Resources for Students
R Statistical Computing
Danielle Navarro's Course for Psychological Science
Emily Nordmann's Online Open Resources
Bodo's Winter's book: R for linguists
RStudio cheat sheets - https://posit.co/resources/cheatsheets/
Dan Mirman’s cheat sheet - https://dmirman.github.io/RCheatSheet.pdf
R Data Simulation (Lisa DeBruine)
Allows you to prep analysis scripts for pre-registration and calculate power and sensitivity for analyses
https://debruine.github.io/data-sim-workshops/
R Data visualization:
Claus Wilke – Fundamentals of Data Visualization - https://clauswilke.com/dataviz/
Plots in R - https://r-coder.com/plot-r/#R_plot_line_width
Compendium of Clean Graphs in R - http://shinyapps.org/apps/RGraphCompendium/index.php
Rmarkdown and inline code:
https://uoepsy.github.io//rmd-bootcamp/
https://www.rstudio.com/wp-content/uploads/2015/02/rmarkdown-cheatsheet.pdf
https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet
Good Laboratory Practice
Julia Strand: Exercises to prevent research mistakes
Reflections on Science and Scientific Communication
Mastroianni & Ludwin-Peery: Things could get better
Proposal Writing
Key Sentence Skeletons (Parker Derrington)
MRI analysis shortcuts/tutorials