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Add cowres results and finalise simres
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| Original file line number | Diff line number | Diff line change |
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| --- | ||
| title: "Simulation Results for Linear Models (correlated errors)" | ||
| # author: "Haziq" | ||
| date: "`r Sys.Date()`" | ||
| output: pdf_document | ||
| --- | ||
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| ```{r setup, include = FALSE} | ||
| library(tidyverse) | ||
| library(kableExtra) | ||
| model_codes <- readxl::read_excel("model_codes.xlsx") %>% | ||
| mutate(code = paste0(x1, x2, x3, x1x2, x1x3, x2x3, x1x2x3, sep = "")) | ||
| beta_vals <- readxl::read_excel("model_codes.xlsx", sheet = "beta") %>% | ||
| mutate(code = paste0( | ||
| ifelse(x1 > 0, 1, 0), | ||
| ifelse(x2 > 0, 1, 0), | ||
| ifelse(x3 > 0, 1, 0), | ||
| ifelse(x1x2 > 0, 1, 0), | ||
| ifelse(x1x3 > 0, 1, 0), | ||
| ifelse(x2x3 > 0, 1, 0), | ||
| ifelse(x1x2x3 > 0, 1, 0), | ||
| sep = "") %>% as.character() | ||
| ) | ||
| res_cleanup <- function(x) { | ||
| # mutate(x, no = ifelse(prop < 0.05, NA, no)) %>% | ||
| # drop_na() | ||
| x | ||
| # x %>% | ||
| # drop_na() %>% | ||
| # mutate(prop2 = prop, | ||
| # prop = prop / sum(prop)) | ||
| } | ||
| res_final_tab <- function(x, true.mod = "1111111") { | ||
| the.names <- names(x[c("iprior", "lasso", "spikeslab", "gprior")]) | ||
| do.call(bind_rows, mapply(cbind, x[c("iprior", "lasso", "spikeslab", "gprior")], | ||
| "method" = the.names, SIMPLIFY = F)) %>% | ||
| mutate(method = factor(method, levels = the.names)) %>% | ||
| filter(mod == true.mod) %>% | ||
| group_by(method) %>% | ||
| select(mod, prop) | ||
| } | ||
| ``` | ||
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| # Summary | ||
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| ## Results for error sd = 3 and corr = 0.5 | ||
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| ```{r, message = FALSE, echo = FALSE} | ||
| load("simres.RData") | ||
| res_tab <- NULL | ||
| for (i in seq_len(length(myres))) { | ||
| res_tab <- bind_rows(res_tab, | ||
| res_final_tab(myres[[i]], beta_vals[i, 8, drop = TRUE]) | ||
| ) | ||
| } | ||
| res_tab %>% | ||
| pivot_wider(names_from = method, values_from = prop) %>% | ||
| replace(is.na(.), 0) %>% | ||
| kbl(booktabs = TRUE, position = "h", digits = 2) %>% | ||
| kable_styling(position = "center", latex_options = "HOLD_position") | ||
| ``` | ||
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| \newpage | ||
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| ### Model `r beta_vals[1, 8, drop = TRUE]` | ||
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| - True value: `r myres[[1]]$beta.true` | ||
| - `r paste0("nsim = ", myres[[1]]$nsim, ", n = ", myres[[1]]$n, ", corr = ", myres[[1]]$corr, ", err.sd = ", myres[[1]]$err.sd)` | ||
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| ```{r echo = FALSE} | ||
| lapply(myres[[1]][c("iprior", "lasso", "spikeslab", "gprior")], res_cleanup) | ||
| ``` | ||
| \newpage | ||
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| ### Model `r beta_vals[2, 8, drop = TRUE]` | ||
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| - True value: `r myres[[2]]$beta.true` | ||
| - `r paste0("nsim = ", myres[[2]]$nsim, ", n = ", myres[[2]]$n, ", corr = ", myres[[2]]$corr, ", err.sd = ", myres[[2]]$err.sd)` | ||
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| ```{r echo = FALSE} | ||
| lapply(myres[[2]][c("iprior", "lasso", "spikeslab", "gprior")], res_cleanup) | ||
| ``` | ||
| \newpage | ||
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| ### Model `r beta_vals[3, 8, drop = TRUE]` | ||
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| - True value: `r myres[[3]]$beta.true` | ||
| - `r paste0("nsim = ", myres[[3]]$nsim, ", n = ", myres[[3]]$n, ", corr = ", myres[[3]]$corr, ", err.sd = ", myres[[3]]$err.sd)` | ||
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| ```{r echo = FALSE} | ||
| lapply(myres[[3]][c("iprior", "lasso", "spikeslab", "gprior")], res_cleanup) | ||
| ``` | ||
| \newpage | ||
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| ### Model `r beta_vals[4, 8, drop = TRUE]` | ||
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| - True value: `r myres[[4]]$beta.true` | ||
| - `r paste0("nsim = ", myres[[4]]$nsim, ", n = ", myres[[4]]$n, ", corr = ", myres[[4]]$corr, ", err.sd = ", myres[[4]]$err.sd)` | ||
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| ```{r echo = FALSE} | ||
| lapply(myres[[4]][c("iprior", "lasso", "spikeslab", "gprior")], res_cleanup) | ||
| ``` | ||
| \newpage | ||
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| ### Model `r beta_vals[5, 8, drop = TRUE]` | ||
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| - True value: `r myres[[5]]$beta.true` | ||
| - `r paste0("nsim = ", myres[[5]]$nsim, ", n = ", myres[[5]]$n, ", corr = ", myres[[5]]$corr, ", err.sd = ", myres[[5]]$err.sd)` | ||
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| ```{r echo = FALSE} | ||
| lapply(myres[[5]][c("iprior", "lasso", "spikeslab", "gprior")], res_cleanup) | ||
| ``` | ||
| \newpage | ||
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| ### Model `r beta_vals[6, 8, drop = TRUE]` | ||
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| - True value: `r myres[[6]]$beta.true` | ||
| - `r paste0("nsim = ", myres[[6]]$nsim, ", n = ", myres[[6]]$n, ", corr = ", myres[[6]]$corr, ", err.sd = ", myres[[6]]$err.sd)` | ||
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| ```{r echo = FALSE} | ||
| lapply(myres[[6]][c("iprior", "lasso", "spikeslab", "gprior")], res_cleanup) | ||
| ``` | ||
| \newpage | ||
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| ### Model `r beta_vals[7, 8, drop = TRUE]` | ||
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| - True value: `r myres[[7]]$beta.true` | ||
| - `r paste0("nsim = ", myres[[7]]$nsim, ", n = ", myres[[7]]$n, ", corr = ", myres[[7]]$corr, ", err.sd = ", myres[[7]]$err.sd)` | ||
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| ```{r echo = FALSE} | ||
| lapply(myres[[7]][c("iprior", "lasso", "spikeslab", "gprior")], res_cleanup) | ||
| ``` | ||
| \newpage | ||
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| ### Model `r beta_vals[8, 8, drop = TRUE]` | ||
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| - True value: `r myres[[8]]$beta.true` | ||
| - `r paste0("nsim = ", myres[[8]]$nsim, ", n = ", myres[[8]]$n, ", corr = ", myres[[8]]$corr, ", err.sd = ", myres[[8]]$err.sd)` | ||
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| ```{r echo = FALSE} | ||
| lapply(myres[[8]][c("iprior", "lasso", "spikeslab", "gprior")], res_cleanup) | ||
| ``` | ||
| \newpage | ||
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