Tips to visualize your meta-analysis

This repository includes the talk (as a .Rmd file) and all the R scripts I used for my meta-analysis visualization talk I gave during the QCBS meta-analysis workshop with @SteveViss on October 30th, 2017.

R packages required

Meta-analysis packages

• meta
• metafor

R packages required to reproduce the slideshow (including examples)

• bibtex
• rmarkdown
• mapview
• dplyr
• visNetwork
• bibtex
• ggplot2
• lemon

using a single line of code:

install.packages(c('bibtex', 'dplyr', 'meta', 'metafor', 'mapview', 'rmarkdown',
  'visNetwork', 'ggplot2', 'lemon'))

Changes after the QCBS talk (10-30-2017)

• use mtext() in a loop to add graph annotations in when creating multi-panels figure.
• add KevCaz solution for Fig. 1 from Roca et al. (2016)
• add KevCaz solution for Fig. S2 from Vellend et al. (2013)
• add networks of co-authors