengths.csv new file mode 100644 index 00000000..07108910 --- /dev/null +++ b/results/fmri/sim/d15s/N0400_T0010/HCP_noise_snr_1/LEOO/optimal_window_lengths.csv @@ -0,0 +1,11 @@ +,null,constant,periodic_1,periodic_2,periodic_3,periodic_4,periodic_5,boxcar,stepwise,state_transition,change_point +0,99,79,77,99,97,99,99,99,91,99,99 +1,99,95,99,99,99,93,99,99,85,99,97 +2,99,99,99,99,99,97,99,99,91,95,97 +3,85,99,91,99,99,99,91,97,93,99,99 +4,99,93,89,99,99,99,99,99,97,97,99 +5,99,97,99,99,91,99,99,99,87,91,99 +6,97,99,83,95,99,99,99,95,93,85,99 +7,91,99,99,97,99,99,99,97,97,99,99 +8,97,99,99,93,99,99,99,89,97,99,99 +9,99,97,99,99,99,97,95,97,99,99,99 diff --git a/results/fmri/sim/d15s/N0400_T0010/HCP_noise_snr_2/LEOO/optimal_window_lengths.csv b/results/fmri/sim/d15s/N0400_T0010/HCP_noise_snr_2/LEOO/optimal_window_lengths.csv new file mode 100644 index 00000000..0d5dc415 --- /dev/null +++ b/results/fmri/sim/d15s/N0400_T0010/HCP_noise_snr_2/LEOO/optimal_window_lengths.csv @@ -0,0 +1,11 @@ +,null,constant,periodic_1,periodic_2,periodic_3,periodic_4,periodic_5,boxcar,stepwise,state_transition,change_point +0,99,97,99,97,99,99,99,99,99,99,99 +1,99,99,95,97,99,93,95,97,99,99,99 +2,91,99,91,99,99,95,99,97,91,99,99 +3,99,99,99,99,99,99,99,99,99,97,99 +4,99,99,99,97,99,99,97,99,99,97,97 +5,99,99,99,99,99,99,99,99,99,89,99 +6,99,99,93,99,99,99,99,91,99,97,99 +7,99,99,99,95,99,99,95,97,99,95,99 +8,95,99,99,95,99,95,99,99,99,95,99 +9,99,95,99,99,99,99,97,97,99,97,99 diff --git a/results/fmri/sim/d15s/N0400_T0010/HCP_noise_snr_6/LEOO/optimal_window_lengths.csv b/results/fmri/sim/d15s/N0400_T0010/HCP_noise_snr_6/LEOO/optimal_window_lengths.csv new file mode 100644 index 00000000..b5a95aa7 --- /dev/null +++ b/results/fmri/sim/d15s/N0400_T0010/HCP_noise_snr_6/LEOO/optimal_window_lengths.csv @@ -0,0 +1,11 @@ +,null,constant,periodic_1,periodic_2,periodic_3,periodic_4,periodic_5,boxcar,stepwise,state_transition,change_point +0,99,99,99,99,99,99,99,99,99,99,99 +1,99,99,99,99,99,99,99,99,99,99,99 +2,99,99,99,95,99,99,99,99,99,97,99 +3,99,99,97,99,99,99,99,99,99,99,99 +4,99,99,99,95,99,99,93,99,99,99,99 +5,99,99,95,93,97,99,99,99,99,99,99 +6,99,99,99,99,97,99,99,99,99,99,99 +7,99,99,95,99,99,99,97,99,99,95,95 +8,99,99,99,97,99,99,99,99,99,99,99 +9,95,99,99,99,99,91,99,99,99,99,99 diff --git a/results/fmri/sim/d15s/N0400_T0010/no_noise/LEOO/optimal_window_lengths.csv b/results/fmri/sim/d15s/N0400_T0010/no_noise/LEOO/optimal_window_lengths.csv new file mode 100644 index 00000000..e7bb973e --- /dev/null +++ b/results/fmri/sim/d15s/N0400_T0010/no_noise/LEOO/optimal_window_lengths.csv @@ -0,0 +1,11 @@ +,null,constant,periodic_1,periodic_2,periodic_3,periodic_4,periodic_5,boxcar,stepwise,state_transition,change_point +0,99,99,97,95,99,97,99,99,99,95,99 +1,99,97,93,99,99,99,99,99,99,97,99 +2,99,99,99,95,95,99,99,99,87,99,99 +3,99,99,93,99,99,99,99,99,99,91,83 +4,99,91,99,93,97,99,99,99,99,99,99 +5,99,99,99,97,97,99,99,99,99,99,99 +6,99,99,97,99,99,99,99,99,77,99,99 +7,99,99,97,99,99,99,99,95,99,99,97 +8,99,99,99,99,99,99,99,99,97,99,97 +9,97,97,99,93,99,99,99,99,99,99,99 diff --git a/results/fmri/sim/d6s/N0400_T0010/HCP_noise_snr_1/LEOO/optimal_window_lengths.csv b/results/fmri/sim/d6s/N0400_T0010/HCP_noise_snr_1/LEOO/optimal_window_lengths.csv new file mode 100644 index 00000000..6776f118 --- /dev/null +++ b/results/fmri/sim/d6s/N0400_T0010/HCP_noise_snr_1/LEOO/optimal_window_lengths.csv @@ -0,0 +1,11 @@ +,null,constant,periodic_1,periodic_2,periodic_3,periodic_4,periodic_5,boxcar,stepwise,state_transition,change_point +0,93,91,57,99,59,95,99,85,85,89,99 +1,99,61,73,95,79,93,91,99,99,55,83 +2,87,89,47,73,37,99,99,39,85,79,99 +3,97,99,81,71,61,47,97,99,49,99,75 +4,99,73,85,83,47,99,71,99,99,97,45 +5,77,79,79,89,95,45,51,83,67,99,99 +6,97,59,77,51,55,99,91,99,99,55,85 +7,75,95,99,61,95,95,97,93,97,99,85 +8,95,85,99,47,59,93,97,99,97,91,67 +9,97,81,61,83,41,47,85,99,97,81,99 diff --git a/results/fmri/sim/d6s/N0400_T0010/HCP_noise_snr_2/LEOO/optimal_window_lengths.csv b/results/fmri/sim/d6s/N0400_T0010/HCP_noise_snr_2/LEOO/optimal_window_lengths.csv new file mode 100644 index 00000000..5c721c2c --- /dev/null +++ b/results/fmri/sim/d6s/N0400_T0010/HCP_noise_snr_2/LEOO/optimal_window_lengths.csv @@ -0,0 +1,11 @@ +,null,constant,periodic_1,periodic_2,periodic_3,periodic_4,periodic_5,boxcar,stepwise,state_transition,change_point +0,99,99,93,63,71,39,89,57,99,85,47 +1,99,95,61,65,47,99,97,91,97,79,99 +2,91,99,93,75,57,99,99,99,99,99,99 +3,97,95,97,63,45,91,99,99,65,97,93 +4,93,75,69,51,59,95,99,97,95,81,99 +5,99,99,99,47,63,31,97,55,69,83,99 +6,83,97,69,55,71,95,99,99,99,63,99 +7,89,87,99,87,45,33,97,99,97,99,89 +8,99,99,83,75,57,43,95,85,67,73,97 +9,89,99,61,51,57,97,97,57,89,99,81 diff --git a/results/fmri/sim/d6s/N0400_T0010/HCP_noise_snr_6/LEOO/optimal_window_lengths.csv b/results/fmri/sim/d6s/N0400_T0010/HCP_noise_snr_6/LEOO/optimal_window_lengths.csv new file mode 100644 index 00000000..b345b0d2 --- /dev/null +++ b/results/fmri/sim/d6s/N0400_T0010/HCP_noise_snr_6/LEOO/optimal_window_lengths.csv @@ -0,0 +1,11 @@ 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a/results/fmri/sim/d9s/N0400_T0010/HCP_noise_snr_6/LEOO/optimal_window_lengths.csv b/results/fmri/sim/d9s/N0400_T0010/HCP_noise_snr_6/LEOO/optimal_window_lengths.csv new file mode 100644 index 00000000..9757ef62 --- /dev/null +++ b/results/fmri/sim/d9s/N0400_T0010/HCP_noise_snr_6/LEOO/optimal_window_lengths.csv @@ -0,0 +1,11 @@ +,null,constant,periodic_1,periodic_2,periodic_3,periodic_4,periodic_5,boxcar,stepwise,state_transition,change_point +0,91,87,93,77,99,99,95,99,97,95,95 +1,99,99,67,75,69,99,99,99,99,99,95 +2,95,99,99,41,53,99,99,99,97,99,97 +3,97,91,95,61,55,99,99,99,87,81,99 +4,93,99,87,57,41,99,89,99,97,95,99 +5,99,99,79,75,99,99,93,91,97,97,89 +6,99,99,83,97,99,99,99,99,97,89,95 +7,99,99,77,75,69,99,99,69,97,77,99 +8,97,99,79,75,93,99,99,93,99,99,81 +9,93,91,95,93,99,99,95,85,85,99,95 diff --git a/results/fmri/sim/d9s/N0400_T0010/no_noise/LEOO/optimal_window_lengths.csv b/results/fmri/sim/d9s/N0400_T0010/no_noise/LEOO/optimal_window_lengths.csv new file mode 100644 index 00000000..6d51fa31 --- /dev/null +++ b/results/fmri/sim/d9s/N0400_T0010/no_noise/LEOO/optimal_window_lengths.csv @@ -0,0 +1,11 @@ +,null,constant,periodic_1,periodic_2,periodic_3,periodic_4,periodic_5,boxcar,stepwise,state_transition,change_point +0,85,93,97,51,99,95,99,99,77,97,99 +1,99,99,91,89,63,99,95,99,97,83,97 +2,99,99,85,63,57,99,99,99,81,99,95 +3,91,91,91,69,73,99,95,99,97,91,99 +4,95,99,53,51,99,99,99,73,75,99,99 +5,95,99,99,61,69,99,99,99,81,95,99 +6,97,99,81,81,93,99,99,99,79,85,73 +7,95,99,89,87,67,99,99,95,97,99,99 +8,95,97,99,45,81,99,97,79,99,99,99 +9,99,97,87,67,97,99,93,99,99,87,99 From af7ad301955f9d7f1557b132a4f902f81aadb6a2 Mon Sep 17 00:00:00 2001 From: Onno Kampman Date: Sat, 1 Jun 2024 15:31:19 +0800 Subject: [PATCH 6/9] refactor imputation benchmark results --- .../compute_LEOO_likelihoods.py | 4 ++-- .../plot_LEOO_likelihoods.py | 18 +++++++++++------- ...tistical_test_between_estimation_methods.py | 5 ++++- ..._HCP_noise_snr_1_boxcar_likelihoods_cod.csv | 0 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HCP_noise_snr_1/LEOO}/imputation_benchmark/LEOO_HCP_noise_snr_1_null_likelihoods_pvals.csv (100%) rename results/fmri/sim/d4s/N0400_T0010/{ => HCP_noise_snr_1/LEOO}/imputation_benchmark/LEOO_HCP_noise_snr_1_periodic_1_likelihoods_cod.csv (100%) rename results/fmri/sim/d4s/N0400_T0010/{ => HCP_noise_snr_1/LEOO}/imputation_benchmark/LEOO_HCP_noise_snr_1_periodic_1_likelihoods_pvals.csv (100%) rename results/fmri/sim/d4s/N0400_T0010/{ => HCP_noise_snr_1/LEOO}/imputation_benchmark/LEOO_HCP_noise_snr_1_periodic_3_likelihoods_cod.csv (100%) rename results/fmri/sim/d4s/N0400_T0010/{ => HCP_noise_snr_1/LEOO}/imputation_benchmark/LEOO_HCP_noise_snr_1_periodic_3_likelihoods_pvals.csv (100%) rename results/fmri/sim/d4s/N0400_T0010/{ => HCP_noise_snr_1/LEOO}/imputation_benchmark/LEOO_HCP_noise_snr_1_state_transition_likelihoods_cod.csv (100%) rename results/fmri/sim/d4s/N0400_T0010/{ => HCP_noise_snr_1/LEOO}/imputation_benchmark/LEOO_HCP_noise_snr_1_state_transition_likelihoods_pvals.csv (100%) rename results/fmri/sim/d4s/N0400_T0010/{ => HCP_noise_snr_1/LEOO}/imputation_benchmark/LEOO_HCP_noise_snr_1_stepwise_likelihoods_cod.csv (100%) rename results/fmri/sim/d4s/N0400_T0010/{ => HCP_noise_snr_1/LEOO}/imputation_benchmark/LEOO_HCP_noise_snr_1_stepwise_likelihoods_pvals.csv (100%) delete mode 100644 results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_2/LEOO/SVWP_kernel_lengthscales_kernel_params.csv delete mode 100644 results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_2/LEOO/SVWP_kernel_variance_kernel_params.csv delete mode 100644 results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_2/LEOO/VWP_kernel_lengthscales_kernel_params.csv delete mode 100644 results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_2/LEOO/VWP_kernel_variance_kernel_params.csv rename results/fmri/sim/d4s/N0400_T0010/{ => HCP_noise_snr_2/LEOO}/imputation_benchmark/LEOO_HCP_noise_snr_2_boxcar_likelihoods_cod.csv (100%) rename results/fmri/sim/d4s/N0400_T0010/{ => HCP_noise_snr_2/LEOO}/imputation_benchmark/LEOO_HCP_noise_snr_2_boxcar_likelihoods_pvals.csv (100%) rename results/fmri/sim/d4s/N0400_T0010/{ => HCP_noise_snr_2/LEOO}/imputation_benchmark/LEOO_HCP_noise_snr_2_constant_likelihoods_cod.csv (100%) rename results/fmri/sim/d4s/N0400_T0010/{ => HCP_noise_snr_2/LEOO}/imputation_benchmark/LEOO_HCP_noise_snr_2_constant_likelihoods_pvals.csv (100%) rename results/fmri/sim/d4s/N0400_T0010/{ => HCP_noise_snr_2/LEOO}/imputation_benchmark/LEOO_HCP_noise_snr_2_likelihoods_DCC_bivariate_loop.csv (100%) rename results/fmri/sim/d4s/N0400_T0010/{ => HCP_noise_snr_2/LEOO}/imputation_benchmark/LEOO_HCP_noise_snr_2_likelihoods_DCC_joint.csv (100%) rename results/fmri/sim/d4s/N0400_T0010/{ => HCP_noise_snr_2/LEOO}/imputation_benchmark/LEOO_HCP_noise_snr_2_likelihoods_SVWP_joint.csv (100%) rename results/fmri/sim/d4s/N0400_T0010/{ => HCP_noise_snr_2/LEOO}/imputation_benchmark/LEOO_HCP_noise_snr_2_likelihoods_SW_30.csv (100%) rename results/fmri/sim/d4s/N0400_T0010/{ => HCP_noise_snr_2/LEOO}/imputation_benchmark/LEOO_HCP_noise_snr_2_likelihoods_SW_60.csv (100%) rename results/fmri/sim/d4s/N0400_T0010/{ => HCP_noise_snr_2/LEOO}/imputation_benchmark/LEOO_HCP_noise_snr_2_likelihoods_SW_cross_validated.csv (100%) rename results/fmri/sim/d4s/N0400_T0010/{ => HCP_noise_snr_2/LEOO}/imputation_benchmark/LEOO_HCP_noise_snr_2_likelihoods_sFC.csv (100%) rename results/fmri/sim/d4s/N0400_T0010/{ => HCP_noise_snr_2/LEOO}/imputation_benchmark/LEOO_HCP_noise_snr_2_null_likelihoods_cod.csv (100%) rename results/fmri/sim/d4s/N0400_T0010/{ => HCP_noise_snr_2/LEOO}/imputation_benchmark/LEOO_HCP_noise_snr_2_null_likelihoods_pvals.csv (100%) rename results/fmri/sim/d4s/N0400_T0010/{ => HCP_noise_snr_2/LEOO}/imputation_benchmark/LEOO_HCP_noise_snr_2_periodic_1_likelihoods_cod.csv (100%) rename results/fmri/sim/d4s/N0400_T0010/{ => HCP_noise_snr_2/LEOO}/imputation_benchmark/LEOO_HCP_noise_snr_2_periodic_1_likelihoods_pvals.csv (100%) rename results/fmri/sim/d4s/N0400_T0010/{ => HCP_noise_snr_2/LEOO}/imputation_benchmark/LEOO_HCP_noise_snr_2_periodic_3_likelihoods_cod.csv (100%) rename results/fmri/sim/d4s/N0400_T0010/{ => HCP_noise_snr_2/LEOO}/imputation_benchmark/LEOO_HCP_noise_snr_2_periodic_3_likelihoods_pvals.csv (100%) rename results/fmri/sim/d4s/N0400_T0010/{ => HCP_noise_snr_2/LEOO}/imputation_benchmark/LEOO_HCP_noise_snr_2_state_transition_likelihoods_cod.csv (100%) rename results/fmri/sim/d4s/N0400_T0010/{ => HCP_noise_snr_2/LEOO}/imputation_benchmark/LEOO_HCP_noise_snr_2_state_transition_likelihoods_pvals.csv (100%) rename results/fmri/sim/d4s/N0400_T0010/{ => HCP_noise_snr_2/LEOO}/imputation_benchmark/LEOO_HCP_noise_snr_2_stepwise_likelihoods_cod.csv (100%) rename results/fmri/sim/d4s/N0400_T0010/{ => HCP_noise_snr_2/LEOO}/imputation_benchmark/LEOO_HCP_noise_snr_2_stepwise_likelihoods_pvals.csv (100%) delete mode 100644 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HCP_noise_snr_6/LEOO}/imputation_benchmark/LEOO_HCP_noise_snr_6_constant_likelihoods_pvals.csv (100%) rename results/fmri/sim/d4s/N0400_T0010/{ => HCP_noise_snr_6/LEOO}/imputation_benchmark/LEOO_HCP_noise_snr_6_likelihoods_DCC_bivariate_loop.csv (100%) rename results/fmri/sim/d4s/N0400_T0010/{ => HCP_noise_snr_6/LEOO}/imputation_benchmark/LEOO_HCP_noise_snr_6_likelihoods_DCC_joint.csv (100%) rename results/fmri/sim/d4s/N0400_T0010/{ => HCP_noise_snr_6/LEOO}/imputation_benchmark/LEOO_HCP_noise_snr_6_likelihoods_SVWP_joint.csv (100%) rename results/fmri/sim/d4s/N0400_T0010/{ => HCP_noise_snr_6/LEOO}/imputation_benchmark/LEOO_HCP_noise_snr_6_likelihoods_SW_30.csv (100%) rename results/fmri/sim/d4s/N0400_T0010/{ => HCP_noise_snr_6/LEOO}/imputation_benchmark/LEOO_HCP_noise_snr_6_likelihoods_SW_60.csv (100%) rename results/fmri/sim/d4s/N0400_T0010/{ => HCP_noise_snr_6/LEOO}/imputation_benchmark/LEOO_HCP_noise_snr_6_likelihoods_SW_cross_validated.csv (100%) rename results/fmri/sim/d4s/N0400_T0010/{ => HCP_noise_snr_6/LEOO}/imputation_benchmark/LEOO_HCP_noise_snr_6_likelihoods_sFC.csv (100%) rename results/fmri/sim/d4s/N0400_T0010/{ => HCP_noise_snr_6/LEOO}/imputation_benchmark/LEOO_HCP_noise_snr_6_null_likelihoods_cod.csv (100%) rename results/fmri/sim/d4s/N0400_T0010/{ => HCP_noise_snr_6/LEOO}/imputation_benchmark/LEOO_HCP_noise_snr_6_null_likelihoods_pvals.csv (100%) rename results/fmri/sim/d4s/N0400_T0010/{ => HCP_noise_snr_6/LEOO}/imputation_benchmark/LEOO_HCP_noise_snr_6_periodic_1_likelihoods_cod.csv (100%) rename results/fmri/sim/d4s/N0400_T0010/{ => HCP_noise_snr_6/LEOO}/imputation_benchmark/LEOO_HCP_noise_snr_6_periodic_1_likelihoods_pvals.csv (100%) rename results/fmri/sim/d4s/N0400_T0010/{ => HCP_noise_snr_6/LEOO}/imputation_benchmark/LEOO_HCP_noise_snr_6_periodic_3_likelihoods_cod.csv (100%) rename results/fmri/sim/d4s/N0400_T0010/{ => HCP_noise_snr_6/LEOO}/imputation_benchmark/LEOO_HCP_noise_snr_6_periodic_3_likelihoods_pvals.csv (100%) rename results/fmri/sim/d4s/N0400_T0010/{ => HCP_noise_snr_6/LEOO}/imputation_benchmark/LEOO_HCP_noise_snr_6_state_transition_likelihoods_cod.csv (100%) rename results/fmri/sim/d4s/N0400_T0010/{ => HCP_noise_snr_6/LEOO}/imputation_benchmark/LEOO_HCP_noise_snr_6_state_transition_likelihoods_pvals.csv (100%) rename results/fmri/sim/d4s/N0400_T0010/{ => HCP_noise_snr_6/LEOO}/imputation_benchmark/LEOO_HCP_noise_snr_6_stepwise_likelihoods_cod.csv (100%) rename results/fmri/sim/d4s/N0400_T0010/{ => HCP_noise_snr_6/LEOO}/imputation_benchmark/LEOO_HCP_noise_snr_6_stepwise_likelihoods_pvals.csv (100%) delete mode 100644 results/fmri/sim/d4s/N0400_T0010/no_noise/LEOO/SVWP_kernel_lengthscales_kernel_params.csv delete mode 100644 results/fmri/sim/d4s/N0400_T0010/no_noise/LEOO/SVWP_kernel_variance_kernel_params.csv delete mode 100644 results/fmri/sim/d4s/N0400_T0010/no_noise/LEOO/VWP_kernel_lengthscales_kernel_params.csv delete mode 100644 results/fmri/sim/d4s/N0400_T0010/no_noise/LEOO/VWP_kernel_variance_kernel_params.csv rename results/fmri/sim/d4s/N0400_T0010/{ => no_noise/LEOO}/imputation_benchmark/LEOO_no_noise_boxcar_likelihoods_cod.csv (100%) rename results/fmri/sim/d4s/N0400_T0010/{ => no_noise/LEOO}/imputation_benchmark/LEOO_no_noise_boxcar_likelihoods_pvals.csv (100%) rename results/fmri/sim/d4s/N0400_T0010/{ => no_noise/LEOO}/imputation_benchmark/LEOO_no_noise_checkerboard_likelihoods_cod.csv (100%) rename results/fmri/sim/d4s/N0400_T0010/{ => no_noise/LEOO}/imputation_benchmark/LEOO_no_noise_checkerboard_likelihoods_pvals.csv (100%) rename results/fmri/sim/d4s/N0400_T0010/{ => no_noise/LEOO}/imputation_benchmark/LEOO_no_noise_constant_likelihoods_cod.csv (100%) rename results/fmri/sim/d4s/N0400_T0010/{ => no_noise/LEOO}/imputation_benchmark/LEOO_no_noise_constant_likelihoods_pvals.csv (100%) rename results/fmri/sim/d4s/N0400_T0010/{ => no_noise/LEOO}/imputation_benchmark/LEOO_no_noise_likelihoods_DCC_bivariate_loop.csv (100%) rename results/fmri/sim/d4s/N0400_T0010/{ => no_noise/LEOO}/imputation_benchmark/LEOO_no_noise_likelihoods_DCC_joint.csv (100%) rename results/fmri/sim/d4s/N0400_T0010/{ => no_noise/LEOO}/imputation_benchmark/LEOO_no_noise_likelihoods_SVWP_joint.csv (100%) rename results/fmri/sim/d4s/N0400_T0010/{ => no_noise/LEOO}/imputation_benchmark/LEOO_no_noise_likelihoods_SW_30.csv (100%) rename results/fmri/sim/d4s/N0400_T0010/{ => no_noise/LEOO}/imputation_benchmark/LEOO_no_noise_likelihoods_SW_60.csv (100%) rename results/fmri/sim/d4s/N0400_T0010/{ => no_noise/LEOO}/imputation_benchmark/LEOO_no_noise_likelihoods_SW_cross_validated.csv (100%) rename results/fmri/sim/d4s/N0400_T0010/{ => no_noise/LEOO}/imputation_benchmark/LEOO_no_noise_likelihoods_cod.csv (100%) rename results/fmri/sim/d4s/N0400_T0010/{ => no_noise/LEOO}/imputation_benchmark/LEOO_no_noise_likelihoods_pvals.csv (100%) rename results/fmri/sim/d4s/N0400_T0010/{ => no_noise/LEOO}/imputation_benchmark/LEOO_no_noise_likelihoods_sFC.csv (100%) rename results/fmri/sim/d4s/N0400_T0010/{ => no_noise/LEOO}/imputation_benchmark/LEOO_no_noise_null_likelihoods_cod.csv (100%) rename results/fmri/sim/d4s/N0400_T0010/{ => no_noise/LEOO}/imputation_benchmark/LEOO_no_noise_null_likelihoods_pvals.csv (100%) rename results/fmri/sim/d4s/N0400_T0010/{ => no_noise/LEOO}/imputation_benchmark/LEOO_no_noise_periodic_1_likelihoods_cod.csv (100%) rename results/fmri/sim/d4s/N0400_T0010/{ => no_noise/LEOO}/imputation_benchmark/LEOO_no_noise_periodic_1_likelihoods_pvals.csv (100%) rename results/fmri/sim/d4s/N0400_T0010/{ => no_noise/LEOO}/imputation_benchmark/LEOO_no_noise_periodic_3_likelihoods_cod.csv (100%) rename results/fmri/sim/d4s/N0400_T0010/{ => no_noise/LEOO}/imputation_benchmark/LEOO_no_noise_periodic_3_likelihoods_pvals.csv (100%) rename results/fmri/sim/d4s/N0400_T0010/{ => no_noise/LEOO}/imputation_benchmark/LEOO_no_noise_state_transition_likelihoods_cod.csv (100%) rename results/fmri/sim/d4s/N0400_T0010/{ => no_noise/LEOO}/imputation_benchmark/LEOO_no_noise_state_transition_likelihoods_pvals.csv (100%) rename results/fmri/sim/d4s/N0400_T0010/{ => no_noise/LEOO}/imputation_benchmark/LEOO_no_noise_stepwise_likelihoods_cod.csv (100%) rename results/fmri/sim/d4s/N0400_T0010/{ => no_noise/LEOO}/imputation_benchmark/LEOO_no_noise_stepwise_likelihoods_pvals.csv (100%) rename results/fmri/sim/d50s/N0400_T0010/{ => HCP_noise_snr_1/LEOO}/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_SW_cross_validated.csv (100%) rename results/fmri/sim/d50s/N0400_T0010/{ => HCP_noise_snr_1/LEOO}/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_sFC.csv (100%) rename results/fmri/sim/d50s/N0400_T0010/{ => HCP_noise_snr_2/LEOO}/imputation_benchmark/LEOO_HCP_noise_snr_2_likelihoods_SW_cross_validated.csv (100%) rename results/fmri/sim/d50s/N0400_T0010/{ => HCP_noise_snr_2/LEOO}/imputation_benchmark/LEOO_HCP_noise_snr_2_likelihoods_sFC.csv (100%) rename results/fmri/sim/d50s/N0400_T0010/{ => HCP_noise_snr_6/LEOO}/imputation_benchmark/LEOO_HCP_noise_snr_6_likelihoods_SW_cross_validated.csv (100%) rename results/fmri/sim/d50s/N0400_T0010/{ => HCP_noise_snr_6/LEOO}/imputation_benchmark/LEOO_HCP_noise_snr_6_likelihoods_sFC.csv (100%) rename results/fmri/sim/d50s/N0400_T0010/{ => no_noise/LEOO}/imputation_benchmark/LEOO_no_noise_likelihoods_SW_cross_validated.csv (100%) rename results/fmri/sim/d50s/N0400_T0010/{ => no_noise/LEOO}/imputation_benchmark/LEOO_no_noise_likelihoods_sFC.csv (100%) rename results/fmri/sim/d6s/N0400_T0010/{ => HCP_noise_snr_1/LEOO}/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_sFC.csv (100%) rename results/fmri/sim/d6s/N0400_T0010/{ => HCP_noise_snr_2/LEOO}/imputation_benchmark/LEOO_HCP_noise_snr_2_likelihoods_sFC.csv (100%) delete mode 100644 results/fmri/sim/d6s/N0400_T0010/HCP_noise_snr_2/all/test_log_likelihood_mean.csv delete mode 100644 results/fmri/sim/d6s/N0400_T0010/HCP_noise_snr_2/all/test_log_likelihood_se.csv delete mode 100644 results/fmri/sim/d6s/N0400_T0010/HCP_noise_snr_2/all/test_log_likelihood_std.csv rename results/fmri/sim/d6s/N0400_T0010/{ => HCP_noise_snr_6/LEOO}/imputation_benchmark/LEOO_HCP_noise_snr_6_likelihoods_sFC.csv (100%) delete mode 100644 results/fmri/sim/d6s/N0400_T0010/HCP_noise_snr_6/all/test_log_likelihood_mean.csv delete mode 100644 results/fmri/sim/d6s/N0400_T0010/HCP_noise_snr_6/all/test_log_likelihood_se.csv delete mode 100644 results/fmri/sim/d6s/N0400_T0010/HCP_noise_snr_6/all/test_log_likelihood_std.csv rename results/fmri/sim/d6s/N0400_T0010/{ => no_noise/LEOO}/imputation_benchmark/LEOO_no_noise_likelihoods_sFC.csv (100%) rename results/fmri/sim/d9s/N0400_T0010/{ => HCP_noise_snr_1/LEOO}/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_SW_30.csv (100%) rename results/fmri/sim/d9s/N0400_T0010/{ => HCP_noise_snr_1/LEOO}/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_SW_60.csv (100%) rename results/fmri/sim/d9s/N0400_T0010/{ => HCP_noise_snr_1/LEOO}/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_sFC.csv (100%) rename results/fmri/sim/d9s/N0400_T0010/{ => HCP_noise_snr_2/LEOO}/imputation_benchmark/LEOO_HCP_noise_snr_2_likelihoods_SW_30.csv (100%) rename results/fmri/sim/d9s/N0400_T0010/{ => HCP_noise_snr_2/LEOO}/imputation_benchmark/LEOO_HCP_noise_snr_2_likelihoods_SW_60.csv (100%) rename results/fmri/sim/d9s/N0400_T0010/{ => HCP_noise_snr_2/LEOO}/imputation_benchmark/LEOO_HCP_noise_snr_2_likelihoods_sFC.csv (100%) rename results/fmri/sim/d9s/N0400_T0010/{ => HCP_noise_snr_6/LEOO}/imputation_benchmark/LEOO_HCP_noise_snr_6_likelihoods_SW_30.csv (100%) rename results/fmri/sim/d9s/N0400_T0010/{ => HCP_noise_snr_6/LEOO}/imputation_benchmark/LEOO_HCP_noise_snr_6_likelihoods_SW_60.csv (100%) rename results/fmri/sim/d9s/N0400_T0010/{ => HCP_noise_snr_6/LEOO}/imputation_benchmark/LEOO_HCP_noise_snr_6_likelihoods_sFC.csv (100%) rename results/fmri/sim/d9s/N0400_T0010/{ => no_noise/LEOO}/imputation_benchmark/LEOO_no_noise_likelihoods_SW_30.csv (100%) rename results/fmri/sim/d9s/N0400_T0010/{ => no_noise/LEOO}/imputation_benchmark/LEOO_no_noise_likelihoods_SW_60.csv (100%) rename results/fmri/sim/d9s/N0400_T0010/{ => no_noise/LEOO}/imputation_benchmark/LEOO_no_noise_likelihoods_sFC.csv (100%) diff --git a/benchmarks/fmri/sim/imputation_benchmark/compute_LEOO_likelihoods.py b/benchmarks/fmri/sim/imputation_benchmark/compute_LEOO_likelihoods.py index 2bc89e34..7680a1a2 100644 --- a/benchmarks/fmri/sim/imputation_benchmark/compute_LEOO_likelihoods.py +++ b/benchmarks/fmri/sim/imputation_benchmark/compute_LEOO_likelihoods.py @@ -77,7 +77,7 @@ # Get likelihood of observed data at test locations under predicted covariance matrices. test_log_likelihood = get_test_log_likelihood( predicted_covariance_structure=test_locations_predicted_covariance_structure, - y_test=y_test + y_test=y_test, ) test_likelihoods_df.loc[i_trial, covs_type] = test_log_likelihood @@ -86,7 +86,7 @@ likelihoods_filename = f'{data_split:s}_{noise_type:s}_likelihoods_{model_name:s}.csv' test_likelihoods_savedir = os.path.join( - cfg['git-results-basedir'], 'imputation_benchmark' + cfg['git-results-basedir'], noise_type, data_split, 'imputation_benchmark' ) if not os.path.exists(test_likelihoods_savedir): os.makedirs(test_likelihoods_savedir) diff --git a/benchmarks/fmri/sim/imputation_benchmark/plot_LEOO_likelihoods.py b/benchmarks/fmri/sim/imputation_benchmark/plot_LEOO_likelihoods.py index 947356e8..b21a78a4 100644 --- a/benchmarks/fmri/sim/imputation_benchmark/plot_LEOO_likelihoods.py +++ b/benchmarks/fmri/sim/imputation_benchmark/plot_LEOO_likelihoods.py @@ -69,7 +69,9 @@ def plot_likelihoods_raincloud( def _plot_all_covs_structures_bar( - config_dict: dict, test_likelihoods_mean_df: pd.DataFrame, test_likelihoods_sem_df: pd.DataFrame + config_dict: dict, + test_likelihoods_mean_df: pd.DataFrame, + test_likelihoods_sem_df: pd.DataFrame, ) -> None: """ Plot joint test likelihoods for all methods for all covariance structures. @@ -82,7 +84,7 @@ def _plot_all_covs_structures_bar( data_split = 'LEOO' # leave-every-other-out data_set_name = sys.argv[1] # 'd2', 'd3d', or 'd3s' - experiment_data = sys.argv[2] # e.g. 'N0200_T0003' + experiment_data = sys.argv[2] # 'Nxxxx_Txxxx' cfg = get_config_dict( data_set_name=data_set_name, @@ -90,10 +92,13 @@ def _plot_all_covs_structures_bar( hostname=socket.gethostname() ) num_trials = int(experiment_data[-4:]) - test_likelihoods_savedir = os.path.join(cfg['git-results-basedir'], 'imputation_benchmark') for noise_type in cfg['noise-types']: + test_likelihoods_savedir = os.path.join( + cfg['git-results-basedir'], noise_type, data_split, 'imputation_benchmark' + ) + all_covs_models_test_likelihoods_mean_df = pd.DataFrame( np.nan, index=cfg['plot-covs-types'], @@ -120,8 +125,8 @@ def _plot_all_covs_structures_bar( likelihoods_df = pd.read_csv( test_likelihoods_savepath, index_col=0, - ) # (n_trials, n_all_covs_types) - likelihoods_df = likelihoods_df.loc[:, cfg['plot-covs-types']] # (n_trials, n_covs_types) + ) # (num_trials, num_all_covs_types) + likelihoods_df = likelihoods_df.loc[:, cfg['plot-covs-types']] # (num_trials, num_covs_types) # Update covs types labels for plots. likelihoods_df.columns = likelihoods_df.columns.str.replace('periodic_1', 'periodic (slow)') @@ -172,12 +177,11 @@ def _plot_all_covs_structures_bar( ) for model_name in cfg['plot-models']: likelihoods_filename = f'{data_split:s}_{noise_type:s}_likelihoods_{model_name:s}.csv' - test_likelihoods_savedir = os.path.join(cfg['git-results-basedir'], 'imputation_benchmark') test_likelihoods_savepath = os.path.join(test_likelihoods_savedir, likelihoods_filename) if os.path.exists(test_likelihoods_savepath): likelihoods_df = pd.read_csv( test_likelihoods_savepath, index_col=0 - ) # (n_trials, n_train_covs_types) + ) # (num_trials, num_train_covs_types) if not likelihoods_df.shape == (num_trials, len(cfg['all-covs-types'])): logging.warning("Unexpected number of covariance structures found.") print(likelihoods_df.round(3)) diff --git a/benchmarks/fmri/sim/imputation_benchmark/run_statistical_test_between_estimation_methods.py b/benchmarks/fmri/sim/imputation_benchmark/run_statistical_test_between_estimation_methods.py index d7f7b4c8..ebfa4c51 100644 --- a/benchmarks/fmri/sim/imputation_benchmark/run_statistical_test_between_estimation_methods.py +++ b/benchmarks/fmri/sim/imputation_benchmark/run_statistical_test_between_estimation_methods.py @@ -25,10 +25,13 @@ ) models_list = cfg['plot-models'] num_trials = int(experiment_data[-4:]) - test_likelihoods_savedir = os.path.join(cfg['git-results-basedir'], 'imputation_benchmark') for noise_type in cfg['noise-types']: + test_likelihoods_savedir = os.path.join( + cfg['git-results-basedir'], noise_type, data_split, 'imputation_benchmark' + ) + for covs_type in cfg['plot-covs-types']: all_method_significances_df = pd.DataFrame( diff --git a/results/fmri/sim/d2/N0200_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_boxcar_likelihoods_cod.csv b/results/fmri/sim/d2/N0200_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_boxcar_likelihoods_cod.csv similarity index 100% rename from results/fmri/sim/d2/N0200_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_boxcar_likelihoods_cod.csv rename to results/fmri/sim/d2/N0200_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_boxcar_likelihoods_cod.csv diff --git a/results/fmri/sim/d2/N0200_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_boxcar_likelihoods_pvals.csv b/results/fmri/sim/d2/N0200_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_boxcar_likelihoods_pvals.csv similarity index 100% rename from results/fmri/sim/d2/N0200_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_boxcar_likelihoods_pvals.csv rename to results/fmri/sim/d2/N0200_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_boxcar_likelihoods_pvals.csv diff --git a/results/fmri/sim/d2/N0200_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_constant_likelihoods_cod.csv b/results/fmri/sim/d2/N0200_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_constant_likelihoods_cod.csv similarity index 100% rename from results/fmri/sim/d2/N0200_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_constant_likelihoods_cod.csv rename to results/fmri/sim/d2/N0200_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_constant_likelihoods_cod.csv diff --git a/results/fmri/sim/d2/N0200_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_constant_likelihoods_pvals.csv b/results/fmri/sim/d2/N0200_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_constant_likelihoods_pvals.csv similarity index 100% rename from results/fmri/sim/d2/N0200_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_constant_likelihoods_pvals.csv rename to results/fmri/sim/d2/N0200_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_constant_likelihoods_pvals.csv diff --git a/results/fmri/sim/d2/N0200_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_DCC_joint.csv b/results/fmri/sim/d2/N0200_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_DCC_joint.csv similarity index 100% rename from results/fmri/sim/d2/N0200_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_DCC_joint.csv rename to results/fmri/sim/d2/N0200_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_DCC_joint.csv diff --git a/results/fmri/sim/d2/N0200_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_SVWP.csv b/results/fmri/sim/d2/N0200_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_SVWP.csv similarity index 100% rename from results/fmri/sim/d2/N0200_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_SVWP.csv rename to results/fmri/sim/d2/N0200_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_SVWP.csv diff --git a/results/fmri/sim/d2/N0200_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_SW_120.csv b/results/fmri/sim/d2/N0200_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_SW_120.csv similarity index 100% rename from results/fmri/sim/d2/N0200_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_SW_120.csv rename to results/fmri/sim/d2/N0200_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_SW_120.csv diff --git a/results/fmri/sim/d2/N0200_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_SW_15.csv b/results/fmri/sim/d2/N0200_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_SW_15.csv similarity index 100% rename from results/fmri/sim/d2/N0200_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_SW_15.csv rename to results/fmri/sim/d2/N0200_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_SW_15.csv diff --git a/results/fmri/sim/d2/N0200_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_SW_30.csv b/results/fmri/sim/d2/N0200_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_SW_30.csv similarity index 100% rename from results/fmri/sim/d2/N0200_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_SW_30.csv rename to results/fmri/sim/d2/N0200_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_SW_30.csv diff --git a/results/fmri/sim/d2/N0200_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_SW_60.csv b/results/fmri/sim/d2/N0200_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_SW_60.csv similarity index 100% rename from results/fmri/sim/d2/N0200_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_SW_60.csv rename to results/fmri/sim/d2/N0200_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_SW_60.csv diff --git a/results/fmri/sim/d2/N0200_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_SW_cross_validated.csv b/results/fmri/sim/d2/N0200_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_SW_cross_validated.csv similarity index 100% rename from results/fmri/sim/d2/N0200_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_SW_cross_validated.csv rename to results/fmri/sim/d2/N0200_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_SW_cross_validated.csv diff --git a/results/fmri/sim/d2/N0200_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_VWP.csv b/results/fmri/sim/d2/N0200_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_VWP.csv similarity index 100% rename from results/fmri/sim/d2/N0200_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_VWP.csv rename to results/fmri/sim/d2/N0200_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_VWP.csv diff --git a/results/fmri/sim/d2/N0200_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_sFC.csv b/results/fmri/sim/d2/N0200_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_sFC.csv similarity index 100% rename from results/fmri/sim/d2/N0200_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_sFC.csv rename to results/fmri/sim/d2/N0200_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_sFC.csv diff --git a/results/fmri/sim/d2/N0200_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_null_likelihoods_cod.csv b/results/fmri/sim/d2/N0200_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_null_likelihoods_cod.csv similarity index 100% rename from results/fmri/sim/d2/N0200_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_null_likelihoods_cod.csv rename to results/fmri/sim/d2/N0200_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_null_likelihoods_cod.csv diff --git a/results/fmri/sim/d2/N0200_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_null_likelihoods_pvals.csv b/results/fmri/sim/d2/N0200_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_null_likelihoods_pvals.csv similarity index 100% rename from results/fmri/sim/d2/N0200_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_null_likelihoods_pvals.csv rename to results/fmri/sim/d2/N0200_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_null_likelihoods_pvals.csv diff --git a/results/fmri/sim/d2/N0200_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_periodic_1_likelihoods_cod.csv b/results/fmri/sim/d2/N0200_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_periodic_1_likelihoods_cod.csv similarity index 100% rename from results/fmri/sim/d2/N0200_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_periodic_1_likelihoods_cod.csv rename to results/fmri/sim/d2/N0200_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_periodic_1_likelihoods_cod.csv diff --git a/results/fmri/sim/d2/N0200_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_periodic_1_likelihoods_pvals.csv b/results/fmri/sim/d2/N0200_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_periodic_1_likelihoods_pvals.csv similarity index 100% rename from results/fmri/sim/d2/N0200_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_periodic_1_likelihoods_pvals.csv rename to results/fmri/sim/d2/N0200_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_periodic_1_likelihoods_pvals.csv diff --git a/results/fmri/sim/d2/N0200_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_periodic_3_likelihoods_cod.csv b/results/fmri/sim/d2/N0200_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_periodic_3_likelihoods_cod.csv similarity index 100% rename from results/fmri/sim/d2/N0200_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_periodic_3_likelihoods_cod.csv rename to results/fmri/sim/d2/N0200_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_periodic_3_likelihoods_cod.csv diff --git a/results/fmri/sim/d2/N0200_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_periodic_3_likelihoods_pvals.csv b/results/fmri/sim/d2/N0200_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_periodic_3_likelihoods_pvals.csv similarity index 100% rename from results/fmri/sim/d2/N0200_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_periodic_3_likelihoods_pvals.csv rename to results/fmri/sim/d2/N0200_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_periodic_3_likelihoods_pvals.csv diff --git a/results/fmri/sim/d2/N0200_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_state_transition_likelihoods_cod.csv b/results/fmri/sim/d2/N0200_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_state_transition_likelihoods_cod.csv similarity index 100% rename from results/fmri/sim/d2/N0200_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_state_transition_likelihoods_cod.csv rename to results/fmri/sim/d2/N0200_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_state_transition_likelihoods_cod.csv diff --git a/results/fmri/sim/d2/N0200_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_state_transition_likelihoods_pvals.csv b/results/fmri/sim/d2/N0200_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_state_transition_likelihoods_pvals.csv similarity index 100% rename from results/fmri/sim/d2/N0200_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_state_transition_likelihoods_pvals.csv rename to results/fmri/sim/d2/N0200_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_state_transition_likelihoods_pvals.csv diff --git a/results/fmri/sim/d2/N0200_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_stepwise_likelihoods_cod.csv b/results/fmri/sim/d2/N0200_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_stepwise_likelihoods_cod.csv similarity index 100% rename from results/fmri/sim/d2/N0200_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_stepwise_likelihoods_cod.csv rename to results/fmri/sim/d2/N0200_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_stepwise_likelihoods_cod.csv diff --git a/results/fmri/sim/d2/N0200_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_stepwise_likelihoods_pvals.csv b/results/fmri/sim/d2/N0200_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_stepwise_likelihoods_pvals.csv similarity index 100% rename from results/fmri/sim/d2/N0200_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_stepwise_likelihoods_pvals.csv rename to results/fmri/sim/d2/N0200_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_stepwise_likelihoods_pvals.csv diff --git a/results/fmri/sim/d2/N0200_T0010/imputation_benchmark/LEOO_HCP_noise_snr_2_boxcar_likelihoods_cod.csv b/results/fmri/sim/d2/N0200_T0010/HCP_noise_snr_2/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_2_boxcar_likelihoods_cod.csv similarity index 100% rename from results/fmri/sim/d2/N0200_T0010/imputation_benchmark/LEOO_HCP_noise_snr_2_boxcar_likelihoods_cod.csv rename to 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index 100% rename from results/fmri/sim/d2/N0400_T0200/imputation_benchmark/LEOO_HCP_noise_snr_2_boxcar_likelihoods_pvals.csv rename to results/fmri/sim/d2/N0400_T0200/HCP_noise_snr_2/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_2_boxcar_likelihoods_pvals.csv diff --git a/results/fmri/sim/d2/N0400_T0200/imputation_benchmark/LEOO_HCP_noise_snr_2_checkerboard_likelihoods_cod.csv b/results/fmri/sim/d2/N0400_T0200/HCP_noise_snr_2/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_2_checkerboard_likelihoods_cod.csv similarity index 100% rename from results/fmri/sim/d2/N0400_T0200/imputation_benchmark/LEOO_HCP_noise_snr_2_checkerboard_likelihoods_cod.csv rename to results/fmri/sim/d2/N0400_T0200/HCP_noise_snr_2/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_2_checkerboard_likelihoods_cod.csv diff --git a/results/fmri/sim/d2/N0400_T0200/imputation_benchmark/LEOO_HCP_noise_snr_2_checkerboard_likelihoods_pvals.csv 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rename to results/fmri/sim/d2/N0400_T0200/HCP_noise_snr_2/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_2_likelihoods_SW_cross_validated.csv diff --git a/results/fmri/sim/d2/N0400_T0200/imputation_benchmark/LEOO_HCP_noise_snr_2_likelihoods_sFC.csv b/results/fmri/sim/d2/N0400_T0200/HCP_noise_snr_2/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_2_likelihoods_sFC.csv similarity index 100% rename from results/fmri/sim/d2/N0400_T0200/imputation_benchmark/LEOO_HCP_noise_snr_2_likelihoods_sFC.csv rename to results/fmri/sim/d2/N0400_T0200/HCP_noise_snr_2/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_2_likelihoods_sFC.csv diff --git a/results/fmri/sim/d2/N0400_T0200/imputation_benchmark/LEOO_HCP_noise_snr_2_null_likelihoods_cod.csv b/results/fmri/sim/d2/N0400_T0200/HCP_noise_snr_2/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_2_null_likelihoods_cod.csv similarity index 100% rename from results/fmri/sim/d2/N0400_T0200/imputation_benchmark/LEOO_HCP_noise_snr_2_null_likelihoods_cod.csv rename to 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rename to results/fmri/sim/d2/N0400_T0200/HCP_noise_snr_6/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_6_likelihoods_SW_cross_validated.csv diff --git a/results/fmri/sim/d2/N0400_T0200/imputation_benchmark/LEOO_HCP_noise_snr_6_likelihoods_sFC.csv b/results/fmri/sim/d2/N0400_T0200/HCP_noise_snr_6/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_6_likelihoods_sFC.csv similarity index 100% rename from results/fmri/sim/d2/N0400_T0200/imputation_benchmark/LEOO_HCP_noise_snr_6_likelihoods_sFC.csv rename to results/fmri/sim/d2/N0400_T0200/HCP_noise_snr_6/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_6_likelihoods_sFC.csv diff --git a/results/fmri/sim/d2/N0400_T0200/imputation_benchmark/LEOO_HCP_noise_snr_6_null_likelihoods_cod.csv b/results/fmri/sim/d2/N0400_T0200/HCP_noise_snr_6/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_6_null_likelihoods_cod.csv similarity index 100% rename from results/fmri/sim/d2/N0400_T0200/imputation_benchmark/LEOO_HCP_noise_snr_6_null_likelihoods_cod.csv rename to 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results/fmri/sim/d2/N0400_T0200/no_noise/LEOO/imputation_benchmark/LEOO_no_noise_periodic_1_likelihoods_pvals.csv diff --git a/results/fmri/sim/d2/N0400_T0200/imputation_benchmark/LEOO_no_noise_periodic_3_likelihoods_cod.csv b/results/fmri/sim/d2/N0400_T0200/no_noise/LEOO/imputation_benchmark/LEOO_no_noise_periodic_3_likelihoods_cod.csv similarity index 100% rename from results/fmri/sim/d2/N0400_T0200/imputation_benchmark/LEOO_no_noise_periodic_3_likelihoods_cod.csv rename to results/fmri/sim/d2/N0400_T0200/no_noise/LEOO/imputation_benchmark/LEOO_no_noise_periodic_3_likelihoods_cod.csv diff --git a/results/fmri/sim/d2/N0400_T0200/imputation_benchmark/LEOO_no_noise_periodic_3_likelihoods_pvals.csv b/results/fmri/sim/d2/N0400_T0200/no_noise/LEOO/imputation_benchmark/LEOO_no_noise_periodic_3_likelihoods_pvals.csv similarity index 100% rename from results/fmri/sim/d2/N0400_T0200/imputation_benchmark/LEOO_no_noise_periodic_3_likelihoods_pvals.csv rename to results/fmri/sim/d2/N0400_T0200/no_noise/LEOO/imputation_benchmark/LEOO_no_noise_periodic_3_likelihoods_pvals.csv diff --git a/results/fmri/sim/d2/N0400_T0200/imputation_benchmark/LEOO_no_noise_state_transition_likelihoods_cod.csv b/results/fmri/sim/d2/N0400_T0200/no_noise/LEOO/imputation_benchmark/LEOO_no_noise_state_transition_likelihoods_cod.csv similarity index 100% rename from results/fmri/sim/d2/N0400_T0200/imputation_benchmark/LEOO_no_noise_state_transition_likelihoods_cod.csv rename to results/fmri/sim/d2/N0400_T0200/no_noise/LEOO/imputation_benchmark/LEOO_no_noise_state_transition_likelihoods_cod.csv diff --git a/results/fmri/sim/d2/N0400_T0200/imputation_benchmark/LEOO_no_noise_state_transition_likelihoods_pvals.csv b/results/fmri/sim/d2/N0400_T0200/no_noise/LEOO/imputation_benchmark/LEOO_no_noise_state_transition_likelihoods_pvals.csv similarity index 100% rename from results/fmri/sim/d2/N0400_T0200/imputation_benchmark/LEOO_no_noise_state_transition_likelihoods_pvals.csv rename to results/fmri/sim/d2/N0400_T0200/no_noise/LEOO/imputation_benchmark/LEOO_no_noise_state_transition_likelihoods_pvals.csv diff --git a/results/fmri/sim/d2/N0400_T0200/imputation_benchmark/LEOO_no_noise_stepwise_likelihoods_cod.csv b/results/fmri/sim/d2/N0400_T0200/no_noise/LEOO/imputation_benchmark/LEOO_no_noise_stepwise_likelihoods_cod.csv similarity index 100% rename from results/fmri/sim/d2/N0400_T0200/imputation_benchmark/LEOO_no_noise_stepwise_likelihoods_cod.csv rename to results/fmri/sim/d2/N0400_T0200/no_noise/LEOO/imputation_benchmark/LEOO_no_noise_stepwise_likelihoods_cod.csv diff --git a/results/fmri/sim/d2/N0400_T0200/imputation_benchmark/LEOO_no_noise_stepwise_likelihoods_pvals.csv b/results/fmri/sim/d2/N0400_T0200/no_noise/LEOO/imputation_benchmark/LEOO_no_noise_stepwise_likelihoods_pvals.csv similarity index 100% rename from results/fmri/sim/d2/N0400_T0200/imputation_benchmark/LEOO_no_noise_stepwise_likelihoods_pvals.csv rename to results/fmri/sim/d2/N0400_T0200/no_noise/LEOO/imputation_benchmark/LEOO_no_noise_stepwise_likelihoods_pvals.csv diff --git a/results/fmri/sim/d3d/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_sFC.csv b/results/fmri/sim/d3d/N0400_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_sFC.csv similarity index 100% rename from results/fmri/sim/d3d/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_sFC.csv rename to results/fmri/sim/d3d/N0400_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_sFC.csv diff --git a/results/fmri/sim/d3d/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_2_likelihoods_sFC.csv b/results/fmri/sim/d3d/N0400_T0010/HCP_noise_snr_2/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_2_likelihoods_sFC.csv similarity index 100% rename from results/fmri/sim/d3d/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_2_likelihoods_sFC.csv rename to results/fmri/sim/d3d/N0400_T0010/HCP_noise_snr_2/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_2_likelihoods_sFC.csv diff --git a/results/fmri/sim/d3d/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_6_likelihoods_sFC.csv b/results/fmri/sim/d3d/N0400_T0010/HCP_noise_snr_6/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_6_likelihoods_sFC.csv similarity index 100% rename from results/fmri/sim/d3d/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_6_likelihoods_sFC.csv rename to results/fmri/sim/d3d/N0400_T0010/HCP_noise_snr_6/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_6_likelihoods_sFC.csv diff --git a/results/fmri/sim/d3d/N0400_T0010/imputation_benchmark/LEOO_no_noise_likelihoods_sFC.csv b/results/fmri/sim/d3d/N0400_T0010/no_noise/LEOO/imputation_benchmark/LEOO_no_noise_likelihoods_sFC.csv similarity index 100% rename from results/fmri/sim/d3d/N0400_T0010/imputation_benchmark/LEOO_no_noise_likelihoods_sFC.csv rename to results/fmri/sim/d3d/N0400_T0010/no_noise/LEOO/imputation_benchmark/LEOO_no_noise_likelihoods_sFC.csv diff --git a/results/fmri/sim/d3s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_sFC.csv b/results/fmri/sim/d3s/N0400_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_sFC.csv similarity index 100% rename from results/fmri/sim/d3s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_sFC.csv rename to results/fmri/sim/d3s/N0400_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_sFC.csv diff --git a/results/fmri/sim/d3s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_2_likelihoods_sFC.csv b/results/fmri/sim/d3s/N0400_T0010/HCP_noise_snr_2/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_2_likelihoods_sFC.csv similarity index 100% rename from results/fmri/sim/d3s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_2_likelihoods_sFC.csv rename to results/fmri/sim/d3s/N0400_T0010/HCP_noise_snr_2/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_2_likelihoods_sFC.csv diff --git a/results/fmri/sim/d3s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_6_likelihoods_sFC.csv b/results/fmri/sim/d3s/N0400_T0010/HCP_noise_snr_6/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_6_likelihoods_sFC.csv similarity index 100% rename from results/fmri/sim/d3s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_6_likelihoods_sFC.csv rename to results/fmri/sim/d3s/N0400_T0010/HCP_noise_snr_6/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_6_likelihoods_sFC.csv diff --git a/results/fmri/sim/d3s/N0400_T0010/imputation_benchmark/LEOO_no_noise_likelihoods_sFC.csv b/results/fmri/sim/d3s/N0400_T0010/no_noise/LEOO/imputation_benchmark/LEOO_no_noise_likelihoods_sFC.csv similarity index 100% rename from results/fmri/sim/d3s/N0400_T0010/imputation_benchmark/LEOO_no_noise_likelihoods_sFC.csv rename to results/fmri/sim/d3s/N0400_T0010/no_noise/LEOO/imputation_benchmark/LEOO_no_noise_likelihoods_sFC.csv diff --git a/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_1/LEOO/SVWP_kernel_lengthscales_kernel_params.csv b/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_1/LEOO/SVWP_kernel_lengthscales_kernel_params.csv deleted file mode 100644 index fea56800..00000000 --- a/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_1/LEOO/SVWP_kernel_lengthscales_kernel_params.csv +++ /dev/null @@ -1,11 +0,0 @@ -,null,constant,periodic_1,periodic_2,periodic_3,periodic_4,periodic_5,checkerboard,stepwise,state_transition,change_point -0,1.439,0.317,0.781,0.489,1.035,1.436,1.436,1.312,0.908,0.534,1.368 -1,0.888,1.323,0.241,0.402,1.733,1.436,1.436,1.302,0.686,1.283,1.368 -2,0.719,1.558,1.172,0.461,0.644,1.436,1.436,1.450,1.471,1.088,1.368 -3,1.253,1.240,0.909,0.754,0.227,1.436,1.436,1.216,0.641,1.608,1.368 -4,1.387,0.192,1.023,0.487,0.318,1.436,1.436,1.485,0.624,2.078,1.368 -5,1.338,1.801,0.653,0.490,0.750,1.436,1.436,0.679,1.556,1.749,1.368 -6,0.765,0.728,0.792,0.274,0.151,1.436,1.436,0.998,0.554,1.614,1.368 -7,0.726,0.926,1.363,1.120,1.049,1.436,1.436,1.005,0.362,1.748,1.368 -8,1.191,1.793,1.274,0.431,0.291,1.436,1.436,1.005,1.172,0.548,1.368 -9,0.680,1.482,0.474,0.482,1.436,1.436,1.436,1.005,1.297,1.368,1.368 diff --git a/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_1/LEOO/SVWP_kernel_variance_kernel_params.csv b/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_1/LEOO/SVWP_kernel_variance_kernel_params.csv deleted file mode 100644 index 47cd768f..00000000 --- a/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_1/LEOO/SVWP_kernel_variance_kernel_params.csv +++ /dev/null @@ -1,11 +0,0 @@ -,null,constant,periodic_1,periodic_2,periodic_3,periodic_4,periodic_5,checkerboard,stepwise,state_transition,change_point -0,0.877,0.921,0.903,1.101,0.769,0.936,0.936,0.798,0.843,0.770,0.840 -1,0.810,0.837,0.742,0.893,0.849,0.936,0.936,0.789,0.875,0.890,0.840 -2,0.879,0.872,0.885,0.907,0.854,0.936,0.936,0.818,0.875,0.860,0.840 -3,0.845,0.830,0.852,0.892,0.978,0.936,0.936,0.862,0.842,0.814,0.840 -4,0.853,0.685,0.958,1.267,0.874,0.936,0.936,0.819,0.902,0.883,0.840 -5,0.812,0.937,0.995,0.880,0.867,0.936,0.936,0.857,0.934,0.830,0.840 -6,0.834,0.898,0.930,0.871,0.816,0.936,0.936,0.941,0.926,0.813,0.840 -7,0.972,0.885,0.788,0.847,0.940,0.936,0.936,0.897,0.957,0.841,0.840 -8,0.804,0.767,0.860,0.986,1.290,0.936,0.936,0.897,0.868,0.938,0.840 -9,0.832,0.832,0.934,1.117,0.936,0.936,0.936,0.897,0.941,0.840,0.840 diff --git a/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_1/LEOO/VWP_kernel_lengthscales_kernel_params.csv b/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_1/LEOO/VWP_kernel_lengthscales_kernel_params.csv deleted file mode 100644 index e2acc48a..00000000 --- a/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_1/LEOO/VWP_kernel_lengthscales_kernel_params.csv +++ /dev/null @@ -1,11 +0,0 @@ -,null,constant,periodic_1,periodic_2,periodic_3,periodic_4,periodic_5,checkerboard,stepwise,state_transition,change_point -0,1.329,0.378,0.660,0.379,1.325,1.294,1.294,0.843,0.854,0.570,0.570 -1,0.968,1.421,0.120,0.368,0.534,1.294,1.294,1.146,0.427,0.570,0.570 -2,0.664,1.600,1.161,0.601,0.700,1.294,1.294,1.605,1.379,0.570,0.570 -3,1.518,1.298,1.178,0.353,0.264,1.294,1.294,1.052,0.737,0.570,0.570 -4,1.297,0.327,1.187,0.275,0.397,1.294,1.294,0.986,0.647,0.570,0.570 -5,0.876,1.709,0.645,0.360,0.394,1.294,1.294,0.841,1.477,0.570,0.570 -6,0.817,0.776,0.743,0.355,0.131,1.294,1.294,1.070,0.428,0.570,0.570 -7,0.734,0.749,1.425,1.129,0.837,1.294,1.294,0.828,1.001,0.570,0.570 -8,1.695,1.478,1.257,0.361,0.227,1.294,1.294,1.356,1.147,0.570,0.570 -9,0.863,1.603,0.549,0.376,1.294,1.294,1.294,1.053,0.957,0.570,0.570 diff --git a/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_1/LEOO/VWP_kernel_variance_kernel_params.csv b/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_1/LEOO/VWP_kernel_variance_kernel_params.csv deleted file mode 100644 index fbe88bf5..00000000 --- a/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_1/LEOO/VWP_kernel_variance_kernel_params.csv +++ /dev/null @@ -1,11 +0,0 @@ -,null,constant,periodic_1,periodic_2,periodic_3,periodic_4,periodic_5,checkerboard,stepwise,state_transition,change_point -0,0.880,1.023,0.895,0.941,0.819,0.897,0.897,0.793,0.830,0.826,0.826 -1,0.789,0.848,0.721,0.871,1.371,0.897,0.897,0.770,0.846,0.826,0.826 -2,0.870,0.847,0.883,0.950,0.983,0.897,0.897,0.859,0.815,0.826,0.826 -3,0.853,0.835,0.903,0.770,1.062,0.897,0.897,0.840,0.923,0.826,0.826 -4,0.852,1.063,0.913,0.782,0.968,0.897,0.897,0.743,1.006,0.826,0.826 -5,0.911,0.892,1.006,0.864,1.030,0.897,0.897,0.913,0.890,0.826,0.826 -6,0.873,0.907,0.875,0.912,0.731,0.897,0.897,0.952,0.895,0.826,0.826 -7,1.006,0.812,0.830,0.860,0.837,0.897,0.897,0.856,0.886,0.826,0.826 -8,0.852,0.828,0.840,1.213,1.007,0.897,0.897,0.832,0.868,0.826,0.826 -9,0.889,0.839,0.918,0.905,0.897,0.897,0.897,0.952,0.914,0.826,0.826 diff --git a/results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_boxcar_likelihoods_cod.csv b/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_boxcar_likelihoods_cod.csv similarity index 100% rename from results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_boxcar_likelihoods_cod.csv rename to results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_boxcar_likelihoods_cod.csv diff --git a/results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_boxcar_likelihoods_pvals.csv b/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_boxcar_likelihoods_pvals.csv similarity index 100% rename from results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_boxcar_likelihoods_pvals.csv rename to results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_boxcar_likelihoods_pvals.csv diff --git a/results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_constant_likelihoods_cod.csv b/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_constant_likelihoods_cod.csv similarity index 100% rename from results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_constant_likelihoods_cod.csv rename to results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_constant_likelihoods_cod.csv diff --git a/results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_constant_likelihoods_pvals.csv b/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_constant_likelihoods_pvals.csv similarity index 100% rename from results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_constant_likelihoods_pvals.csv rename to results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_constant_likelihoods_pvals.csv diff --git a/results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_DCC_bivariate_loop.csv b/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_DCC_bivariate_loop.csv similarity index 100% rename from results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_DCC_bivariate_loop.csv rename to results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_DCC_bivariate_loop.csv diff --git a/results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_DCC_joint.csv b/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_DCC_joint.csv similarity index 100% rename from results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_DCC_joint.csv rename to results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_DCC_joint.csv diff --git a/results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_SVWP_joint.csv b/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_SVWP_joint.csv similarity index 100% rename from results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_SVWP_joint.csv rename to results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_SVWP_joint.csv diff --git a/results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_SW_30.csv b/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_SW_30.csv similarity index 100% rename from results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_SW_30.csv rename to results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_SW_30.csv diff --git a/results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_SW_60.csv b/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_SW_60.csv similarity index 100% rename from results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_SW_60.csv rename to results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_SW_60.csv diff --git a/results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_SW_cross_validated.csv b/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_SW_cross_validated.csv similarity index 100% rename from results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_SW_cross_validated.csv rename to results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_SW_cross_validated.csv diff --git a/results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_sFC.csv b/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_sFC.csv similarity index 100% rename from results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_sFC.csv rename to results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_sFC.csv diff --git a/results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_null_likelihoods_cod.csv b/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_null_likelihoods_cod.csv similarity index 100% rename from results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_null_likelihoods_cod.csv rename to results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_null_likelihoods_cod.csv diff --git a/results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_null_likelihoods_pvals.csv b/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_null_likelihoods_pvals.csv similarity index 100% rename from results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_null_likelihoods_pvals.csv rename to results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_null_likelihoods_pvals.csv diff --git a/results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_periodic_1_likelihoods_cod.csv b/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_periodic_1_likelihoods_cod.csv similarity index 100% rename from results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_periodic_1_likelihoods_cod.csv rename to results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_periodic_1_likelihoods_cod.csv diff --git a/results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_periodic_1_likelihoods_pvals.csv b/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_periodic_1_likelihoods_pvals.csv similarity index 100% rename from results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_periodic_1_likelihoods_pvals.csv rename to results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_periodic_1_likelihoods_pvals.csv diff --git a/results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_periodic_3_likelihoods_cod.csv b/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_periodic_3_likelihoods_cod.csv similarity index 100% rename from results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_periodic_3_likelihoods_cod.csv rename to results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_periodic_3_likelihoods_cod.csv diff --git a/results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_periodic_3_likelihoods_pvals.csv b/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_periodic_3_likelihoods_pvals.csv similarity index 100% rename from results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_periodic_3_likelihoods_pvals.csv rename to results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_periodic_3_likelihoods_pvals.csv diff --git a/results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_state_transition_likelihoods_cod.csv b/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_state_transition_likelihoods_cod.csv similarity index 100% rename from results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_state_transition_likelihoods_cod.csv rename to results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_state_transition_likelihoods_cod.csv diff --git a/results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_state_transition_likelihoods_pvals.csv b/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_state_transition_likelihoods_pvals.csv similarity index 100% rename from results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_state_transition_likelihoods_pvals.csv rename to results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_state_transition_likelihoods_pvals.csv diff --git a/results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_stepwise_likelihoods_cod.csv b/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_stepwise_likelihoods_cod.csv similarity index 100% rename from results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_stepwise_likelihoods_cod.csv rename to results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_stepwise_likelihoods_cod.csv diff --git a/results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_stepwise_likelihoods_pvals.csv b/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_stepwise_likelihoods_pvals.csv similarity index 100% rename from results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_stepwise_likelihoods_pvals.csv rename to results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_stepwise_likelihoods_pvals.csv diff --git a/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_2/LEOO/SVWP_kernel_lengthscales_kernel_params.csv b/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_2/LEOO/SVWP_kernel_lengthscales_kernel_params.csv deleted file mode 100644 index 1714b299..00000000 --- a/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_2/LEOO/SVWP_kernel_lengthscales_kernel_params.csv +++ /dev/null @@ -1,11 +0,0 @@ -,null,constant,periodic_1,periodic_2,periodic_3,periodic_4,periodic_5,checkerboard,stepwise,state_transition,change_point -0,1.673,2.050,0.801,0.354,0.279,0.403,0.403,1.746,0.601,1.740,1.844 -1,1.281,1.967,0.490,0.450,0.349,0.403,0.403,0.971,1.231,0.635,1.844 -2,1.403,2.198,0.668,0.461,1.461,0.403,0.403,1.791,0.535,1.681,1.844 -3,1.251,2.134,0.808,0.562,1.490,0.403,0.403,1.705,1.094,1.962,1.844 -4,1.920,2.343,0.756,0.436,1.327,0.403,0.403,1.316,0.810,2.015,1.844 -5,1.322,2.356,0.806,0.300,0.329,0.403,0.403,1.878,0.759,1.484,1.844 -6,1.524,2.161,0.484,0.487,0.329,0.403,0.403,1.712,0.832,1.333,1.844 -7,1.781,2.413,0.557,0.386,0.330,0.403,0.403,1.094,0.704,1.779,1.844 -8,1.556,2.138,0.574,0.513,1.586,0.403,0.403,1.763,0.711,1.318,1.844 -9,1.228,1.326,0.674,0.394,0.403,0.403,0.403,1.502,1.154,1.844,1.844 diff --git a/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_2/LEOO/SVWP_kernel_variance_kernel_params.csv b/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_2/LEOO/SVWP_kernel_variance_kernel_params.csv deleted file mode 100644 index 6cadeca5..00000000 --- a/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_2/LEOO/SVWP_kernel_variance_kernel_params.csv +++ /dev/null @@ -1,11 +0,0 @@ -,null,constant,periodic_1,periodic_2,periodic_3,periodic_4,periodic_5,checkerboard,stepwise,state_transition,change_point -0,0.852,0.800,1.195,1.211,1.374,2.196,2.196,0.826,1.028,0.845,0.840 -1,0.876,0.847,1.149,1.514,1.385,2.196,2.196,0.873,0.972,0.958,0.840 -2,0.761,0.826,1.259,0.989,0.899,2.196,2.196,0.792,0.838,0.834,0.840 -3,0.864,0.826,1.098,1.481,0.828,2.196,2.196,0.836,0.997,0.829,0.840 -4,0.832,0.821,0.841,1.301,0.828,2.196,2.196,0.790,0.899,0.844,0.840 -5,0.866,0.777,1.118,0.935,1.260,2.196,2.196,0.848,1.024,0.871,0.840 -6,0.840,0.869,0.849,1.645,1.656,2.196,2.196,0.809,0.895,0.920,0.840 -7,0.813,0.792,0.910,1.173,1.577,2.196,2.196,0.964,1.060,0.853,0.840 -8,0.860,0.838,1.113,1.560,0.847,2.196,2.196,0.783,1.184,0.813,0.840 -9,0.887,0.821,1.194,1.239,2.196,2.196,2.196,0.764,0.937,0.840,0.840 diff --git a/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_2/LEOO/VWP_kernel_lengthscales_kernel_params.csv b/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_2/LEOO/VWP_kernel_lengthscales_kernel_params.csv deleted file mode 100644 index 7f888237..00000000 --- a/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_2/LEOO/VWP_kernel_lengthscales_kernel_params.csv +++ /dev/null @@ -1,11 +0,0 @@ -,null,constant,periodic_1,periodic_2,periodic_3,periodic_4,periodic_5,checkerboard,stepwise,state_transition,change_point -0,1.521,2.057,0.500,0.377,0.255,0.395,0.395,1.693,0.544,1.601,1.947 -1,1.020,2.198,0.564,0.231,0.250,0.395,0.395,0.933,1.250,0.639,1.947 -2,1.535,1.826,0.591,0.514,0.398,0.395,0.395,0.556,0.373,1.547,1.947 -3,1.265,2.035,0.845,0.585,0.432,0.395,0.395,1.458,0.927,1.961,1.947 -4,1.738,1.382,0.833,0.459,1.250,0.395,0.395,1.485,0.523,1.898,1.947 -5,1.033,2.047,0.917,0.345,0.377,0.395,0.395,1.918,0.692,0.649,1.947 -6,1.777,2.269,0.734,0.457,0.341,0.395,0.395,1.603,0.667,1.426,1.947 -7,1.724,2.053,0.535,0.306,1.739,0.395,0.395,0.898,0.934,1.754,1.947 -8,1.431,2.304,0.647,0.475,0.360,0.395,0.395,0.999,0.933,1.185,1.947 -9,1.298,1.506,0.608,0.312,0.395,0.395,0.395,1.577,1.089,1.947,1.947 diff --git a/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_2/LEOO/VWP_kernel_variance_kernel_params.csv b/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_2/LEOO/VWP_kernel_variance_kernel_params.csv deleted file mode 100644 index 7812206c..00000000 --- a/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_2/LEOO/VWP_kernel_variance_kernel_params.csv +++ /dev/null @@ -1,11 +0,0 @@ -,null,constant,periodic_1,periodic_2,periodic_3,periodic_4,periodic_5,checkerboard,stepwise,state_transition,change_point -0,0.861,0.826,0.987,1.133,1.132,1.898,1.898,0.794,1.026,0.826,0.870 -1,0.834,0.875,1.071,0.823,0.895,1.898,1.898,0.840,0.975,0.932,0.870 -2,0.822,0.809,1.112,1.365,1.576,1.898,1.898,0.993,0.923,0.837,0.870 -3,0.877,0.835,1.197,1.348,1.391,1.898,1.898,0.841,1.002,0.832,0.870 -4,0.833,0.736,0.971,1.199,0.835,1.898,1.898,0.844,0.904,0.852,0.870 -5,0.823,0.815,1.214,1.308,1.470,1.898,1.898,0.832,0.952,1.083,0.870 -6,0.839,0.857,1.051,1.274,1.469,1.898,1.898,0.816,0.941,0.892,0.870 -7,0.838,0.770,1.006,0.885,0.857,1.898,1.898,0.852,1.018,0.827,0.870 -8,0.866,0.883,0.937,1.430,1.714,1.898,1.898,0.750,0.983,0.784,0.870 -9,0.901,0.872,1.116,1.016,1.898,1.898,1.898,0.800,0.906,0.870,0.870 diff --git a/results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_2_boxcar_likelihoods_cod.csv b/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_2/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_2_boxcar_likelihoods_cod.csv similarity index 100% rename from results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_2_boxcar_likelihoods_cod.csv rename to results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_2/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_2_boxcar_likelihoods_cod.csv diff --git a/results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_2_boxcar_likelihoods_pvals.csv b/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_2/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_2_boxcar_likelihoods_pvals.csv similarity index 100% rename from results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_2_boxcar_likelihoods_pvals.csv rename to results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_2/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_2_boxcar_likelihoods_pvals.csv diff --git a/results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_2_constant_likelihoods_cod.csv b/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_2/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_2_constant_likelihoods_cod.csv similarity index 100% rename from results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_2_constant_likelihoods_cod.csv rename to results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_2/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_2_constant_likelihoods_cod.csv diff --git a/results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_2_constant_likelihoods_pvals.csv b/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_2/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_2_constant_likelihoods_pvals.csv similarity index 100% rename from results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_2_constant_likelihoods_pvals.csv rename to results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_2/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_2_constant_likelihoods_pvals.csv diff --git a/results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_2_likelihoods_DCC_bivariate_loop.csv b/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_2/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_2_likelihoods_DCC_bivariate_loop.csv similarity index 100% rename from results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_2_likelihoods_DCC_bivariate_loop.csv rename to results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_2/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_2_likelihoods_DCC_bivariate_loop.csv diff --git a/results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_2_likelihoods_DCC_joint.csv b/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_2/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_2_likelihoods_DCC_joint.csv similarity index 100% rename from results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_2_likelihoods_DCC_joint.csv rename to results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_2/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_2_likelihoods_DCC_joint.csv diff --git a/results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_2_likelihoods_SVWP_joint.csv b/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_2/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_2_likelihoods_SVWP_joint.csv similarity index 100% rename from results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_2_likelihoods_SVWP_joint.csv rename to results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_2/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_2_likelihoods_SVWP_joint.csv diff --git a/results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_2_likelihoods_SW_30.csv b/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_2/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_2_likelihoods_SW_30.csv similarity index 100% rename from results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_2_likelihoods_SW_30.csv rename to results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_2/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_2_likelihoods_SW_30.csv diff --git a/results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_2_likelihoods_SW_60.csv b/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_2/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_2_likelihoods_SW_60.csv similarity index 100% rename from results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_2_likelihoods_SW_60.csv rename to results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_2/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_2_likelihoods_SW_60.csv diff --git a/results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_2_likelihoods_SW_cross_validated.csv b/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_2/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_2_likelihoods_SW_cross_validated.csv similarity index 100% rename from results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_2_likelihoods_SW_cross_validated.csv rename to results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_2/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_2_likelihoods_SW_cross_validated.csv diff --git a/results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_2_likelihoods_sFC.csv b/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_2/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_2_likelihoods_sFC.csv similarity index 100% rename from results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_2_likelihoods_sFC.csv rename to results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_2/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_2_likelihoods_sFC.csv diff --git a/results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_2_null_likelihoods_cod.csv b/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_2/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_2_null_likelihoods_cod.csv similarity index 100% rename from results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_2_null_likelihoods_cod.csv rename to results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_2/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_2_null_likelihoods_cod.csv diff --git a/results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_2_null_likelihoods_pvals.csv b/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_2/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_2_null_likelihoods_pvals.csv similarity index 100% rename from results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_2_null_likelihoods_pvals.csv rename to results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_2/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_2_null_likelihoods_pvals.csv diff --git a/results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_2_periodic_1_likelihoods_cod.csv b/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_2/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_2_periodic_1_likelihoods_cod.csv similarity index 100% rename from results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_2_periodic_1_likelihoods_cod.csv rename to results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_2/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_2_periodic_1_likelihoods_cod.csv diff --git a/results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_2_periodic_1_likelihoods_pvals.csv b/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_2/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_2_periodic_1_likelihoods_pvals.csv similarity index 100% rename from results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_2_periodic_1_likelihoods_pvals.csv rename to results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_2/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_2_periodic_1_likelihoods_pvals.csv diff --git a/results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_2_periodic_3_likelihoods_cod.csv b/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_2/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_2_periodic_3_likelihoods_cod.csv similarity index 100% rename from results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_2_periodic_3_likelihoods_cod.csv rename to results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_2/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_2_periodic_3_likelihoods_cod.csv diff --git a/results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_2_periodic_3_likelihoods_pvals.csv b/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_2/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_2_periodic_3_likelihoods_pvals.csv similarity index 100% rename from results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_2_periodic_3_likelihoods_pvals.csv rename to results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_2/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_2_periodic_3_likelihoods_pvals.csv diff --git a/results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_2_state_transition_likelihoods_cod.csv b/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_2/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_2_state_transition_likelihoods_cod.csv similarity index 100% rename from results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_2_state_transition_likelihoods_cod.csv rename to results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_2/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_2_state_transition_likelihoods_cod.csv diff --git a/results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_2_state_transition_likelihoods_pvals.csv b/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_2/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_2_state_transition_likelihoods_pvals.csv similarity index 100% rename from results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_2_state_transition_likelihoods_pvals.csv rename to results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_2/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_2_state_transition_likelihoods_pvals.csv diff --git a/results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_2_stepwise_likelihoods_cod.csv b/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_2/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_2_stepwise_likelihoods_cod.csv similarity index 100% rename from results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_2_stepwise_likelihoods_cod.csv rename to results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_2/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_2_stepwise_likelihoods_cod.csv diff --git a/results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_2_stepwise_likelihoods_pvals.csv b/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_2/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_2_stepwise_likelihoods_pvals.csv similarity index 100% rename from results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_2_stepwise_likelihoods_pvals.csv rename to results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_2/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_2_stepwise_likelihoods_pvals.csv diff --git a/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_6/LEOO/SVWP_kernel_lengthscales_kernel_params.csv b/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_6/LEOO/SVWP_kernel_lengthscales_kernel_params.csv deleted file mode 100644 index 4c000a40..00000000 --- a/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_6/LEOO/SVWP_kernel_lengthscales_kernel_params.csv +++ /dev/null @@ -1,11 +0,0 @@ -,null,constant,periodic_1,periodic_2,periodic_3,periodic_4,periodic_5,checkerboard,stepwise,state_transition,change_point -0,1.743,2.347,0.718,0.450,0.341,0.328,0.328,1.087,0.665,1.853,2.260 -1,1.292,2.255,0.504,0.351,0.238,0.328,0.328,1.591,0.860,0.965,2.260 -2,1.940,2.284,0.559,0.453,0.345,0.328,0.328,1.661,0.932,2.071,2.260 -3,1.903,2.472,0.691,0.420,0.253,0.328,0.328,0.484,0.658,2.051,2.260 -4,1.519,1.652,0.464,0.441,0.363,0.328,0.328,1.310,0.817,2.160,2.260 -5,1.692,2.381,0.684,0.301,0.319,0.328,0.328,1.100,0.386,1.384,2.260 -6,1.821,2.337,0.709,0.413,0.302,0.328,0.328,1.790,0.616,0.739,2.260 -7,2.020,2.219,0.654,0.353,0.334,0.328,0.328,1.253,0.576,1.963,2.260 -8,1.540,1.781,0.605,0.365,0.284,0.328,0.328,1.493,0.375,1.990,2.260 -9,1.467,2.467,0.582,0.402,0.328,0.328,0.328,1.362,0.422,2.260,2.260 diff --git a/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_6/LEOO/SVWP_kernel_variance_kernel_params.csv b/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_6/LEOO/SVWP_kernel_variance_kernel_params.csv deleted file mode 100644 index 216ac516..00000000 --- a/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_6/LEOO/SVWP_kernel_variance_kernel_params.csv +++ /dev/null @@ -1,11 +0,0 @@ -,null,constant,periodic_1,periodic_2,periodic_3,periodic_4,periodic_5,checkerboard,stepwise,state_transition,change_point -0,0.861,0.876,1.040,1.326,1.874,1.783,1.783,0.966,1.045,0.836,0.839 -1,0.836,0.868,0.948,1.142,1.364,1.783,1.783,0.780,0.968,0.830,0.839 -2,0.863,0.824,1.063,1.480,2.116,1.783,1.783,0.831,1.000,0.809,0.839 -3,0.840,0.791,1.459,1.159,1.563,1.783,1.783,1.217,0.982,0.831,0.839 -4,0.852,0.883,0.962,1.423,2.029,1.783,1.783,0.886,0.881,0.839,0.839 -5,0.873,0.822,1.172,1.093,1.939,1.783,1.783,0.891,0.938,0.803,0.839 -6,0.830,0.790,1.105,1.486,1.762,1.783,1.783,0.812,0.954,0.919,0.839 -7,0.826,0.795,1.144,1.243,1.900,1.783,1.783,0.782,0.902,0.849,0.839 -8,0.811,0.852,1.218,1.405,1.548,1.783,1.783,0.786,0.818,0.839,0.839 -9,0.828,0.834,1.305,1.553,1.783,1.783,1.783,0.937,0.965,0.839,0.839 diff --git a/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_6/LEOO/VWP_kernel_lengthscales_kernel_params.csv b/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_6/LEOO/VWP_kernel_lengthscales_kernel_params.csv deleted file mode 100644 index c3cd0711..00000000 --- a/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_6/LEOO/VWP_kernel_lengthscales_kernel_params.csv +++ /dev/null @@ -1,11 +0,0 @@ -,null,constant,periodic_1,periodic_2,periodic_3,periodic_4,periodic_5,checkerboard,stepwise,state_transition,change_point -0,1.551,2.254,0.463,0.409,0.259,0.256,0.256,1.067,0.658,2.012,2.140 -1,1.164,2.174,0.629,0.334,0.243,0.256,0.256,1.626,0.863,1.126,2.140 -2,1.717,2.270,0.584,0.407,0.270,0.256,0.256,1.356,0.914,1.872,2.140 -3,1.571,2.607,0.627,0.361,0.191,0.256,0.256,1.593,1.061,1.673,2.140 -4,1.503,1.835,0.535,0.398,0.231,0.256,0.256,0.268,0.449,2.038,2.140 -5,1.464,2.302,0.658,0.387,0.231,0.256,0.256,0.252,0.462,1.619,2.140 -6,1.591,2.320,0.683,0.273,0.235,0.256,0.256,1.171,0.632,1.087,2.140 -7,1.657,2.188,0.807,0.458,0.381,0.256,0.256,1.649,0.537,1.536,2.140 -8,1.091,2.049,0.568,0.342,0.302,0.256,0.256,0.991,0.476,1.861,2.140 -9,1.383,2.041,0.729,0.306,0.256,0.256,0.256,0.805,0.348,2.140,2.140 diff --git a/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_6/LEOO/VWP_kernel_variance_kernel_params.csv b/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_6/LEOO/VWP_kernel_variance_kernel_params.csv deleted file mode 100644 index 834e7908..00000000 --- a/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_6/LEOO/VWP_kernel_variance_kernel_params.csv +++ /dev/null @@ -1,11 +0,0 @@ -,null,constant,periodic_1,periodic_2,periodic_3,periodic_4,periodic_5,checkerboard,stepwise,state_transition,change_point -0,0.856,0.870,1.104,1.193,1.198,1.239,1.239,0.903,0.988,0.858,0.848 -1,0.860,0.805,0.964,1.000,1.239,1.239,1.239,0.815,0.936,0.861,0.848 -2,0.864,0.841,1.070,1.267,1.411,1.239,1.239,0.824,0.984,0.816,0.848 -3,0.838,0.811,1.391,1.099,0.960,1.239,1.239,0.798,1.034,0.836,0.848 -4,0.852,0.906,1.089,0.991,1.070,1.239,1.239,1.381,1.324,0.812,0.848 -5,0.872,0.843,1.104,1.184,1.265,1.239,1.239,0.945,0.907,0.890,0.848 -6,0.850,0.787,1.265,1.057,1.152,1.239,1.239,0.754,0.962,0.819,0.848 -7,0.820,0.838,1.087,1.339,1.849,1.239,1.239,0.840,0.869,0.832,0.848 -8,0.771,0.871,1.100,1.057,1.377,1.239,1.239,1.200,0.965,0.847,0.848 -9,0.837,0.765,1.108,1.009,1.239,1.239,1.239,0.815,1.009,0.848,0.848 diff --git a/results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_6_boxcar_likelihoods_cod.csv b/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_6/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_6_boxcar_likelihoods_cod.csv similarity index 100% rename from results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_6_boxcar_likelihoods_cod.csv rename to results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_6/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_6_boxcar_likelihoods_cod.csv diff --git a/results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_6_boxcar_likelihoods_pvals.csv b/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_6/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_6_boxcar_likelihoods_pvals.csv similarity index 100% rename from results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_6_boxcar_likelihoods_pvals.csv rename to results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_6/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_6_boxcar_likelihoods_pvals.csv diff --git a/results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_6_constant_likelihoods_cod.csv b/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_6/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_6_constant_likelihoods_cod.csv similarity index 100% rename from results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_6_constant_likelihoods_cod.csv rename to results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_6/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_6_constant_likelihoods_cod.csv diff --git a/results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_6_constant_likelihoods_pvals.csv b/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_6/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_6_constant_likelihoods_pvals.csv similarity index 100% rename from results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_6_constant_likelihoods_pvals.csv rename to results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_6/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_6_constant_likelihoods_pvals.csv diff --git a/results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_6_likelihoods_DCC_bivariate_loop.csv b/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_6/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_6_likelihoods_DCC_bivariate_loop.csv similarity index 100% rename from results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_6_likelihoods_DCC_bivariate_loop.csv rename to results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_6/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_6_likelihoods_DCC_bivariate_loop.csv diff --git a/results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_6_likelihoods_DCC_joint.csv b/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_6/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_6_likelihoods_DCC_joint.csv similarity index 100% rename from results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_6_likelihoods_DCC_joint.csv rename to results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_6/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_6_likelihoods_DCC_joint.csv diff --git a/results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_6_likelihoods_SVWP_joint.csv b/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_6/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_6_likelihoods_SVWP_joint.csv similarity index 100% rename from results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_6_likelihoods_SVWP_joint.csv rename to results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_6/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_6_likelihoods_SVWP_joint.csv diff --git a/results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_6_likelihoods_SW_30.csv b/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_6/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_6_likelihoods_SW_30.csv similarity index 100% rename from results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_6_likelihoods_SW_30.csv rename to results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_6/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_6_likelihoods_SW_30.csv diff --git a/results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_6_likelihoods_SW_60.csv b/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_6/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_6_likelihoods_SW_60.csv similarity index 100% rename from results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_6_likelihoods_SW_60.csv rename to results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_6/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_6_likelihoods_SW_60.csv diff --git a/results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_6_likelihoods_SW_cross_validated.csv b/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_6/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_6_likelihoods_SW_cross_validated.csv similarity index 100% rename from results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_6_likelihoods_SW_cross_validated.csv rename to results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_6/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_6_likelihoods_SW_cross_validated.csv diff --git a/results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_6_likelihoods_sFC.csv b/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_6/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_6_likelihoods_sFC.csv similarity index 100% rename from results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_6_likelihoods_sFC.csv rename to results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_6/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_6_likelihoods_sFC.csv diff --git a/results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_6_null_likelihoods_cod.csv b/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_6/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_6_null_likelihoods_cod.csv similarity index 100% rename from results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_6_null_likelihoods_cod.csv rename to results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_6/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_6_null_likelihoods_cod.csv diff --git a/results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_6_null_likelihoods_pvals.csv b/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_6/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_6_null_likelihoods_pvals.csv similarity index 100% rename from results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_6_null_likelihoods_pvals.csv rename to results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_6/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_6_null_likelihoods_pvals.csv diff --git a/results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_6_periodic_1_likelihoods_cod.csv b/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_6/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_6_periodic_1_likelihoods_cod.csv similarity index 100% rename from results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_6_periodic_1_likelihoods_cod.csv rename to results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_6/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_6_periodic_1_likelihoods_cod.csv diff --git a/results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_6_periodic_1_likelihoods_pvals.csv b/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_6/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_6_periodic_1_likelihoods_pvals.csv similarity index 100% rename from results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_6_periodic_1_likelihoods_pvals.csv rename to results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_6/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_6_periodic_1_likelihoods_pvals.csv diff --git a/results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_6_periodic_3_likelihoods_cod.csv b/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_6/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_6_periodic_3_likelihoods_cod.csv similarity index 100% rename from results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_6_periodic_3_likelihoods_cod.csv rename to results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_6/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_6_periodic_3_likelihoods_cod.csv diff --git a/results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_6_periodic_3_likelihoods_pvals.csv b/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_6/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_6_periodic_3_likelihoods_pvals.csv similarity index 100% rename from results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_6_periodic_3_likelihoods_pvals.csv rename to results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_6/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_6_periodic_3_likelihoods_pvals.csv diff --git a/results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_6_state_transition_likelihoods_cod.csv b/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_6/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_6_state_transition_likelihoods_cod.csv similarity index 100% rename from results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_6_state_transition_likelihoods_cod.csv rename to results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_6/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_6_state_transition_likelihoods_cod.csv diff --git a/results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_6_state_transition_likelihoods_pvals.csv b/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_6/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_6_state_transition_likelihoods_pvals.csv similarity index 100% rename from results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_6_state_transition_likelihoods_pvals.csv rename to results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_6/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_6_state_transition_likelihoods_pvals.csv diff --git a/results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_6_stepwise_likelihoods_cod.csv b/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_6/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_6_stepwise_likelihoods_cod.csv similarity index 100% rename from results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_6_stepwise_likelihoods_cod.csv rename to results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_6/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_6_stepwise_likelihoods_cod.csv diff --git a/results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_6_stepwise_likelihoods_pvals.csv b/results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_6/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_6_stepwise_likelihoods_pvals.csv similarity index 100% rename from results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_6_stepwise_likelihoods_pvals.csv rename to results/fmri/sim/d4s/N0400_T0010/HCP_noise_snr_6/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_6_stepwise_likelihoods_pvals.csv diff --git a/results/fmri/sim/d4s/N0400_T0010/no_noise/LEOO/SVWP_kernel_lengthscales_kernel_params.csv b/results/fmri/sim/d4s/N0400_T0010/no_noise/LEOO/SVWP_kernel_lengthscales_kernel_params.csv deleted file mode 100644 index b5429758..00000000 --- a/results/fmri/sim/d4s/N0400_T0010/no_noise/LEOO/SVWP_kernel_lengthscales_kernel_params.csv +++ /dev/null @@ -1,11 +0,0 @@ -,null,constant,periodic_1,periodic_2,periodic_3,periodic_4,periodic_5,checkerboard,stepwise,state_transition,change_point -0,1.527,2.385,0.875,0.383,0.266,0.298,0.298,1.226,0.443,1.337,2.105 -1,1.866,2.294,0.467,0.314,0.318,0.298,0.298,0.604,0.395,2.255,2.105 -2,1.435,1.727,0.752,0.295,0.351,0.298,0.298,1.784,0.358,1.041,2.105 -3,1.748,2.281,0.742,0.412,0.264,0.298,0.298,1.523,0.422,1.518,2.105 -4,1.538,2.340,0.728,0.311,0.242,0.298,0.298,0.433,0.463,1.951,2.105 -5,1.832,2.264,0.461,0.454,0.209,0.298,0.298,1.835,0.358,1.777,2.105 -6,1.562,1.765,0.523,0.279,0.355,0.298,0.298,1.613,0.510,0.668,2.105 -7,1.258,2.382,0.503,0.340,0.328,0.298,0.298,0.684,0.550,1.932,2.105 -8,1.280,2.435,0.778,0.349,0.226,0.298,0.298,1.797,0.414,1.696,2.105 -9,0.627,2.730,0.535,0.409,0.298,0.298,0.298,0.774,0.290,2.105,2.105 diff --git a/results/fmri/sim/d4s/N0400_T0010/no_noise/LEOO/SVWP_kernel_variance_kernel_params.csv b/results/fmri/sim/d4s/N0400_T0010/no_noise/LEOO/SVWP_kernel_variance_kernel_params.csv deleted file mode 100644 index 2423b1e8..00000000 --- a/results/fmri/sim/d4s/N0400_T0010/no_noise/LEOO/SVWP_kernel_variance_kernel_params.csv +++ /dev/null @@ -1,11 +0,0 @@ -,null,constant,periodic_1,periodic_2,periodic_3,periodic_4,periodic_5,checkerboard,stepwise,state_transition,change_point -0,0.837,0.825,1.186,1.398,1.554,1.847,1.847,0.867,0.901,0.837,0.822 -1,0.825,0.818,1.062,1.337,1.756,1.847,1.847,1.418,0.946,0.825,0.822 -2,0.866,0.867,1.070,1.257,1.991,1.847,1.847,0.831,0.906,0.749,0.822 -3,0.834,0.823,1.249,1.109,1.734,1.847,1.847,0.810,0.853,0.871,0.822 -4,0.865,0.834,1.177,0.952,1.366,1.847,1.847,1.127,0.849,0.852,0.822 -5,0.846,0.917,1.094,1.215,1.107,1.847,1.847,0.812,0.835,0.854,0.822 -6,0.871,0.762,0.949,1.145,2.248,1.847,1.847,0.897,0.910,1.278,0.822 -7,0.758,0.784,0.977,1.166,1.861,1.847,1.847,0.900,0.916,0.833,0.822 -8,0.884,0.814,1.073,1.158,1.128,1.847,1.847,0.852,0.817,0.798,0.822 -9,1.145,0.814,1.057,1.723,1.847,1.847,1.847,0.827,1.114,0.822,0.822 diff --git a/results/fmri/sim/d4s/N0400_T0010/no_noise/LEOO/VWP_kernel_lengthscales_kernel_params.csv b/results/fmri/sim/d4s/N0400_T0010/no_noise/LEOO/VWP_kernel_lengthscales_kernel_params.csv deleted file mode 100644 index f045f682..00000000 --- a/results/fmri/sim/d4s/N0400_T0010/no_noise/LEOO/VWP_kernel_lengthscales_kernel_params.csv +++ /dev/null @@ -1,11 +0,0 @@ -,null,constant,periodic_1,periodic_2,periodic_3,periodic_4,periodic_5,checkerboard,stepwise,state_transition,change_point -0,1.420,2.317,0.880,0.299,0.262,0.174,0.174,1.253,0.400,1.440,1.957 -1,1.755,2.163,0.697,0.228,0.257,0.174,0.174,0.932,0.376,1.914,1.957 -2,1.206,1.942,0.511,0.257,0.358,0.174,0.174,0.431,0.377,1.637,1.957 -3,1.623,2.197,0.523,0.439,0.159,0.174,0.174,0.133,0.418,1.356,1.957 -4,1.455,2.101,0.732,0.282,0.200,0.174,0.174,0.434,0.408,1.476,1.957 -5,1.678,2.094,0.553,0.370,0.268,0.174,0.174,0.230,0.420,1.525,1.957 -6,0.907,1.963,0.548,0.315,0.352,0.174,0.174,1.277,0.369,1.766,1.957 -7,1.447,2.214,0.542,0.253,0.231,0.174,0.174,1.250,0.406,1.855,1.957 -8,0.931,2.216,0.795,0.249,0.279,0.174,0.174,1.697,0.364,1.891,1.957 -9,1.201,2.406,0.705,0.319,0.174,0.174,0.174,0.727,0.345,1.957,1.957 diff --git a/results/fmri/sim/d4s/N0400_T0010/no_noise/LEOO/VWP_kernel_variance_kernel_params.csv b/results/fmri/sim/d4s/N0400_T0010/no_noise/LEOO/VWP_kernel_variance_kernel_params.csv deleted file mode 100644 index 2b958330..00000000 --- a/results/fmri/sim/d4s/N0400_T0010/no_noise/LEOO/VWP_kernel_variance_kernel_params.csv +++ /dev/null @@ -1,11 +0,0 @@ -,null,constant,periodic_1,periodic_2,periodic_3,periodic_4,periodic_5,checkerboard,stepwise,state_transition,change_point -0,0.840,0.834,1.218,1.056,1.461,0.901,0.901,0.911,0.877,0.822,0.824 -1,0.844,0.828,1.029,1.013,1.178,0.901,0.901,1.037,0.904,0.825,0.824 -2,0.834,0.847,1.028,0.851,1.713,0.901,0.901,1.303,0.944,0.811,0.824 -3,0.850,0.852,1.063,1.145,0.907,0.901,0.901,0.746,0.904,0.856,0.824 -4,0.871,0.861,1.188,1.115,1.155,0.901,0.901,1.556,0.775,0.789,0.824 -5,0.865,0.916,0.965,1.159,1.280,0.901,0.901,1.006,0.841,0.831,0.824 -6,0.742,0.838,1.241,1.158,2.057,0.901,0.901,0.851,1.019,0.838,0.824 -7,0.786,0.841,1.039,1.045,0.984,0.901,0.901,0.895,0.942,0.822,0.824 -8,0.803,0.794,1.105,0.810,1.185,0.901,0.901,0.830,0.792,0.810,0.824 -9,0.838,0.841,1.140,1.211,0.901,0.901,0.901,0.770,0.850,0.824,0.824 diff --git a/results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_no_noise_boxcar_likelihoods_cod.csv b/results/fmri/sim/d4s/N0400_T0010/no_noise/LEOO/imputation_benchmark/LEOO_no_noise_boxcar_likelihoods_cod.csv similarity index 100% rename from results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_no_noise_boxcar_likelihoods_cod.csv rename to results/fmri/sim/d4s/N0400_T0010/no_noise/LEOO/imputation_benchmark/LEOO_no_noise_boxcar_likelihoods_cod.csv diff --git a/results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_no_noise_boxcar_likelihoods_pvals.csv b/results/fmri/sim/d4s/N0400_T0010/no_noise/LEOO/imputation_benchmark/LEOO_no_noise_boxcar_likelihoods_pvals.csv similarity index 100% rename from results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_no_noise_boxcar_likelihoods_pvals.csv rename to results/fmri/sim/d4s/N0400_T0010/no_noise/LEOO/imputation_benchmark/LEOO_no_noise_boxcar_likelihoods_pvals.csv diff --git a/results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_no_noise_checkerboard_likelihoods_cod.csv b/results/fmri/sim/d4s/N0400_T0010/no_noise/LEOO/imputation_benchmark/LEOO_no_noise_checkerboard_likelihoods_cod.csv similarity index 100% rename from results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_no_noise_checkerboard_likelihoods_cod.csv rename to 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a/results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_no_noise_null_likelihoods_cod.csv b/results/fmri/sim/d4s/N0400_T0010/no_noise/LEOO/imputation_benchmark/LEOO_no_noise_null_likelihoods_cod.csv similarity index 100% rename from results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_no_noise_null_likelihoods_cod.csv rename to results/fmri/sim/d4s/N0400_T0010/no_noise/LEOO/imputation_benchmark/LEOO_no_noise_null_likelihoods_cod.csv diff --git a/results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_no_noise_null_likelihoods_pvals.csv b/results/fmri/sim/d4s/N0400_T0010/no_noise/LEOO/imputation_benchmark/LEOO_no_noise_null_likelihoods_pvals.csv similarity index 100% rename from results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_no_noise_null_likelihoods_pvals.csv rename to results/fmri/sim/d4s/N0400_T0010/no_noise/LEOO/imputation_benchmark/LEOO_no_noise_null_likelihoods_pvals.csv diff --git a/results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_no_noise_periodic_1_likelihoods_cod.csv b/results/fmri/sim/d4s/N0400_T0010/no_noise/LEOO/imputation_benchmark/LEOO_no_noise_periodic_1_likelihoods_cod.csv similarity index 100% rename from results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_no_noise_periodic_1_likelihoods_cod.csv rename to results/fmri/sim/d4s/N0400_T0010/no_noise/LEOO/imputation_benchmark/LEOO_no_noise_periodic_1_likelihoods_cod.csv diff --git a/results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_no_noise_periodic_1_likelihoods_pvals.csv b/results/fmri/sim/d4s/N0400_T0010/no_noise/LEOO/imputation_benchmark/LEOO_no_noise_periodic_1_likelihoods_pvals.csv similarity index 100% rename from results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_no_noise_periodic_1_likelihoods_pvals.csv rename to results/fmri/sim/d4s/N0400_T0010/no_noise/LEOO/imputation_benchmark/LEOO_no_noise_periodic_1_likelihoods_pvals.csv diff --git a/results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_no_noise_periodic_3_likelihoods_cod.csv b/results/fmri/sim/d4s/N0400_T0010/no_noise/LEOO/imputation_benchmark/LEOO_no_noise_periodic_3_likelihoods_cod.csv similarity index 100% rename from results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_no_noise_periodic_3_likelihoods_cod.csv rename to results/fmri/sim/d4s/N0400_T0010/no_noise/LEOO/imputation_benchmark/LEOO_no_noise_periodic_3_likelihoods_cod.csv diff --git a/results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_no_noise_periodic_3_likelihoods_pvals.csv b/results/fmri/sim/d4s/N0400_T0010/no_noise/LEOO/imputation_benchmark/LEOO_no_noise_periodic_3_likelihoods_pvals.csv similarity index 100% rename from results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_no_noise_periodic_3_likelihoods_pvals.csv rename to results/fmri/sim/d4s/N0400_T0010/no_noise/LEOO/imputation_benchmark/LEOO_no_noise_periodic_3_likelihoods_pvals.csv diff --git a/results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_no_noise_state_transition_likelihoods_cod.csv b/results/fmri/sim/d4s/N0400_T0010/no_noise/LEOO/imputation_benchmark/LEOO_no_noise_state_transition_likelihoods_cod.csv similarity index 100% rename from results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_no_noise_state_transition_likelihoods_cod.csv rename to results/fmri/sim/d4s/N0400_T0010/no_noise/LEOO/imputation_benchmark/LEOO_no_noise_state_transition_likelihoods_cod.csv diff --git a/results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_no_noise_state_transition_likelihoods_pvals.csv b/results/fmri/sim/d4s/N0400_T0010/no_noise/LEOO/imputation_benchmark/LEOO_no_noise_state_transition_likelihoods_pvals.csv similarity index 100% rename from results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_no_noise_state_transition_likelihoods_pvals.csv rename to results/fmri/sim/d4s/N0400_T0010/no_noise/LEOO/imputation_benchmark/LEOO_no_noise_state_transition_likelihoods_pvals.csv diff --git a/results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_no_noise_stepwise_likelihoods_cod.csv b/results/fmri/sim/d4s/N0400_T0010/no_noise/LEOO/imputation_benchmark/LEOO_no_noise_stepwise_likelihoods_cod.csv similarity index 100% rename from results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_no_noise_stepwise_likelihoods_cod.csv rename to results/fmri/sim/d4s/N0400_T0010/no_noise/LEOO/imputation_benchmark/LEOO_no_noise_stepwise_likelihoods_cod.csv diff --git a/results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_no_noise_stepwise_likelihoods_pvals.csv b/results/fmri/sim/d4s/N0400_T0010/no_noise/LEOO/imputation_benchmark/LEOO_no_noise_stepwise_likelihoods_pvals.csv similarity index 100% rename from results/fmri/sim/d4s/N0400_T0010/imputation_benchmark/LEOO_no_noise_stepwise_likelihoods_pvals.csv rename to results/fmri/sim/d4s/N0400_T0010/no_noise/LEOO/imputation_benchmark/LEOO_no_noise_stepwise_likelihoods_pvals.csv diff --git a/results/fmri/sim/d50s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_SW_cross_validated.csv b/results/fmri/sim/d50s/N0400_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_SW_cross_validated.csv similarity index 100% rename from results/fmri/sim/d50s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_SW_cross_validated.csv rename to results/fmri/sim/d50s/N0400_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_SW_cross_validated.csv diff --git a/results/fmri/sim/d50s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_sFC.csv b/results/fmri/sim/d50s/N0400_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_sFC.csv similarity index 100% rename from results/fmri/sim/d50s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_sFC.csv rename to results/fmri/sim/d50s/N0400_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_sFC.csv diff --git a/results/fmri/sim/d50s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_2_likelihoods_SW_cross_validated.csv b/results/fmri/sim/d50s/N0400_T0010/HCP_noise_snr_2/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_2_likelihoods_SW_cross_validated.csv similarity index 100% rename from results/fmri/sim/d50s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_2_likelihoods_SW_cross_validated.csv rename to results/fmri/sim/d50s/N0400_T0010/HCP_noise_snr_2/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_2_likelihoods_SW_cross_validated.csv diff --git a/results/fmri/sim/d50s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_2_likelihoods_sFC.csv b/results/fmri/sim/d50s/N0400_T0010/HCP_noise_snr_2/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_2_likelihoods_sFC.csv similarity index 100% rename from results/fmri/sim/d50s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_2_likelihoods_sFC.csv rename to results/fmri/sim/d50s/N0400_T0010/HCP_noise_snr_2/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_2_likelihoods_sFC.csv diff --git a/results/fmri/sim/d50s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_6_likelihoods_SW_cross_validated.csv b/results/fmri/sim/d50s/N0400_T0010/HCP_noise_snr_6/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_6_likelihoods_SW_cross_validated.csv similarity index 100% rename from results/fmri/sim/d50s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_6_likelihoods_SW_cross_validated.csv rename to results/fmri/sim/d50s/N0400_T0010/HCP_noise_snr_6/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_6_likelihoods_SW_cross_validated.csv diff --git a/results/fmri/sim/d50s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_6_likelihoods_sFC.csv b/results/fmri/sim/d50s/N0400_T0010/HCP_noise_snr_6/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_6_likelihoods_sFC.csv similarity index 100% rename from results/fmri/sim/d50s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_6_likelihoods_sFC.csv rename to results/fmri/sim/d50s/N0400_T0010/HCP_noise_snr_6/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_6_likelihoods_sFC.csv diff --git a/results/fmri/sim/d50s/N0400_T0010/imputation_benchmark/LEOO_no_noise_likelihoods_SW_cross_validated.csv b/results/fmri/sim/d50s/N0400_T0010/no_noise/LEOO/imputation_benchmark/LEOO_no_noise_likelihoods_SW_cross_validated.csv similarity index 100% rename from results/fmri/sim/d50s/N0400_T0010/imputation_benchmark/LEOO_no_noise_likelihoods_SW_cross_validated.csv rename to results/fmri/sim/d50s/N0400_T0010/no_noise/LEOO/imputation_benchmark/LEOO_no_noise_likelihoods_SW_cross_validated.csv diff --git a/results/fmri/sim/d50s/N0400_T0010/imputation_benchmark/LEOO_no_noise_likelihoods_sFC.csv b/results/fmri/sim/d50s/N0400_T0010/no_noise/LEOO/imputation_benchmark/LEOO_no_noise_likelihoods_sFC.csv similarity index 100% rename from results/fmri/sim/d50s/N0400_T0010/imputation_benchmark/LEOO_no_noise_likelihoods_sFC.csv rename to results/fmri/sim/d50s/N0400_T0010/no_noise/LEOO/imputation_benchmark/LEOO_no_noise_likelihoods_sFC.csv diff --git a/results/fmri/sim/d6s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_sFC.csv b/results/fmri/sim/d6s/N0400_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_sFC.csv similarity index 100% rename from results/fmri/sim/d6s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_sFC.csv rename to results/fmri/sim/d6s/N0400_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_sFC.csv diff --git a/results/fmri/sim/d6s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_2_likelihoods_sFC.csv b/results/fmri/sim/d6s/N0400_T0010/HCP_noise_snr_2/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_2_likelihoods_sFC.csv similarity index 100% rename from results/fmri/sim/d6s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_2_likelihoods_sFC.csv rename to results/fmri/sim/d6s/N0400_T0010/HCP_noise_snr_2/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_2_likelihoods_sFC.csv diff --git a/results/fmri/sim/d6s/N0400_T0010/HCP_noise_snr_2/all/test_log_likelihood_mean.csv b/results/fmri/sim/d6s/N0400_T0010/HCP_noise_snr_2/all/test_log_likelihood_mean.csv deleted file mode 100644 index a191599c..00000000 --- a/results/fmri/sim/d6s/N0400_T0010/HCP_noise_snr_2/all/test_log_likelihood_mean.csv +++ /dev/null @@ -1,11 +0,0 @@ -,null,constant,periodic_1,periodic_2,periodic_3,periodic_4,periodic_5,checkerboard,stepwise,state_transition,change_point,average -VWP,,,,,,,,,,,, -SVWP,,,,,,,,,,,, -DCC_joint,-8.495,-8.225,-8.411,-8.433,-8.450,-8.458,-8.458,-8.438,-8.352,-8.434,-8.399,-8.414 -DCC_bivariate_loop,-8.482,-8.209,-8.310,-8.318,-8.340,-8.339,-8.348,-8.390,-8.295,-8.417,-8.357,-8.346 -SW_cross_validated,-8.511,-8.216,-8.272,-8.245,-8.249,-8.267,-8.508,-8.304,-8.193,-8.450,-8.373,-8.326 -SW_15,-8.963,-9.810,-9.869,-10.315,-9.125,-8.994,-9.077,-9.555,-13.007,-9.063,-9.260,-9.731 -SW_30,-8.381,-8.213,-8.370,-8.278,-8.239,-8.181,-8.231,-8.313,-8.595,-8.354,-8.355,-8.319 -SW_60,-8.431,-8.154,-8.236,-8.204,-8.279,-8.273,-8.372,-8.307,-8.190,-8.382,-8.330,-8.287 -SW_120,-8.499,-8.243,-8.328,-8.392,-8.477,-8.524,-8.568,-8.467,-8.235,-8.457,-8.378,-8.415 -sFC,-8.490,-8.206,-8.494,-8.490,-8.491,-8.492,-8.492,-8.443,-8.492,-8.427,-8.402,-8.447 diff --git a/results/fmri/sim/d6s/N0400_T0010/HCP_noise_snr_2/all/test_log_likelihood_se.csv b/results/fmri/sim/d6s/N0400_T0010/HCP_noise_snr_2/all/test_log_likelihood_se.csv deleted file mode 100644 index 47fefe4f..00000000 --- a/results/fmri/sim/d6s/N0400_T0010/HCP_noise_snr_2/all/test_log_likelihood_se.csv +++ /dev/null @@ -1,11 +0,0 @@ -,null,constant,periodic_1,periodic_2,periodic_3,periodic_4,periodic_5,checkerboard,stepwise,state_transition,change_point,average -VWP,,,,,,,,,,,, -SVWP,,,,,,,,,,,, -DCC_joint,0.002,0.012,0.008,0.008,0.005,0.005,0.006,0.007,0.015,0.008,0.011,0.008 -DCC_bivariate_loop,0.004,0.013,0.013,0.014,0.009,0.010,0.007,0.007,0.029,0.010,0.014,0.012 -SW_cross_validated,0.012,0.017,0.022,0.023,0.026,0.038,0.010,0.018,0.026,0.017,0.019,0.021 -SW_15,0.093,0.422,0.222,0.485,0.097,0.091,0.115,0.426,0.970,0.133,0.168,0.293 -SW_30,0.024,0.030,0.095,0.043,0.035,0.026,0.034,0.030,0.114,0.026,0.032,0.045 -SW_60,0.015,0.016,0.031,0.022,0.015,0.013,0.027,0.012,0.038,0.014,0.024,0.021 -SW_120,0.010,0.015,0.013,0.014,0.010,0.009,0.012,0.013,0.032,0.012,0.014,0.014 -sFC,0.002,0.010,0.002,0.003,0.002,0.002,0.003,0.006,0.002,0.006,0.009,0.004 diff --git a/results/fmri/sim/d6s/N0400_T0010/HCP_noise_snr_2/all/test_log_likelihood_std.csv b/results/fmri/sim/d6s/N0400_T0010/HCP_noise_snr_2/all/test_log_likelihood_std.csv deleted file mode 100644 index 26956359..00000000 --- a/results/fmri/sim/d6s/N0400_T0010/HCP_noise_snr_2/all/test_log_likelihood_std.csv +++ /dev/null @@ -1,11 +0,0 @@ -,null,constant,periodic_1,periodic_2,periodic_3,periodic_4,periodic_5,checkerboard,stepwise,state_transition,change_point,average -VWP,,,,,,,,,,,, -SVWP,,,,,,,,,,,, -DCC_joint,0.007,0.038,0.025,0.026,0.016,0.016,0.019,0.021,0.048,0.027,0.034,0.025 -DCC_bivariate_loop,0.012,0.043,0.041,0.045,0.028,0.031,0.023,0.024,0.091,0.030,0.045,0.037 -SW_cross_validated,0.038,0.055,0.069,0.072,0.083,0.119,0.030,0.056,0.082,0.055,0.061,0.066 -SW_15,0.294,1.335,0.703,1.535,0.306,0.289,0.364,1.347,3.069,0.422,0.532,0.927 -SW_30,0.076,0.096,0.301,0.137,0.111,0.083,0.109,0.094,0.362,0.083,0.102,0.141 -SW_60,0.046,0.051,0.098,0.068,0.047,0.040,0.086,0.038,0.121,0.045,0.075,0.065 -SW_120,0.033,0.047,0.040,0.043,0.032,0.028,0.038,0.042,0.100,0.038,0.045,0.044 -sFC,0.006,0.033,0.006,0.009,0.008,0.005,0.008,0.019,0.006,0.020,0.029,0.014 diff --git a/results/fmri/sim/d6s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_6_likelihoods_sFC.csv b/results/fmri/sim/d6s/N0400_T0010/HCP_noise_snr_6/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_6_likelihoods_sFC.csv similarity index 100% rename from results/fmri/sim/d6s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_6_likelihoods_sFC.csv rename to results/fmri/sim/d6s/N0400_T0010/HCP_noise_snr_6/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_6_likelihoods_sFC.csv diff --git a/results/fmri/sim/d6s/N0400_T0010/HCP_noise_snr_6/all/test_log_likelihood_mean.csv b/results/fmri/sim/d6s/N0400_T0010/HCP_noise_snr_6/all/test_log_likelihood_mean.csv deleted file mode 100644 index a2580ffd..00000000 --- a/results/fmri/sim/d6s/N0400_T0010/HCP_noise_snr_6/all/test_log_likelihood_mean.csv +++ /dev/null @@ -1,11 +0,0 @@ -,null,constant,periodic_1,periodic_2,periodic_3,periodic_4,periodic_5,checkerboard,stepwise,state_transition,change_point,average -VWP,,,,,,,,,,,, -SVWP,,,,,,,,,,,, -DCC_joint,-8.493,-8.037,-8.325,-8.401,-8.428,-8.435,-8.449,-8.427,-8.072,-8.380,-8.334,-8.344 -DCC_bivariate_loop,-8.484,-8.031,-8.153,-8.267,-8.209,-8.357,-8.233,-8.364,-8.752,-8.368,-8.267,-8.317 -SW_cross_validated,-8.556,-8.100,-8.066,-8.073,-8.066,-8.010,-8.243,-8.349,-7.536,-8.429,-8.300,-8.157 -SW_15,-8.396,-8.170,-7.924,-8.071,-8.062,-7.843,-7.842,-8.627,-10.998,-8.704,-8.186,-8.439 -SW_30,-8.237,-7.790,-7.792,-7.809,-7.841,-7.839,-7.882,-8.067,-7.804,-8.118,-7.992,-7.925 -SW_60,-8.376,-7.946,-7.945,-8.030,-8.105,-8.180,-8.234,-8.238,-7.651,-8.267,-8.148,-8.102 -SW_120,-8.504,-8.054,-8.170,-8.323,-8.433,-8.543,-8.581,-8.442,-7.780,-8.390,-8.270,-8.317 -sFC,-8.495,-8.038,-8.495,-8.496,-8.492,-8.492,-8.494,-8.438,-8.494,-8.382,-8.353,-8.424 diff --git a/results/fmri/sim/d6s/N0400_T0010/HCP_noise_snr_6/all/test_log_likelihood_se.csv b/results/fmri/sim/d6s/N0400_T0010/HCP_noise_snr_6/all/test_log_likelihood_se.csv deleted file mode 100644 index 59ddc419..00000000 --- a/results/fmri/sim/d6s/N0400_T0010/HCP_noise_snr_6/all/test_log_likelihood_se.csv +++ /dev/null @@ -1,11 +0,0 @@ -,null,constant,periodic_1,periodic_2,periodic_3,periodic_4,periodic_5,checkerboard,stepwise,state_transition,change_point,average -VWP,,,,,,,,,,,, -SVWP,,,,,,,,,,,, -DCC_joint,0.002,0.007,0.007,0.007,0.006,0.003,0.004,0.006,0.008,0.010,0.009,0.006 -DCC_bivariate_loop,0.003,0.009,0.015,0.086,0.015,0.073,0.012,0.008,0.660,0.010,0.011,0.082 -SW_cross_validated,0.009,0.010,0.017,0.023,0.022,0.023,0.085,0.034,0.024,0.015,0.015,0.025 -SW_15,0.088,0.208,0.064,0.067,0.090,0.047,0.053,0.297,0.773,0.542,0.150,0.216 -SW_30,0.015,0.019,0.016,0.011,0.023,0.013,0.018,0.011,0.090,0.014,0.022,0.023 -SW_60,0.012,0.011,0.011,0.015,0.016,0.010,0.011,0.010,0.035,0.012,0.011,0.014 -SW_120,0.009,0.008,0.013,0.012,0.012,0.012,0.007,0.006,0.019,0.013,0.013,0.011 -sFC,0.002,0.007,0.002,0.002,0.003,0.002,0.002,0.005,0.002,0.010,0.009,0.004 diff --git a/results/fmri/sim/d6s/N0400_T0010/HCP_noise_snr_6/all/test_log_likelihood_std.csv b/results/fmri/sim/d6s/N0400_T0010/HCP_noise_snr_6/all/test_log_likelihood_std.csv deleted file mode 100644 index 6adfa7af..00000000 --- a/results/fmri/sim/d6s/N0400_T0010/HCP_noise_snr_6/all/test_log_likelihood_std.csv +++ /dev/null @@ -1,11 +0,0 @@ -,null,constant,periodic_1,periodic_2,periodic_3,periodic_4,periodic_5,checkerboard,stepwise,state_transition,change_point,average -VWP,,,,,,,,,,,, -SVWP,,,,,,,,,,,, -DCC_joint,0.008,0.023,0.021,0.023,0.021,0.011,0.014,0.020,0.026,0.031,0.027,0.020 -DCC_bivariate_loop,0.011,0.027,0.046,0.273,0.048,0.231,0.037,0.025,2.086,0.030,0.033,0.259 -SW_cross_validated,0.027,0.032,0.055,0.074,0.070,0.074,0.269,0.107,0.075,0.049,0.047,0.080 -SW_15,0.278,0.659,0.202,0.211,0.284,0.150,0.168,0.938,2.443,1.713,0.474,0.683 -SW_30,0.048,0.061,0.050,0.036,0.073,0.041,0.058,0.034,0.285,0.043,0.069,0.073 -SW_60,0.038,0.034,0.035,0.046,0.052,0.031,0.033,0.033,0.111,0.039,0.035,0.044 -SW_120,0.029,0.027,0.041,0.039,0.039,0.038,0.021,0.019,0.060,0.041,0.041,0.036 -sFC,0.008,0.023,0.006,0.006,0.011,0.007,0.006,0.017,0.005,0.031,0.027,0.013 diff --git a/results/fmri/sim/d6s/N0400_T0010/imputation_benchmark/LEOO_no_noise_likelihoods_sFC.csv b/results/fmri/sim/d6s/N0400_T0010/no_noise/LEOO/imputation_benchmark/LEOO_no_noise_likelihoods_sFC.csv similarity index 100% rename from results/fmri/sim/d6s/N0400_T0010/imputation_benchmark/LEOO_no_noise_likelihoods_sFC.csv rename to results/fmri/sim/d6s/N0400_T0010/no_noise/LEOO/imputation_benchmark/LEOO_no_noise_likelihoods_sFC.csv diff --git a/results/fmri/sim/d9s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_SW_30.csv b/results/fmri/sim/d9s/N0400_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_SW_30.csv similarity index 100% rename from results/fmri/sim/d9s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_SW_30.csv rename to results/fmri/sim/d9s/N0400_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_SW_30.csv diff --git a/results/fmri/sim/d9s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_SW_60.csv b/results/fmri/sim/d9s/N0400_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_SW_60.csv similarity index 100% rename from results/fmri/sim/d9s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_SW_60.csv rename to results/fmri/sim/d9s/N0400_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_SW_60.csv diff --git a/results/fmri/sim/d9s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_sFC.csv b/results/fmri/sim/d9s/N0400_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_sFC.csv similarity index 100% rename from results/fmri/sim/d9s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_sFC.csv rename to results/fmri/sim/d9s/N0400_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_sFC.csv diff --git a/results/fmri/sim/d9s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_2_likelihoods_SW_30.csv b/results/fmri/sim/d9s/N0400_T0010/HCP_noise_snr_2/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_2_likelihoods_SW_30.csv similarity index 100% rename from results/fmri/sim/d9s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_2_likelihoods_SW_30.csv rename to results/fmri/sim/d9s/N0400_T0010/HCP_noise_snr_2/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_2_likelihoods_SW_30.csv diff --git a/results/fmri/sim/d9s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_2_likelihoods_SW_60.csv b/results/fmri/sim/d9s/N0400_T0010/HCP_noise_snr_2/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_2_likelihoods_SW_60.csv similarity index 100% rename from results/fmri/sim/d9s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_2_likelihoods_SW_60.csv rename to results/fmri/sim/d9s/N0400_T0010/HCP_noise_snr_2/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_2_likelihoods_SW_60.csv diff --git a/results/fmri/sim/d9s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_2_likelihoods_sFC.csv b/results/fmri/sim/d9s/N0400_T0010/HCP_noise_snr_2/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_2_likelihoods_sFC.csv similarity index 100% rename from results/fmri/sim/d9s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_2_likelihoods_sFC.csv rename to results/fmri/sim/d9s/N0400_T0010/HCP_noise_snr_2/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_2_likelihoods_sFC.csv diff --git a/results/fmri/sim/d9s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_6_likelihoods_SW_30.csv b/results/fmri/sim/d9s/N0400_T0010/HCP_noise_snr_6/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_6_likelihoods_SW_30.csv similarity index 100% rename from results/fmri/sim/d9s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_6_likelihoods_SW_30.csv rename to results/fmri/sim/d9s/N0400_T0010/HCP_noise_snr_6/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_6_likelihoods_SW_30.csv diff --git a/results/fmri/sim/d9s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_6_likelihoods_SW_60.csv b/results/fmri/sim/d9s/N0400_T0010/HCP_noise_snr_6/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_6_likelihoods_SW_60.csv similarity index 100% rename from results/fmri/sim/d9s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_6_likelihoods_SW_60.csv rename to results/fmri/sim/d9s/N0400_T0010/HCP_noise_snr_6/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_6_likelihoods_SW_60.csv diff --git a/results/fmri/sim/d9s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_6_likelihoods_sFC.csv b/results/fmri/sim/d9s/N0400_T0010/HCP_noise_snr_6/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_6_likelihoods_sFC.csv similarity index 100% rename from results/fmri/sim/d9s/N0400_T0010/imputation_benchmark/LEOO_HCP_noise_snr_6_likelihoods_sFC.csv rename to results/fmri/sim/d9s/N0400_T0010/HCP_noise_snr_6/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_6_likelihoods_sFC.csv diff --git a/results/fmri/sim/d9s/N0400_T0010/imputation_benchmark/LEOO_no_noise_likelihoods_SW_30.csv b/results/fmri/sim/d9s/N0400_T0010/no_noise/LEOO/imputation_benchmark/LEOO_no_noise_likelihoods_SW_30.csv similarity index 100% rename from results/fmri/sim/d9s/N0400_T0010/imputation_benchmark/LEOO_no_noise_likelihoods_SW_30.csv rename to results/fmri/sim/d9s/N0400_T0010/no_noise/LEOO/imputation_benchmark/LEOO_no_noise_likelihoods_SW_30.csv diff --git a/results/fmri/sim/d9s/N0400_T0010/imputation_benchmark/LEOO_no_noise_likelihoods_SW_60.csv b/results/fmri/sim/d9s/N0400_T0010/no_noise/LEOO/imputation_benchmark/LEOO_no_noise_likelihoods_SW_60.csv similarity index 100% rename from results/fmri/sim/d9s/N0400_T0010/imputation_benchmark/LEOO_no_noise_likelihoods_SW_60.csv rename to results/fmri/sim/d9s/N0400_T0010/no_noise/LEOO/imputation_benchmark/LEOO_no_noise_likelihoods_SW_60.csv diff --git a/results/fmri/sim/d9s/N0400_T0010/imputation_benchmark/LEOO_no_noise_likelihoods_sFC.csv b/results/fmri/sim/d9s/N0400_T0010/no_noise/LEOO/imputation_benchmark/LEOO_no_noise_likelihoods_sFC.csv similarity index 100% rename from results/fmri/sim/d9s/N0400_T0010/imputation_benchmark/LEOO_no_noise_likelihoods_sFC.csv rename to results/fmri/sim/d9s/N0400_T0010/no_noise/LEOO/imputation_benchmark/LEOO_no_noise_likelihoods_sFC.csv From 29cd23947c9d14cc696228b0c30d5dd24e74bb5b Mon Sep 17 00:00:00 2001 From: Onno Kampman Date: Sat, 1 Jun 2024 15:48:52 +0800 Subject: [PATCH 7/9] test citation.cff file --- CITATION.cff | 34 ++++++++++++++++++++++++++++++++++ 1 file changed, 34 insertions(+) create mode 100644 CITATION.cff diff --git a/CITATION.cff b/CITATION.cff new file mode 100644 index 00000000..43d407f3 --- /dev/null +++ b/CITATION.cff @@ -0,0 +1,34 @@ +# https://citation-file-format.github.io + +cff-version: 1.2.0 +message: "If you use this software, please cite it as below." +authors: +- family-names: "Kampman" + given-names: "Onno P." + orcid: "https://orcid.org/0000-0000-0000-0000" +- family-names: "Ziminski" + given-names: "Joe" + orcid: "https://orcid.org/0000-0000-0000-0000" +title: "FCEst-benchmarking" +version: 0.0.1 +doi: 10.5281/zenodo.1234 +date-released: 2024-05-17 +url: "https://github.com/OnnoKampman/FCEst-benchmarking" +preferred-citation: + type: article + authors: + - family-names: "Kampman" + given-names: "Onno P." + orcid: "https://orcid.org/0000-0000-0000-0000" + - family-names: "Ziminski" + given-names: "Joe" + orcid: "https://orcid.org/0000-0000-0000-0000" + doi: "10.1162/imag_a_00184" + journal: "Imaging Neuroscience" + month: 5 + start: 1 # First page number + end: 10 # Last page number + title: "Time-varying functional connectivity as Wishart processes" + issue: 1 + volume: 2 + year: 2024 From fe2e9ef59aafdcde2a7248e9d40c79bd310b5471 Mon Sep 17 00:00:00 2001 From: "onno.kampman@gmail.com" Date: Sat, 1 Jun 2024 17:13:48 +0100 Subject: [PATCH 8/9] update some results --- ...EOO_multivariate_likelihoods_DCC_joint.csv | 1624 ++++++++--------- ...OO_multivariate_likelihoods_SVWP_joint.csv | 1624 ++++++++--------- ...e_snr_1_likelihoods_SW_cross_validated.csv | 11 + ...e_snr_2_likelihoods_SW_cross_validated.csv | 11 + ...e_snr_6_likelihoods_SW_cross_validated.csv | 11 + ...o_noise_likelihoods_SW_cross_validated.csv | 11 + 6 files changed, 1668 insertions(+), 1624 deletions(-) create mode 100644 results/fmri/sim/d15s/N0400_T0010/HCP_noise_snr_1/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_1_likelihoods_SW_cross_validated.csv create mode 100644 results/fmri/sim/d15s/N0400_T0010/HCP_noise_snr_2/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_2_likelihoods_SW_cross_validated.csv create mode 100644 results/fmri/sim/d15s/N0400_T0010/HCP_noise_snr_6/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_6_likelihoods_SW_cross_validated.csv create mode 100644 results/fmri/sim/d15s/N0400_T0010/no_noise/LEOO/imputation_benchmark/LEOO_no_noise_likelihoods_SW_cross_validated.csv diff --git a/results/fmri/rs/HCP/HCP_PTN1200_recon2/3T_HCP1200_MSMAll_d15_ts2/imputation_benchmark/LEOO_multivariate_likelihoods_DCC_joint.csv b/results/fmri/rs/HCP/HCP_PTN1200_recon2/3T_HCP1200_MSMAll_d15_ts2/imputation_benchmark/LEOO_multivariate_likelihoods_DCC_joint.csv index 730954f7..86afc18a 100644 --- a/results/fmri/rs/HCP/HCP_PTN1200_recon2/3T_HCP1200_MSMAll_d15_ts2/imputation_benchmark/LEOO_multivariate_likelihoods_DCC_joint.csv +++ b/results/fmri/rs/HCP/HCP_PTN1200_recon2/3T_HCP1200_MSMAll_d15_ts2/imputation_benchmark/LEOO_multivariate_likelihoods_DCC_joint.csv 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a/results/fmri/sim/d15s/N0400_T0010/HCP_noise_snr_6/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_6_likelihoods_SW_cross_validated.csv b/results/fmri/sim/d15s/N0400_T0010/HCP_noise_snr_6/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_6_likelihoods_SW_cross_validated.csv new file mode 100644 index 00000000..e05e5b6b --- /dev/null +++ b/results/fmri/sim/d15s/N0400_T0010/HCP_noise_snr_6/LEOO/imputation_benchmark/LEOO_HCP_noise_snr_6_likelihoods_SW_cross_validated.csv @@ -0,0 +1,11 @@ +,null,constant,periodic_1,periodic_2,periodic_3,periodic_4,periodic_5,boxcar,stepwise,state_transition,change_point +0,-23.05,-22.52,-23.37,-22.92,-22.89,-23.68,-23.00,-23.18,-22.72,-22.77,-23.33 +1,-23.44,-22.45,-23.01,-23.01,-23.32,-23.47,-23.06,-23.09,-21.83,-22.60,-22.96 +2,-23.09,-22.41,-22.50,-23.26,-23.38,-23.23,-22.65,-23.19,-22.22,-22.86,-22.93 +3,-23.05,-22.68,-23.34,-23.30,-23.29,-22.76,-22.54,-22.58,-22.19,-23.46,-22.76 +4,-22.79,-22.78,-23.16,-22.94,-23.09,-23.34,-24.12,-23.01,-22.23,-23.46,-22.63 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+0,-23.01,-22.82,-22.58,-23.17,-23.40,-23.33,-23.26,-22.16,-22.73,-23.17,-22.65 +1,-23.03,-23.01,-23.61,-22.69,-22.81,-23.18,-22.86,-22.79,-21.85,-23.13,-23.45 +2,-23.20,-22.35,-22.68,-23.03,-22.98,-23.40,-22.75,-23.10,-22.56,-23.50,-23.02 +3,-23.11,-22.56,-23.07,-23.18,-22.86,-23.58,-23.37,-23.41,-22.28,-23.05,-22.77 +4,-23.18,-22.75,-23.72,-23.20,-23.55,-23.13,-22.77,-23.57,-22.72,-23.12,-22.89 +5,-22.84,-23.13,-22.86,-22.57,-23.75,-23.43,-23.01,-22.95,-21.94,-23.68,-23.11 +6,-23.15,-22.70,-22.75,-23.01,-23.62,-23.10,-23.74,-23.28,-21.91,-22.99,-23.13 +7,-23.26,-22.30,-22.90,-23.10,-23.19,-23.30,-23.36,-23.20,-22.26,-22.62,-23.33 +8,-22.76,-22.31,-23.23,-23.18,-23.16,-22.84,-22.92,-23.29,-22.38,-23.04,-22.95 +9,-23.54,-22.56,-23.01,-23.35,-23.43,-23.75,-22.88,-22.98,-22.29,-23.18,-22.51 From 6638d77cff32647d00757999578a04bc01df5129 Mon Sep 17 00:00:00 2001 From: Onno Kampman Date: Sun, 2 Jun 2024 00:24:21 +0800 Subject: [PATCH 9/9] cleanup --- .gitignore | 7 +- CITATION.cff | 20 +++++- README.md | 3 + .../save_TVFC_estimates_summary_measures.py | 12 ++-- .../rs/HCP/brain_states/plot_brain_states.py | 4 +- .../save_brain_state_switch_counts.py | 10 +-- .../compute_edgewise_LEOO_likelihoods.py | 4 +- .../plot_edgewise_LEOO_likelihoods.py | 8 +-- .../rs/HCP/plotters/plot_TVFC_estimates.py | 11 ++- .../plot_TVFC_estimates_summary_measures.py | 12 ++-- ...gthscale_optimal_window_length_relation.py | 1 - .../rs/HCP/plotters/plot_node_timeseries.py | 10 +-- .../rs/HCP/plotters/plot_sFC_estimates.py | 6 +- ...ometricity_scores_TVFC_summary_measures.py | 2 +- ...tricity_scores_brain_state_switch_count.py | 2 +- ...phometricity_scores_kernel_lengthscales.py | 8 +-- ...prediction_scores_TVFC_summary_measures.py | 18 ++--- ...diction_scores_brain_state_switch_count.py | 2 +- ...e_prediction_scores_kernel_lengthscales.py | 20 +++--- .../rs/HCP/test_retest/compute_I2C2_scores.py | 4 +- .../compute_ICC_edgewise_matrices.py | 4 +- .../test_retest/plot_ICC_edgewise_matrices.py | 18 ++--- .../run_statistical_test_mean_ICC_score.py | 4 +- .../generate_slurm_jobs_train_WP.py | 4 +- .../HCP/train_models/save_TVFC_estimates.py | 1 - .../fmri/rs/HCP/train_models/train_SVWP.py | 21 ++---- .../save_TVFC_estimates_summary_measures.py | 3 +- .../fmri/sim/plotters/plot_TVFC_estimates.py | 4 +- .../fmri/sim/plotters/plot_node_timeseries.py | 1 - .../train_models/train_SW_cross_validated.py | 3 +- .../compute_LEOO_likelihoods.py | 4 +- configs/configs.py | 5 +- environment.yml | 3 - helpers/data.py | 12 ++-- helpers/morphometricity.py | 68 +++++++++++++------ helpers/simulations.py | 24 +++---- helpers/test_retest.py | 28 +++++--- tests/helpers/morphometricity.py | 2 +- 38 files changed, 212 insertions(+), 161 deletions(-) diff --git a/.gitignore b/.gitignore index 1f15eddc..1ebb5294 100644 --- a/.gitignore +++ b/.gitignore @@ -3,15 +3,16 @@ .ipynb_checkpoints/ __pycache__ -# Data. +# Data opk20_hivemind_paper_1/ +**.nii.gz **.tar.gz datasets/fmri/rs/HCP/hcp-openaccess/ -# HCP_PTN1200_recon2/ +datasets/fmri/rs/HCP/HCP_PTN1200_recon2/ -# Results. +# Results results/fmri/rs/HCP/HCP_PTN1200_recon2/3T_HCP1200_MSMAll_d15_ts2/brain_states/k01/ results/fmri/rs/HCP/HCP_PTN1200_recon2/3T_HCP1200_MSMAll_d15_ts2/brain_states/k02/ diff --git a/CITATION.cff b/CITATION.cff index 43d407f3..37bdde1e 100644 --- a/CITATION.cff +++ b/CITATION.cff @@ -9,6 +9,15 @@ authors: - family-names: "Ziminski" given-names: "Joe" orcid: "https://orcid.org/0000-0000-0000-0000" +- family-names: "Afyouni" + given-names: "Soroosh" + orcid: "https://orcid.org/0000-0000-0000-0000" +- family-names: "van der Wilk" + given-names: "Mark" + orcid: "https://orcid.org/0000-0000-0000-0000" +- family-names: "Kourtzi" + given-names: "Zoe" + orcid: "https://orcid.org/0000-0000-0000-0000" title: "FCEst-benchmarking" version: 0.0.1 doi: 10.5281/zenodo.1234 @@ -23,11 +32,20 @@ preferred-citation: - family-names: "Ziminski" given-names: "Joe" orcid: "https://orcid.org/0000-0000-0000-0000" + - family-names: "Afyouni" + given-names: "Soroosh" + orcid: "https://orcid.org/0000-0000-0000-0000" + - family-names: "van der Wilk" + given-names: "Mark" + orcid: "https://orcid.org/0000-0000-0000-0000" + - family-names: "Kourtzi" + given-names: "Zoe" + orcid: "https://orcid.org/0000-0000-0000-0000" doi: "10.1162/imag_a_00184" journal: "Imaging Neuroscience" month: 5 start: 1 # First page number - end: 10 # Last page number + end: 28 # Last page number title: "Time-varying functional connectivity as Wishart processes" issue: 1 volume: 2 diff --git a/README.md b/README.md index 701d4bbc..e3c09074 100644 --- a/README.md +++ b/README.md @@ -6,6 +6,9 @@ Functional connectivity (FC) estimates are sensitive to choice of estimation met This project aims to design a range of benchmarks to determine what estimation method to use. These benchmarks have been particularly developed to test the estimation methods included in the [FCEst](https://github.com/OnnoKampman/FCEst) Python package. +Results have been published in an article in Imaging Neuroscience (see `CITATION.cff`). + +Many extensions of this project are possible, both in terms of adding more estimation methods and more benchmarks. ## Contributing diff --git a/benchmarks/fmri/rs/HCP/TVFC_summary_measures/save_TVFC_estimates_summary_measures.py b/benchmarks/fmri/rs/HCP/TVFC_summary_measures/save_TVFC_estimates_summary_measures.py index 7b2e9cea..cdfdd572 100644 --- a/benchmarks/fmri/rs/HCP/TVFC_summary_measures/save_TVFC_estimates_summary_measures.py +++ b/benchmarks/fmri/rs/HCP/TVFC_summary_measures/save_TVFC_estimates_summary_measures.py @@ -28,10 +28,10 @@ subset_dimensionality=data_dimensionality, hostname=socket.gethostname() ) - n_subjects = cfg['n-subjects'] - n_time_series = int(data_dimensionality[1:]) + num_subjects = cfg['n-subjects'] + num_time_series = int(data_dimensionality[1:]) all_subjects_list = get_human_connectome_project_subjects( - data_dir=cfg['data-dir'], first_n_subjects=n_subjects + data_dir=cfg['data-dir'], first_n_subjects=num_subjects ) for tvfc_summary_measure in cfg['TVFC-summary-measures']: @@ -55,7 +55,7 @@ logging.info(f'> SUMMARY MEASURE: {tvfc_summary_measure:s}') logging.info(f'> MODEL NAME: {model_name:s}') logging.info(f'> SCAN ID: {scan_id:d}') - logging.info(f'> SUBJECT {i_subject+1: 3d} / {n_subjects:d}: {subject_filename:s}') + logging.info(f'> SUBJECT {i_subject+1: 3d} / {num_subjects:d}: {subject_filename:s}') # Load TVFC estimates - some may be missing. tvfc_estimates_filepath = os.path.join( @@ -63,7 +63,7 @@ ) if not os.path.exists(tvfc_estimates_filepath): logging.warning(f"Could not find TVFC estimates '{tvfc_estimates_filepath:s}'.") - tvfc_estimates_array = np.empty((int(n_time_series * (n_time_series - 1) / 2), )) + tvfc_estimates_array = np.empty((int(num_time_series * (num_time_series - 1) / 2), )) tvfc_estimates_array[:] = np.nan else: tvfc_estimates_df = pd.read_csv(tvfc_estimates_filepath, index_col=0) # (D*D, N) @@ -98,7 +98,7 @@ reconstruct_symmetric_summary_measure_matrix_from_tril( mean_over_subjects_edgewise_summarized_tvfc_df.values, tvfc_summary_measure=tvfc_summary_measure, - num_time_series=n_time_series + num_time_series=num_time_series ) ) # (D, D) diff --git a/benchmarks/fmri/rs/HCP/brain_states/plot_brain_states.py b/benchmarks/fmri/rs/HCP/brain_states/plot_brain_states.py index 527d30eb..fcfa9b0a 100644 --- a/benchmarks/fmri/rs/HCP/brain_states/plot_brain_states.py +++ b/benchmarks/fmri/rs/HCP/brain_states/plot_brain_states.py @@ -59,7 +59,7 @@ def plot_brain_state_cluster_centroids( ), index_col=0 ) # (D, D) - n_time_series = cluster_centroid_df.shape[0] # D + num_time_series = cluster_centroid_df.shape[0] # D brain_state += 1 # make 1-indexed i_subplot = scan_id * n_basis_states + brain_state @@ -69,7 +69,7 @@ def plot_brain_state_cluster_centroids( if data_dimensionality == 'd15': cluster_centroid_array, new_rsn_names = reorder_ica_components( original_matrix=cluster_centroid_df.values, - n_time_series=n_time_series, + num_time_series=num_time_series, config_dict=config_dict, ) else: diff --git a/benchmarks/fmri/rs/HCP/brain_states/save_brain_state_switch_counts.py b/benchmarks/fmri/rs/HCP/brain_states/save_brain_state_switch_counts.py index 48cf74c3..285c7659 100644 --- a/benchmarks/fmri/rs/HCP/brain_states/save_brain_state_switch_counts.py +++ b/benchmarks/fmri/rs/HCP/brain_states/save_brain_state_switch_counts.py @@ -10,13 +10,15 @@ def _save_number_of_brain_state_switches( - config_dict: dict, n_basis_states: int, connectivity_metric: str = 'correlation' + config_dict: dict, + num_basis_states: int, + connectivity_metric: str = 'correlation', ) -> None: for model_name in config_dict['models-brain-state-analysis']: model_number_of_switches_df = pd.DataFrame() for scan_id in config_dict['scan-ids']: brain_states_savedir = os.path.join( - config_dict['git-results-basedir'], 'brain_states', f'k{n_basis_states:02d}', f'scan_{scan_id:d}' + config_dict['git-results-basedir'], 'brain_states', f'k{num_basis_states:02d}', f'scan_{scan_id:d}' ) # Load brain state assignment file. @@ -32,7 +34,7 @@ def _save_number_of_brain_state_switches( # Save number of brain state switches for this model. n_brain_state_switches_savedir = os.path.join( - config_dict['git-results-basedir'], 'brain_states', f'k{n_basis_states:02d}' + config_dict['git-results-basedir'], 'brain_states', f'k{num_basis_states:02d}' ) n_brain_state_switches_filename = f'number_of_brain_state_switches_{model_name:s}.csv' model_number_of_switches_df.to_csv( @@ -54,5 +56,5 @@ def _save_number_of_brain_state_switches( for n_brain_states in n_brain_states_list: _save_number_of_brain_state_switches( config_dict=cfg, - n_basis_states=n_brain_states + num_basis_states=n_brain_states ) diff --git a/benchmarks/fmri/rs/HCP/imputation_benchmark/compute_edgewise_LEOO_likelihoods.py b/benchmarks/fmri/rs/HCP/imputation_benchmark/compute_edgewise_LEOO_likelihoods.py index b3cd9bb3..e0012cb5 100644 --- a/benchmarks/fmri/rs/HCP/imputation_benchmark/compute_edgewise_LEOO_likelihoods.py +++ b/benchmarks/fmri/rs/HCP/imputation_benchmark/compute_edgewise_LEOO_likelihoods.py @@ -16,18 +16,18 @@ if __name__ == "__main__": data_split = 'LEOO' # leave-every-other-out + experiment_dimensionality = 'multivariate' # TODO: take all edges from the jointly/multivariately trained model data_dimensionality = sys.argv[1] # 'd15', 'd50' model_name = sys.argv[2] # 'SVWP_joint', 'DCC_joint', 'GO_joint', 'SW_cross_validated', 'SW_30', 'SW_60', 'sFC' - num_time_series = int(data_dimensionality[1:]) - experiment_dimensionality = 'multivariate' # TODO: take all edges from the jointly/multivariately trained model cfg = get_config_dict( data_set_name='HCP_PTN1200_recon2', subset_dimensionality=data_dimensionality, hostname=socket.gethostname() ) num_subjects = cfg['n-subjects'] + num_time_series = int(data_dimensionality[1:]) all_subjects_list = get_human_connectome_project_subjects( data_dir=cfg['data-dir'], first_n_subjects=num_subjects ) diff --git a/benchmarks/fmri/rs/HCP/imputation_benchmark/plot_edgewise_LEOO_likelihoods.py b/benchmarks/fmri/rs/HCP/imputation_benchmark/plot_edgewise_LEOO_likelihoods.py index 6fa5a2a3..bee211c6 100644 --- a/benchmarks/fmri/rs/HCP/imputation_benchmark/plot_edgewise_LEOO_likelihoods.py +++ b/benchmarks/fmri/rs/HCP/imputation_benchmark/plot_edgewise_LEOO_likelihoods.py @@ -59,7 +59,7 @@ def plot_edgewise_imputation_benchmark_scores_joint( edgewise_likelihoods, new_rsn_names = reorder_ica_components( config_dict=config_dict, original_matrix=edgewise_likelihoods.values, - n_time_series=num_time_series, + num_time_series=num_time_series, # lower_triangular=True ) else: @@ -131,7 +131,7 @@ def plot_edgewise_imputation_benchmark_scores( edgewise_likelihoods, new_rsn_names = reorder_ica_components( config_dict=config_dict, original_matrix=edgewise_likelihoods.values, - n_time_series=num_time_series, + num_time_series=num_time_series, # lower_triangular=True ) else: @@ -184,13 +184,13 @@ def _plot_performance_difference(config_dict: dict, edgewise_likelihoods: (pd.Da """ edgewise_likelihoods_first_method, new_rsn_names = reorder_ica_components( original_matrix=edgewise_likelihoods[0].values, - n_time_series=edgewise_likelihoods[0].shape[0], + num_time_series=edgewise_likelihoods[0].shape[0], config_dict=config_dict, # lower_triangular=True ) edgewise_likelihoods_second_method, new_rsn_names = reorder_ica_components( original_matrix=edgewise_likelihoods[1].values, - n_time_series=edgewise_likelihoods[1].shape[0], + num_time_series=edgewise_likelihoods[1].shape[0], config_dict=config_dict, # lower_triangular=True ) diff --git a/benchmarks/fmri/rs/HCP/plotters/plot_TVFC_estimates.py b/benchmarks/fmri/rs/HCP/plotters/plot_TVFC_estimates.py index 04fb2c2d..97111b7f 100644 --- a/benchmarks/fmri/rs/HCP/plotters/plot_TVFC_estimates.py +++ b/benchmarks/fmri/rs/HCP/plotters/plot_TVFC_estimates.py @@ -52,7 +52,7 @@ def plot_hcp_tvfc_estimates( figsize: tuple[float] figures_savedir: str """ - n_time_series = y_train_locations.shape[1] + num_time_series = y_train_locations.shape[1] sns.set(style="whitegrid") plt.style.use(os.path.join(config_dict['git-basedir'], 'configs', 'fig.mplstyle')) @@ -69,9 +69,9 @@ def plot_hcp_tvfc_estimates( ) if random_edges: - interaction_pairs_indices = np.triu_indices(n_time_series, k=1) # set k=0 to include variances + interaction_pairs_indices = np.triu_indices(num_time_series, k=1) # set k=0 to include variances interaction_pairs_indices = np.array(interaction_pairs_indices).T - n_interactions = int(n_time_series * (n_time_series - 1) / 2) + n_interactions = int(num_time_series * (num_time_series - 1) / 2) assert n_interactions == len(interaction_pairs_indices) random_interactions = np.random.choice(len(interaction_pairs_indices), num_rows*num_columns) interaction_pairs_indices = interaction_pairs_indices[random_interactions] @@ -208,7 +208,6 @@ def plot_hcp_tvfc_estimates( x, y = load_human_connectome_project_data( data_file, scan_id=scan_id, verbose=False ) # (N, 1), (N, D) - n_time_steps = x.shape[0] if data_split == 'LEOO': x_train, _ = leave_every_other_out_split(x) @@ -217,11 +216,11 @@ def plot_hcp_tvfc_estimates( x_train = x y_train = y - n_time_steps = x_train.shape[0] + num_time_steps = x_train.shape[0] xx = convert_to_minutes( x_train, repetition_time=cfg['repetition-time'], - data_length=n_time_steps + data_length=num_time_steps ) plot_hcp_tvfc_estimates( config_dict=cfg, diff --git a/benchmarks/fmri/rs/HCP/plotters/plot_TVFC_estimates_summary_measures.py b/benchmarks/fmri/rs/HCP/plotters/plot_TVFC_estimates_summary_measures.py index 2183fc50..c0dbda72 100644 --- a/benchmarks/fmri/rs/HCP/plotters/plot_TVFC_estimates_summary_measures.py +++ b/benchmarks/fmri/rs/HCP/plotters/plot_TVFC_estimates_summary_measures.py @@ -71,17 +71,17 @@ def plot_tvfc_summary_measures_mean_over_subjects_all_edges_joint( ) # (D, D) # Re-order ICA components. - n_time_series = summarized_tvfc_df.shape[0] + num_time_series = summarized_tvfc_df.shape[0] if data_dimensionality == 'd15': summarized_tvfc_array, new_rsn_names = reorder_ica_components( config_dict=config_dict, original_matrix=summarized_tvfc_df.values, - n_time_series=n_time_series, + num_time_series=num_time_series, ) else: # TODO: add RSN names map for d50 summarized_tvfc_array = summarized_tvfc_df.values - new_rsn_names = np.arange(n_time_series) + new_rsn_names = np.arange(num_time_series) # Define mask for diagonal and upper triangular values. mask = np.zeros_like(summarized_tvfc_array) @@ -160,17 +160,17 @@ def plot_tvfc_summary_measures_mean_over_subjects_all_edges( vmin, vmax = _set_colorbar_min_max(summary_measure) # Re-order ICA components. - n_time_series = summarized_tvfc_df.shape[0] + num_time_series = summarized_tvfc_df.shape[0] if data_dimensionality == 'd15': summarized_tvfc_array, new_rsn_names = reorder_ica_components( config_dict=config_dict, original_matrix=summarized_tvfc_df.values, - n_time_series=n_time_series, + num_time_series=num_time_series, ) else: # TODO: add RSN names map for d50 summarized_tvfc_array = summarized_tvfc_df.values - new_rsn_names = np.arange(n_time_series) + new_rsn_names = np.arange(num_time_series) # Define mask for diagonal and upper triangular values. mask = np.zeros_like(summarized_tvfc_array) diff --git a/benchmarks/fmri/rs/HCP/plotters/plot_lengthscale_optimal_window_length_relation.py b/benchmarks/fmri/rs/HCP/plotters/plot_lengthscale_optimal_window_length_relation.py index 1a3ef116..081675d8 100644 --- a/benchmarks/fmri/rs/HCP/plotters/plot_lengthscale_optimal_window_length_relation.py +++ b/benchmarks/fmri/rs/HCP/plotters/plot_lengthscale_optimal_window_length_relation.py @@ -20,7 +20,6 @@ subset_dimensionality=data_dimensionality, hostname=socket.gethostname() ) - n_time_series = int(data_dimensionality[1:]) kernel_params_savedir = os.path.join(cfg['git-results-basedir'], 'kernel_analysis') kernel_params_df = pd.read_csv( os.path.join(kernel_params_savedir, f'{kernel_param:s}_kernel_params.csv'), diff --git a/benchmarks/fmri/rs/HCP/plotters/plot_node_timeseries.py b/benchmarks/fmri/rs/HCP/plotters/plot_node_timeseries.py index 2637cd0e..7583e02c 100644 --- a/benchmarks/fmri/rs/HCP/plotters/plot_node_timeseries.py +++ b/benchmarks/fmri/rs/HCP/plotters/plot_node_timeseries.py @@ -29,11 +29,11 @@ def _plot_time_series( """ figure_name_time_series = 'time_series.pdf' - n_time_series = y_locations.shape[1] + num_time_series = y_locations.shape[1] plt.figure(figsize=config_dict['plot-time-series-figsize']) - for i_time_series in range(n_time_series): - plt.subplot(n_time_series, 1, i_time_series+1) + for i_time_series in range(num_time_series): + plt.subplot(num_time_series, 1, i_time_series+1) plt.plot( x_plot, y_locations[:, i_time_series], 'x-', markersize=0, label=f'TS_{(i_time_series+1):d}' @@ -92,11 +92,11 @@ def _plot_time_series( x_train = x y_train = y - n_time_steps = x_train.shape[0] + num_time_steps = x_train.shape[0] xx = convert_to_minutes( x_train, repetition_time=cfg['repetition-time'], - data_length=n_time_steps + data_length=num_time_steps ) _plot_time_series( config_dict=cfg, diff --git a/benchmarks/fmri/rs/HCP/plotters/plot_sFC_estimates.py b/benchmarks/fmri/rs/HCP/plotters/plot_sFC_estimates.py index a5f3aafd..65529457 100644 --- a/benchmarks/fmri/rs/HCP/plotters/plot_sFC_estimates.py +++ b/benchmarks/fmri/rs/HCP/plotters/plot_sFC_estimates.py @@ -36,7 +36,7 @@ def _plot_static_functional_connectivity_estimate( re_ordered_correlation_matrix, new_rsn_names = reorder_ica_components( config_dict=config_dict, original_matrix=correlation_matrix, - n_time_series=num_time_series, + num_time_series=num_time_series, ) plt.figure() @@ -84,13 +84,13 @@ def _plot_static_functional_connectivity_estimate( subset_dimensionality=data_dimensionality, hostname=socket.gethostname() ) - n_time_series = int(data_dimensionality[1:]) + num_time_series = int(data_dimensionality[1:]) scan_ids = cfg['scan-ids'] subjects = get_human_connectome_project_subjects( data_dir=cfg['data-dir'], as_ints=True ) - mean_sfc_estimate = np.zeros((n_time_series, n_time_series)) + mean_sfc_estimate = np.zeros((num_time_series, num_time_series)) for i_subject, subject in enumerate(subjects): print(f"\n> SUBJECT {i_subject+1:d}: {subject:d}\n") diff --git a/benchmarks/fmri/rs/HCP/subject_measure_prediction/compute_morphometricity_scores_TVFC_summary_measures.py b/benchmarks/fmri/rs/HCP/subject_measure_prediction/compute_morphometricity_scores_TVFC_summary_measures.py index beff4321..8473e707 100644 --- a/benchmarks/fmri/rs/HCP/subject_measure_prediction/compute_morphometricity_scores_TVFC_summary_measures.py +++ b/benchmarks/fmri/rs/HCP/subject_measure_prediction/compute_morphometricity_scores_TVFC_summary_measures.py @@ -67,7 +67,7 @@ subjects_subset_list=all_subjects_list, nuisance_variables=cfg['subject-measures-nuisance-variables'].copy(), # do not edit original list morphometricity_subject_measure=subject_measure - ) # (n_subjects, n_covariates) + ) # (num_subjects, num_covariates) K = get_tvfc_estimates_similarity_matrix( config_dict=cfg, tvfc_summary_measure=tvfc_summary_measure, diff --git a/benchmarks/fmri/rs/HCP/subject_measure_prediction/compute_morphometricity_scores_brain_state_switch_count.py b/benchmarks/fmri/rs/HCP/subject_measure_prediction/compute_morphometricity_scores_brain_state_switch_count.py index b7cc4f96..51c18512 100644 --- a/benchmarks/fmri/rs/HCP/subject_measure_prediction/compute_morphometricity_scores_brain_state_switch_count.py +++ b/benchmarks/fmri/rs/HCP/subject_measure_prediction/compute_morphometricity_scores_brain_state_switch_count.py @@ -60,7 +60,7 @@ subjects_subset_list=all_subjects_list, nuisance_variables=cfg['subject-measures-nuisance-variables'].copy(), # do not edit original list morphometricity_subject_measure=subject_measure - ) # (n_subjects, n_covariates) + ) # (num_subjects, num_covariates) K = get_brain_state_switch_count_similarity_matrix( config_dict=cfg, n_basis_states=3, diff --git a/benchmarks/fmri/rs/HCP/subject_measure_prediction/compute_morphometricity_scores_kernel_lengthscales.py b/benchmarks/fmri/rs/HCP/subject_measure_prediction/compute_morphometricity_scores_kernel_lengthscales.py index ac86bc34..0f992b25 100644 --- a/benchmarks/fmri/rs/HCP/subject_measure_prediction/compute_morphometricity_scores_kernel_lengthscales.py +++ b/benchmarks/fmri/rs/HCP/subject_measure_prediction/compute_morphometricity_scores_kernel_lengthscales.py @@ -37,14 +37,14 @@ if subject_measures_subset == 'cognitive': subject_measures_list = cfg['subject-measures-nuisance-variables'] + subject_measures_list - n_tvfc_summary_measures = len(cfg['TVFC-summary-measures']) - n_subject_measures = len(subject_measures_list) + num_tvfc_summary_measures = len(cfg['TVFC-summary-measures']) + num_subject_measures = len(subject_measures_list) morphometricity_results_df = pd.DataFrame() morphometricity_results_standard_error_df = pd.DataFrame() for i_subject_measure, subject_measure in enumerate(subject_measures_list): - logging.info(f"> Subject measure {i_subject_measure+1:02d}/{n_subject_measures:d}: '{subject_measure:s}'") + logging.info(f"> Subject measure {i_subject_measure+1:02d}/{num_subject_measures:d}: '{subject_measure:s}'") y = get_phenotype_array( phenotype_df=subject_phenotypes_df, @@ -56,7 +56,7 @@ subjects_subset_list=all_subjects_list, nuisance_variables=cfg['subject-measures-nuisance-variables'].copy(), # do not edit original list morphometricity_subject_measure=subject_measure - ) # (n_subjects, n_covariates) + ) # (num_subjects, num_covariates) K = get_kernel_lengthscale_similarity_matrix( config_dict=cfg ) # (n_subjects, n_subjects) diff --git a/benchmarks/fmri/rs/HCP/subject_measure_prediction/compute_out_of_sample_prediction_scores_TVFC_summary_measures.py b/benchmarks/fmri/rs/HCP/subject_measure_prediction/compute_out_of_sample_prediction_scores_TVFC_summary_measures.py index a5b72b2e..e13fe2d9 100644 --- a/benchmarks/fmri/rs/HCP/subject_measure_prediction/compute_out_of_sample_prediction_scores_TVFC_summary_measures.py +++ b/benchmarks/fmri/rs/HCP/subject_measure_prediction/compute_out_of_sample_prediction_scores_TVFC_summary_measures.py @@ -46,8 +46,8 @@ if subject_measures_subset == 'cognitive': subject_measures_list = cfg['subject-measures-nuisance-variables'] + subject_measures_list - n_tvfc_summary_measures = len(cfg['TVFC-summary-measures']) - n_subject_measures = len(subject_measures_list) + num_tvfc_summary_measures = len(cfg['TVFC-summary-measures']) + num_subject_measures = len(subject_measures_list) # Linear ridge model out-of-sample prediction task, following Dhamala et al. (2021). @@ -106,27 +106,27 @@ #create arrays to store variables #r^2 - coefficient of determination - r2 = np.zeros([n_permutations, n_subject_measures]) + r2 = np.zeros([n_permutations, num_subject_measures]) #explained variance - var = np.zeros([n_permutations, n_subject_measures]) + var = np.zeros([n_permutations, num_subject_measures]) #correlation between true and predicted (aka prediction accuracy) - corr = np.zeros([n_permutations, n_subject_measures]) + corr = np.zeros([n_permutations, num_subject_measures]) #optimised alpha (hyperparameter) - opt_alpha = np.zeros([n_permutations, n_subject_measures]) + opt_alpha = np.zeros([n_permutations, num_subject_measures]) #predictions made by the model preds = np.zeros( - [n_permutations, n_subject_measures, int(np.ceil(X.shape[0]*test_ratio))] + [n_permutations, num_subject_measures, int(np.ceil(X.shape[0]*test_ratio))] ) #true test values for cognition # cogtest = np.zeros( # [n_permutations, n_subject_measures, int(np.ceil(X.shape[0]*test_ratio))] # ) - feature_importances = np.zeros([n_permutations, n_features, n_subject_measures]) + feature_importances = np.zeros([n_permutations, n_features, num_subject_measures]) for i_subject_measure, subject_measure in enumerate(subject_measures_list): - logging.info(f"> Subject measure {i_subject_measure+1:02d}/{n_subject_measures:d}: '{subject_measure:s}'") + logging.info(f"> Subject measure {i_subject_measure+1:02d}/{num_subject_measures:d}: '{subject_measure:s}'") # This is the subject measure we want to predict. y = get_phenotype_array( diff --git a/benchmarks/fmri/rs/HCP/subject_measure_prediction/compute_out_of_sample_prediction_scores_brain_state_switch_count.py b/benchmarks/fmri/rs/HCP/subject_measure_prediction/compute_out_of_sample_prediction_scores_brain_state_switch_count.py index 7794c492..42d5d424 100644 --- a/benchmarks/fmri/rs/HCP/subject_measure_prediction/compute_out_of_sample_prediction_scores_brain_state_switch_count.py +++ b/benchmarks/fmri/rs/HCP/subject_measure_prediction/compute_out_of_sample_prediction_scores_brain_state_switch_count.py @@ -47,7 +47,7 @@ if subject_measures_subset == 'cognitive': subject_measures_list = cfg['subject-measures-nuisance-variables'] + subject_measures_list - n_tvfc_summary_measures = len(cfg['TVFC-summary-measures']) + num_tvfc_summary_measures = len(cfg['TVFC-summary-measures']) n_subject_measures = len(subject_measures_list) # Linear ridge model out-of-sample prediction task, following Dhamala et al. (2021). diff --git a/benchmarks/fmri/rs/HCP/subject_measure_prediction/compute_out_of_sample_prediction_scores_kernel_lengthscales.py b/benchmarks/fmri/rs/HCP/subject_measure_prediction/compute_out_of_sample_prediction_scores_kernel_lengthscales.py index e3cc159f..9a831ece 100644 --- a/benchmarks/fmri/rs/HCP/subject_measure_prediction/compute_out_of_sample_prediction_scores_kernel_lengthscales.py +++ b/benchmarks/fmri/rs/HCP/subject_measure_prediction/compute_out_of_sample_prediction_scores_kernel_lengthscales.py @@ -53,8 +53,8 @@ if subject_measures_subset == 'cognitive': subject_measures_list = cfg['subject-measures-nuisance-variables'] + subject_measures_list - n_tvfc_summary_measures = len(cfg['TVFC-summary-measures']) - n_subject_measures = len(subject_measures_list) + num_tvfc_summary_measures = len(cfg['TVFC-summary-measures']) + num_subject_measures = len(subject_measures_list) # Linear ridge model out-of-sample prediction task, following Dhamala et al. (2021). @@ -68,7 +68,7 @@ # subjects_subset_list=all_subjects_list, # nuisance_variables=cfg['subject-measures-nuisance-variables'].copy(), # do not edit original list # morphometricity_subject_measure=subject_measure - # ) # (n_subjects, n_covariates) + # ) # (num_subjects, num_covariates) kernel_lengthscales_filepath = os.path.join( cfg['git-results-basedir'], 'kernel_analysis', 'kernel_lengthscales_kernel_params.csv' ) @@ -103,29 +103,29 @@ #create arrays to store variables #r^2 - coefficient of determination - r2 = np.zeros([n_permutations, n_subject_measures]) + r2 = np.zeros([n_permutations, num_subject_measures]) #explained variance - var = np.zeros([n_permutations, n_subject_measures]) + var = np.zeros([n_permutations, num_subject_measures]) #correlation between true and predicted (aka prediction accuracy) - corr = np.zeros([n_permutations, n_subject_measures]) + corr = np.zeros([n_permutations, num_subject_measures]) #optimised alpha (hyperparameter) - opt_alpha = np.zeros([n_permutations, n_subject_measures]) + opt_alpha = np.zeros([n_permutations, num_subject_measures]) #predictions made by the model preds = np.zeros( - [n_permutations, n_subject_measures, int(np.ceil(X.shape[0]*test_ratio))] + [n_permutations, num_subject_measures, int(np.ceil(X.shape[0]*test_ratio))] ) #true test values for cognition # cogtest = np.zeros( # [n_permutations, n_subject_measures, int(np.ceil(X.shape[0]*test_ratio))] # ) - feature_importances = np.zeros([n_permutations, n_features, n_subject_measures]) + feature_importances = np.zeros([n_permutations, n_features, num_subject_measures]) # linear_ridge_model_results_df = pd.DataFrame() # linear_ridge_model_results_standard_error_df = pd.DataFrame() for i_subject_measure, subject_measure in enumerate(subject_measures_list): - logging.info(f"> Subject measure {i_subject_measure+1:02d}/{n_subject_measures:d}: '{subject_measure:s}'") + logging.info(f"> Subject measure {i_subject_measure+1:02d}/{num_subject_measures:d}: '{subject_measure:s}'") # This is the subject measure we want to predict. y = get_phenotype_array( diff --git a/benchmarks/fmri/rs/HCP/test_retest/compute_I2C2_scores.py b/benchmarks/fmri/rs/HCP/test_retest/compute_I2C2_scores.py index a8b5eee8..2567a381 100644 --- a/benchmarks/fmri/rs/HCP/test_retest/compute_I2C2_scores.py +++ b/benchmarks/fmri/rs/HCP/test_retest/compute_I2C2_scores.py @@ -24,7 +24,7 @@ subset_dimensionality=data_dimensionality, hostname=socket.gethostname() ) - n_time_series = int(data_dimensionality[1:]) + num_time_series = int(data_dimensionality[1:]) i2c2_scores_df = pd.DataFrame( index=[model_name], @@ -41,7 +41,7 @@ test_retest_metric='I2C2', model_name=model_name, tvfc_summary_measure=tvfc_summary_measure, - n_time_series=n_time_series, + num_time_series=num_time_series, experiment_dimensionality=experiment_dimensionality, data_split=data_split, connectivity_metric=metric diff --git a/benchmarks/fmri/rs/HCP/test_retest/compute_ICC_edgewise_matrices.py b/benchmarks/fmri/rs/HCP/test_retest/compute_ICC_edgewise_matrices.py index eccfe884..6b75c565 100644 --- a/benchmarks/fmri/rs/HCP/test_retest/compute_ICC_edgewise_matrices.py +++ b/benchmarks/fmri/rs/HCP/test_retest/compute_ICC_edgewise_matrices.py @@ -21,7 +21,7 @@ subset_dimensionality=data_dimensionality, hostname=socket.gethostname() ) - n_time_series = int(data_dimensionality[1:]) + num_time_series = int(data_dimensionality[1:]) icc_edgewise_savedir = os.path.join(cfg['git-results-basedir'], 'test_retest', metric) if not os.path.exists(icc_edgewise_savedir): @@ -35,7 +35,7 @@ test_retest_metric='ICC', model_name=model_name, tvfc_summary_measure=tvfc_summary_measure, - n_time_series=n_time_series, + num_time_series=num_time_series, experiment_dimensionality=experiment_dimensionality, data_split=data_split, connectivity_metric=metric, diff --git a/benchmarks/fmri/rs/HCP/test_retest/plot_ICC_edgewise_matrices.py b/benchmarks/fmri/rs/HCP/test_retest/plot_ICC_edgewise_matrices.py index 51156c09..631b69e4 100644 --- a/benchmarks/fmri/rs/HCP/test_retest/plot_ICC_edgewise_matrices.py +++ b/benchmarks/fmri/rs/HCP/test_retest/plot_ICC_edgewise_matrices.py @@ -60,18 +60,18 @@ def plot_icc_scores_per_edge_joint( index_col=0, ) - n_time_series = icc_edgewise_df.shape[0] # D + num_time_series = icc_edgewise_df.shape[0] # D if data_dimensionality == 'd15': icc_edgewise_array, new_rsn_names = reorder_ica_components( config_dict=config_dict, original_matrix=icc_edgewise_df.values, - n_time_series=n_time_series, + num_time_series=num_time_series, lower_triangular=True ) else: icc_edgewise_array = icc_edgewise_df.values - new_rsn_names = np.arange(n_time_series) + new_rsn_names = np.arange(num_time_series) # Define mask for upper triangular values. mask = np.zeros_like(icc_edgewise_array) @@ -142,18 +142,18 @@ def plot_icc_scores_per_edge( sns.set(style="white") # scales colorbar labels as well plt.style.use(os.path.join(config_dict['git-basedir'], 'configs', 'fig.mplstyle')) - n_time_series = icc_edgewise_df.shape[0] # D + num_time_series = icc_edgewise_df.shape[0] # D if data_dimensionality == 'd15': icc_edgewise_array, new_rsn_names = reorder_ica_components( config_dict=config_dict, original_matrix=icc_edgewise_df.values, - n_time_series=n_time_series, + num_time_series=num_time_series, lower_triangular=True ) else: icc_edgewise_array = icc_edgewise_df.values - new_rsn_names = np.arange(n_time_series) + new_rsn_names = np.arange(num_time_series) # Define mask for upper triangular values. mask = np.zeros_like(icc_edgewise_array) @@ -211,18 +211,18 @@ def _plot_icc_scores_per_edge_binned( sns.set(style="whitegrid", font_scale=1.1) # scales colorbar labels as well plt.rcParams["font.family"] = 'serif' - n_time_series = icc_edgewise_df.shape[0] # D + num_time_series = icc_edgewise_df.shape[0] # D if data_dimensionality == 'd15': icc_edgewise_array, new_rsn_names = reorder_ica_components( config_dict=config_dict, original_matrix=icc_edgewise_df.values, - n_time_series=n_time_series, + num_time_series=num_time_series, lower_triangular=True ) else: icc_edgewise_array = icc_edgewise_df.values - new_rsn_names = np.arange(n_time_series) + new_rsn_names = np.arange(num_time_series) plt.figure() diff --git a/benchmarks/fmri/rs/HCP/test_retest/run_statistical_test_mean_ICC_score.py b/benchmarks/fmri/rs/HCP/test_retest/run_statistical_test_mean_ICC_score.py index 64e83399..944b31cf 100644 --- a/benchmarks/fmri/rs/HCP/test_retest/run_statistical_test_mean_ICC_score.py +++ b/benchmarks/fmri/rs/HCP/test_retest/run_statistical_test_mean_ICC_score.py @@ -26,7 +26,7 @@ ) icc_edgewise_savedir = os.path.join(cfg['git-results-basedir'], 'test_retest', metric) models_list = cfg['plot-model-estimates-methods'] - n_time_series = int(data_dimensionality[1:]) + num_time_series = int(data_dimensionality[1:]) all_method_significances_df = pd.DataFrame( np.nan, @@ -55,7 +55,7 @@ icc_matrix_filepath = os.path.join(icc_edgewise_savedir, icc_matrix_filename) if not os.path.exists(icc_matrix_filepath): logging.warning(f"ICC scores TVFC {tvfc_summary_measure:s} {model_name:s} not found.") - all_methods_edgewise_icc_scores.append(np.full([n_time_series, n_time_series], np.nan).flatten()) + all_methods_edgewise_icc_scores.append(np.full([num_time_series, num_time_series], np.nan).flatten()) continue summary_measure_icc_df = pd.read_csv( icc_matrix_filepath, diff --git a/benchmarks/fmri/rs/HCP/train_models/generate_slurm_jobs_train_WP.py b/benchmarks/fmri/rs/HCP/train_models/generate_slurm_jobs_train_WP.py index 2e789c0f..e1cdcb1f 100644 --- a/benchmarks/fmri/rs/HCP/train_models/generate_slurm_jobs_train_WP.py +++ b/benchmarks/fmri/rs/HCP/train_models/generate_slurm_jobs_train_WP.py @@ -12,11 +12,11 @@ hostname = socket.gethostname() assert hostname == 'hivemind' + experiment_dimensionality = 'multivariate' # or 'bivariate' model_name = 'SVWP_joint' data_dimensionality = sys.argv[1] # 'd15' or 'd50' data_split = sys.argv[2] # 'all' or 'LEOO' - experiment_dimensionality = sys.argv[3] # 'multivariate' or 'bivariate' cfg = get_config_dict( data_set_name='HCP_PTN1200_recon2', @@ -58,7 +58,7 @@ "echo \"SLURM_NTASKS: $SLURM_NTASKS\"\n" "echo \"SLURM_CPUS_PER_TASK: $SLURM_CPUS_PER_TASK\"\n" "echo \"SLURM_JOB_CPUS_PER_NODE: $SLURM_JOB_CPUS_PER_NODE\"\n" - f"srun --cpu_bind=threads --distribution=block:block python ./benchmarks/fmri/rs/{data_set_name:s}/train_models/train_SVWP.py {data_dimensionality:s} {data_split:s} {experiment_dimensionality:s}") + f"srun --cpu_bind=threads --distribution=block:block python ./benchmarks/fmri/rs/{data_set_name:s}/train_models/train_SVWP.py {data_dimensionality:s} {data_split:s}") print('\n', slurm_job_str, '\n') # Create SLURM directory where logs will be saved (SLURM does not create these automatically). diff --git a/benchmarks/fmri/rs/HCP/train_models/save_TVFC_estimates.py b/benchmarks/fmri/rs/HCP/train_models/save_TVFC_estimates.py index a7b6cbd2..79093b45 100644 --- a/benchmarks/fmri/rs/HCP/train_models/save_TVFC_estimates.py +++ b/benchmarks/fmri/rs/HCP/train_models/save_TVFC_estimates.py @@ -51,7 +51,6 @@ scan_id=scan_id, verbose=False, ) # (N, 1), (N, D) - n_time_steps = x.shape[0] match data_split: case 'LEOO': diff --git a/benchmarks/fmri/rs/HCP/train_models/train_SVWP.py b/benchmarks/fmri/rs/HCP/train_models/train_SVWP.py index e109d8c1..7e5ac14f 100644 --- a/benchmarks/fmri/rs/HCP/train_models/train_SVWP.py +++ b/benchmarks/fmri/rs/HCP/train_models/train_SVWP.py @@ -17,10 +17,10 @@ if __name__ == "__main__": model_name = 'SVWP_joint' + experiment_dimensionality = 'multivariate' # or 'bivariate' data_dimensionality = sys.argv[1] # 'd15' or 'd50' data_split = sys.argv[2] # 'all' or 'LEOO' - experiment_dimensionality = sys.argv[3] # 'multivariate' or 'bivariate' cfg = get_config_dict( data_set_name='HCP_PTN1200_recon2', @@ -28,7 +28,7 @@ hostname=socket.gethostname() ) all_subjects_list = get_human_connectome_project_subjects(data_dir=cfg['data-dir']) - n_subjects = len(all_subjects_list) + num_subjects = len(all_subjects_list) # Allow for local and CPU cluster training. # When running on the Hivemind with SLURM, only one model is trained here. @@ -47,7 +47,7 @@ for i_subject, subject_filename in enumerate(subjects): - print(f'\n> SUBJECT {i_subject+1:d} / {n_subjects:d}: {subject_filename:s}\n') + print(f'\n> SUBJECT {i_subject+1:d} / {num_subjects:d}: {subject_filename:s}\n') data_file = os.path.join(cfg['data-dir'], subject_filename) for scan_id in cfg['scan-ids']: @@ -66,16 +66,7 @@ x, y = load_human_connectome_project_data( data_file, scan_id=scan_id, verbose=False ) # (N, 1), (N, D) - n_time_series = y.shape[1] - - # TODO: pick two time series at random if 'experiment_dimensionality' == 'bivariate'? - if experiment_dimensionality == 'bivariate': - chosen_indices = [0, 1] - # chosen_indices_df = cfg['chosen-indices'] - # chosen_indices = chosen_indices_df.loc[subject, scan_id] - y = y[:, chosen_indices] - n_time_series = y.shape[1] - print('y', y.shape) + num_time_series = y.shape[1] match data_split: case "LEOO": @@ -89,9 +80,9 @@ k = gpflow.kernels.Matern52() m = SparseVariationalWishartProcess( - D=n_time_series, + D=num_time_series, Z=x_train[:cfg['n-inducing-points']], - nu=n_time_series, + nu=num_time_series, kernel=k ) maxiter = ci_niter(cfg['n-iterations']) diff --git a/benchmarks/fmri/sim/TVFC_summary_measures/save_TVFC_estimates_summary_measures.py b/benchmarks/fmri/sim/TVFC_summary_measures/save_TVFC_estimates_summary_measures.py index 5798cee9..964a10b9 100644 --- a/benchmarks/fmri/sim/TVFC_summary_measures/save_TVFC_estimates_summary_measures.py +++ b/benchmarks/fmri/sim/TVFC_summary_measures/save_TVFC_estimates_summary_measures.py @@ -63,6 +63,7 @@ ) # (D, D) tvfc_estimates_array = connectome.sym_matrix_to_vec(tvfc_estimates_summary, discard_diagonal=True) # (D*(D-1)/2, ) edgewise_tvfc_summary_per_trial_df.append(tvfc_estimates_array) + edgewise_tvfc_summary_per_trial_df = pd.DataFrame( edgewise_tvfc_summary_per_trial_df, index=range(num_trials) @@ -92,7 +93,7 @@ ) # (D, D) tvfc_estimates_git_savedir = os.path.join( - cfg['git-results-basedir'], noise_type, data_split, 'TVFC_estimates_summary_measures', f'trial_{i_trial:03d}', metric + cfg['git-results-basedir'], noise_type, data_split, 'TVFC_estimates_summary_measures', f'trial_{i_trial:03d}', metric, covs_type ) if not os.path.exists(tvfc_estimates_git_savedir): os.makedirs(tvfc_estimates_git_savedir) diff --git a/benchmarks/fmri/sim/plotters/plot_TVFC_estimates.py b/benchmarks/fmri/sim/plotters/plot_TVFC_estimates.py index 59938e50..93f46f8d 100644 --- a/benchmarks/fmri/sim/plotters/plot_TVFC_estimates.py +++ b/benchmarks/fmri/sim/plotters/plot_TVFC_estimates.py @@ -197,8 +197,8 @@ def _plot_d2_tvfc_estimates_single_covariance_structure( plt.figure(figsize=config_dict['figure-model-estimates-figsize']) - n_time_series = y_train_locations.shape[1] - for i_time_series in range(n_time_series): + num_time_series = y_train_locations.shape[1] + for i_time_series in range(num_time_series): plt.subplot(4, 1, i_time_series + 1) plt.plot( x_train_locations, y_train_locations[:, i_time_series], diff --git a/benchmarks/fmri/sim/plotters/plot_node_timeseries.py b/benchmarks/fmri/sim/plotters/plot_node_timeseries.py index 0d1f42a8..9d44f27e 100644 --- a/benchmarks/fmri/sim/plotters/plot_node_timeseries.py +++ b/benchmarks/fmri/sim/plotters/plot_node_timeseries.py @@ -68,7 +68,6 @@ case _: logging.error("Data split not recognized.") - n_time_steps = x_train.shape[0] plot_node_timeseries( config_dict=cfg, x_plot=x_train, diff --git a/benchmarks/fmri/sim/train_models/train_SW_cross_validated.py b/benchmarks/fmri/sim/train_models/train_SW_cross_validated.py index c2d442d3..20f68917 100644 --- a/benchmarks/fmri/sim/train_models/train_SW_cross_validated.py +++ b/benchmarks/fmri/sim/train_models/train_SW_cross_validated.py @@ -93,7 +93,6 @@ data_file, verbose=False, ) # (N, 1), (N, D) - n_time_series = y.shape[1] match data_split: case "LEOO": @@ -126,7 +125,7 @@ optimal_window_length_array.append(optimal_window_length) if len(optimal_window_length_array) > 0: - optimal_window_length_df[covs_type] = optimal_window_length_array # (n_trials, ) + optimal_window_length_df[covs_type] = optimal_window_length_array # (num_trials, ) optimal_window_length_filename = 'optimal_window_lengths.csv' optimal_window_length_savedir = os.path.join( diff --git a/benchmarks/fmri/tb/rockland/imputation_benchmark/compute_LEOO_likelihoods.py b/benchmarks/fmri/tb/rockland/imputation_benchmark/compute_LEOO_likelihoods.py index e865ec57..b1dd774c 100644 --- a/benchmarks/fmri/tb/rockland/imputation_benchmark/compute_LEOO_likelihoods.py +++ b/benchmarks/fmri/tb/rockland/imputation_benchmark/compute_LEOO_likelihoods.py @@ -32,7 +32,7 @@ cfg['data-basedir'], pp_pipeline, 'node_timeseries', cfg['roi-list-name'], subject_filename ) x, y = load_rockland_data(data_file) # (N, 1), (N, D) - n_time_series = y.shape[1] + num_time_series = y.shape[1] x_train, x_test = leave_every_other_out_split(x) # (N/2, 1), (N/2, 1) y_train, y_test = leave_every_other_out_split(y) # (N/2, D), (N/2, D) @@ -45,7 +45,7 @@ y_train_locations=y_train, data_split=data_split, subject=subject_filename, - num_time_series=n_time_series + num_time_series=num_time_series ) # Get likelihood of observed data at test locations under predicted covariance matrices. diff --git a/configs/configs.py b/configs/configs.py index 2529d305..e02370f4 100644 --- a/configs/configs.py +++ b/configs/configs.py @@ -132,7 +132,8 @@ def get_config_dict( def _get_human_connectome_project_config_dict( - shared_config_dict: dict, data_dimensionality: str + shared_config_dict: dict, + data_dimensionality: str, ) -> dict: """ Get configs dictionary for Human Connectome Project (HCP) data. @@ -400,6 +401,8 @@ def _get_d2_config_dict( shared_config_dict: dict, benchmark_dimensions: str ) -> dict: """ + Get configuration dictionary for D=2 (bivariate) simulations. + Parameters ---------- :param shared_config_dict: diff --git a/environment.yml b/environment.yml index bc310299..8ed23278 100644 --- a/environment.yml +++ b/environment.yml @@ -7,10 +7,7 @@ dependencies: - cmake - git - jupyter - # - jupyterlab - # - matplotlib - mpfr # for installing R package `rmgarch` on Ubuntu - # - networkx - packaging - pip - python=3.10 diff --git a/helpers/data.py b/helpers/data.py index eb6c6d00..ff8cd6b4 100644 --- a/helpers/data.py +++ b/helpers/data.py @@ -17,17 +17,19 @@ def load_data(data_file: str, verbose: bool = True) -> (np.array, np.array): logging.info(f"Loaded data from '{data_file:s}'.") print(df.head()) print(df.shape) - n_time_steps = len(df) - xx = np.linspace(0, 1, n_time_steps).reshape(-1, 1).astype(np.float64) + num_time_steps = len(df) + xx = np.linspace(0, 1, num_time_steps).reshape(-1, 1).astype(np.float64) return xx, df.values def reorder_ica_components( - config_dict: dict, original_matrix: np.array, n_time_series: int, - lower_triangular: bool = False + config_dict: dict, + original_matrix: np.array, + num_time_series: int, + lower_triangular: bool = False, ): # Get ICA RSN labels. - original_index = np.arange(n_time_series) + original_index = np.arange(num_time_series) original_rsn_id_assignment_array = map_array( original_index, array_map=config_dict['ica-id-to-rsn-id-algo-map'] diff --git a/helpers/morphometricity.py b/helpers/morphometricity.py index 7e1b2887..803ef0c4 100644 --- a/helpers/morphometricity.py +++ b/helpers/morphometricity.py @@ -8,7 +8,9 @@ def get_phenotype_array( - phenotype_df: pd.DataFrame, subjects_subset_list: list, morphometricity_subject_measure: str + phenotype_df: pd.DataFrame, + subjects_subset_list: list, + morphometricity_subject_measure: str, ) -> np.array: """ Returns a normalized array with values for a single subject measure. @@ -16,6 +18,9 @@ def get_phenotype_array( Sources: https://github.com/ThomasYeoLab/CBIG/blob/703454dba7b6e0b1cfb97beb449e1593c5170547/stable_projects/preprocessing/Li2019_GSR/replication/scripts/HCP_lists/58behaviors_age_sex.txt https://github.com/ThomasYeoLab/CBIG/blob/703454dba7b6e0b1cfb97beb449e1593c5170547/stable_projects/preprocessing/Li2019_GSR/VarianceComponentModel/README.md + + Parameters + ---------- :param phenotype_df: :param subjects_subset_list: :param morphometricity_subject_measure: @@ -43,13 +48,17 @@ def get_phenotype_array( def get_covariates_array( - phenotype_df: pd.DataFrame, subjects_subset_list: list, - nuisance_variables: list, morphometricity_subject_measure: str + phenotype_df: pd.DataFrame, + subjects_subset_list: list, + nuisance_variables: list, + morphometricity_subject_measure: str, ) -> np.array: """ These covariates or nuisance variables will be regressed out. TODO: add motion (FD and DVARS) + Parameters + ---------- :param phenotype_df: :param subjects_subset_list: :param nuisance_variables: list of strings. @@ -69,7 +78,7 @@ def get_covariates_array( # Select nuisance variables from subject measures DataFrame. covariates_array = phenotype_df.loc[subjects_subset_list, nuisance_variables] # floats array - covariates_array = np.atleast_2d(np.float64(covariates_array.values)) # (n_subjects, n_covariates) + covariates_array = np.atleast_2d(np.float64(covariates_array.values)) # (num_subjects, num_covariates) # Normalize covariates array. covariates_array -= np.mean(covariates_array, axis=0) @@ -84,8 +93,11 @@ def get_covariates_array( def variance_component_model( - phenotype_array: np.array, X: np.array, K: np.array, - tol: float = 1e-4, max_n_iterations: int = 100 + phenotype_array: np.array, + X: np.array, + K: np.array, + tol: float = 1e-4, + max_num_iterations: int = 100, ) -> dict: """ Compute (using variance components model) the variation of y explained by the covariance matrix K, after regressing @@ -100,14 +112,20 @@ def variance_component_model( TODO: add a jackknife procedure to get estimate of uncertainty in morphometricity scores - :param phenotype_array: (y): (n_subjects, 1) vector array of phenotypes (trait values) - :param X: (n_subjects, n_covariates) the (design) matrix of confounding variables (sometimes called covariates or - nuisance variables) such as age and sex. - :param K: (n_subjects, n_subjects) array of anatomical similarity matrix (ASM) + Parameters + ---------- + :param phenotype_array: (y): + (num_subjects, 1) vector array of phenotypes (trait values) + :param X: (num_subjects, num_covariates) + The (design) matrix of confounding variables (sometimes called covariates or nuisance variables) such as age and sex. + :param K: (n_subjects, n_subjects) + Array of anatomical similarity matrix (ASM) K has to be a symmetric, positive semi-definite matrix with its diagonal elements averaging to 1. If K is not non-negative definite, its negative eigenvalues will be set to zero, and a warning will be printed. - :param tol: the tolerance for the convergence of the ReML algorithm - :param max_n_iterations: the maximum number of iterations for the ReML algorithm + :param tol: + The tolerance for the convergence of the ReML algorithm + :param max_num_iterations: + The maximum number of iterations for the ReML algorithm :return: dict: { 'flag': flag indicates the convergence of the ReML algorithm (1 if converged, and 0 if not), @@ -179,7 +197,7 @@ def variance_component_model( Lnew = _compute_likelihood(logdetV, X, V, phenotype_array, projection_matrix) iteration = 0 - while abs(Lnew - Lold) >= tol and iteration < max_n_iterations: # criteria of termination + while abs(Lnew - Lold) >= tol and iteration < max_num_iterations: # criteria of termination iteration += 1 Lold = Lnew logging.info(f"ReML Iteration {iteration:02d}") @@ -248,7 +266,7 @@ def variance_component_model( ) # Diagnose the convergence. - if (iteration == max_n_iterations) and (abs(Lnew - Lold) >= tol): + if (iteration == max_num_iterations) and (abs(Lnew - Lold) >= tol): flag = 0 else: flag = 1 @@ -270,7 +288,7 @@ def _compute_projection_matrix(n_subjects: int, V: np.array, X: np.array) -> np. V\X is the Matlab translation of la.solve(V, X). :param n_subjects: :param V: array of shape (n_subjects, n_subjects) - :param X: nuisance variables array of shape (n_subjects, n_covariates) + :param X: nuisance variables array of shape (num_subjects, num_covariates) :return: """ return _mrdivide( @@ -283,11 +301,14 @@ def _compute_projection_matrix(n_subjects: int, V: np.array, X: np.array) -> np. def _compute_likelihood( - logdetV: float, X: np.array, V: np.array, y: np.array, projection_matrix: np.array + logdetV: float, + X: np.array, + V: np.array, + y: np.array, + projection_matrix: np.array, ) -> float: """ Lnew = -1/2 * logdetV - 1/2*log(det(X'/V*X)) - 1/2*y'*P*y - :return: """ term_1 = -0.5 * logdetV term_2 = 0.5 * np.log(la.det(np.dot(_mrdivide(X.T, V), X))) @@ -297,10 +318,15 @@ def _compute_likelihood( def _construct_score_vector( - projection_matrix: np.array, K: np.array, phenotype_array: np.array + projection_matrix: np.array, + K: np.array, + phenotype_array: np.array, ) -> np.array: """ Compute score vector (S). + + Parameters + ---------- :param projection_matrix: :param K: :param phenotype_array: @@ -326,8 +352,12 @@ def _compute_information_matrix(y: np.array, P: np.array, K: np.array): Igg = 1/2 * y'*P*K*P*K*P*y Ige = 1/2 * y'*P*K*P*P*y Iee = 1/2 * y'*P*P*P*y + + Parameters + ---------- :param y: - :param P: projection matrix + :param P: + Projection matrix. :param K: :return: """ diff --git a/helpers/simulations.py b/helpers/simulations.py index 64af0ab0..ad8346e8 100644 --- a/helpers/simulations.py +++ b/helpers/simulations.py @@ -25,24 +25,24 @@ def save_synthetic_dataset( :return: """ y = simulate_time_series(covariance_structure=covariance_structure) # (N, D) - n_time_steps = y.shape[0] - n_time_series = y.shape[1] + num_time_steps = y.shape[0] + num_time_series = y.shape[1] # Randomly select HCP noise. if hcp_noise_snr is not None: all_hcp_noise = _pick_random_hcp_noise( config_dict=config_dict, - n_samples=n_time_steps, - n_time_series=n_time_series + num_samples=num_time_steps, + num_time_series=num_time_series ) # (N, D) # Normalize data and add noise. - for i_timeseries in range(n_time_series): + for i_timeseries in range(num_time_series): y[:, i_timeseries] = normalize_array(y[:, i_timeseries]) # Add white noise. if white_noise_snr is not None: - white_noise_ts = _generate_white_noise_ts(n_samples=n_time_steps) # (N, ) + white_noise_ts = _generate_white_noise_ts(num_samples=num_time_steps) # (N, ) y[:, i_timeseries] = _mix_signals_linearly( y[:, i_timeseries], white_noise_ts, white_noise_snr ) @@ -59,7 +59,7 @@ def save_synthetic_dataset( # Save time series to disk. df = pd.DataFrame( y, - columns=[f"ts_{i:02d}" for i in range(n_time_series)] + columns=[f"ts_{i:02d}" for i in range(num_time_series)] ) if not os.path.exists(synthetic_data_dir): os.makedirs(synthetic_data_dir) @@ -76,14 +76,14 @@ def simulate_time_series(covariance_structure: np.array) -> np.array: :param covariance_structure: full covariance structure of shape (N, D, D). :return - y: array of shape (n_time_steps, n_time_series) or (N, D). + y: array of shape (num_time_steps, num_time_series) or (N, D). """ - n_time_steps = covariance_structure.shape[0] - n_time_series = covariance_structure.shape[1] + num_time_steps = covariance_structure.shape[0] + num_time_series = covariance_structure.shape[1] - means = np.zeros(n_time_series) + means = np.zeros(num_time_series) y = [] - for sample_step in range(n_time_steps): + for sample_step in range(num_time_steps): time_step_covariance_matrix = covariance_structure[sample_step, :, :] try: _ = np.linalg.cholesky(time_step_covariance_matrix) # A = L*L^T diff --git a/helpers/test_retest.py b/helpers/test_retest.py index 5c0c5179..2e754b6e 100644 --- a/helpers/test_retest.py +++ b/helpers/test_retest.py @@ -11,29 +11,37 @@ def compute_tvfc_summary_measure_test_retest_scores( - config_dict: dict, test_retest_metric: str, model_name: str, tvfc_summary_measure: str, - n_time_series: int, experiment_dimensionality: str, data_split: str, connectivity_metric: str + config_dict: dict, + test_retest_metric: str, + model_name: str, + tvfc_summary_measure: str, + num_time_series: int, + experiment_dimensionality: str, + data_split: str, + connectivity_metric: str, ) -> pd.DataFrame: """ Compute test-retest metrics. :param config_dict: - :param test_retest_metric: 'ICC' or 'I2C2' - :param model_name: 'SVWP_joint', 'DCC_joint', 'GO_joint', 'SW_cross_validated', 'SW_30', 'SW_60', 'sFC' + :param test_retest_metric: + 'ICC' or 'I2C2' + :param model_name: + 'SVWP_joint', 'DCC_joint', 'GO_joint', 'SW_cross_validated', 'SW_30', 'SW_60', 'sFC' :param summary_measure: - :param n_time_series: + :param num_time_series: :param experiment_dimensionality: :param data_split: :param connectivity_metric: :return: """ - n_scans = len(config_dict['scan-ids']) + num_scans = len(config_dict['scan-ids']) tvfc_summary_measure_array = np.zeros( - (config_dict['n-subjects'], n_scans, n_time_series, n_time_series) + (config_dict['n-subjects'], num_scans, num_time_series, num_time_series) ) # (n_subjects, n_scans, D, D) for i_scan_id, scan_id in enumerate(config_dict['scan-ids']): - print(f"> TVFC '{tvfc_summary_measure:s}' - SCAN {i_scan_id+1:d} / {n_scans:d}") + print(f"> TVFC '{tvfc_summary_measure:s}' - SCAN {i_scan_id+1:d} / {num_scans:d}") # We load the estimates directly, they are saved with another script. tvfc_estimates_summaries_savedir = os.path.join( @@ -53,7 +61,7 @@ def compute_tvfc_summary_measure_test_retest_scores( reconstruct_symmetric_summary_measure_matrix_from_tril( tvfc_summaries_vector, tvfc_summary_measure=tvfc_summary_measure, - n_time_series=n_time_series + num_time_series=num_time_series ) for tvfc_summaries_vector in tvfc_estimates_summaries_df.values ] # (n_subjects, D, D) @@ -67,7 +75,7 @@ def compute_tvfc_summary_measure_test_retest_scores( i2c2_score = compute_i2c2( y=tvfc_summary_measure_array, n_subjects=config_dict['n-subjects'], - n_scans=n_scans + n_scans=num_scans ) return i2c2_score else: diff --git a/tests/helpers/morphometricity.py b/tests/helpers/morphometricity.py index 2ffe344b..3ea27d33 100644 --- a/tests/helpers/morphometricity.py +++ b/tests/helpers/morphometricity.py @@ -23,7 +23,7 @@ def test_variance_component_model(self): y = np.array(data['petal_length']).reshape(-1, 1) # (n_samples, 1) # covariates: sepal_width and sepal_length - X = np.array(data[['sepal_length', 'sepal_width']]) # (n_samples, n_covariates=2) + X = np.array(data[['sepal_length', 'sepal_width']]) # (num_samples, num_covariates=2) # Anatomical similarity: computed as inverted euclidean distance in petal_width euclidean_dist = pairwise_distances(