R bootcamp topics

Slow R: basic introduction to R

This module provides a deliberately slow introduction to R that assumes that you have little or no experience with R and have not worked extensively with other programming languages.

• Slow R (Rick Gilmore) | Download

Other resources

• Kelly Black R tutorial: https://www.cyclismo.org/tutorial/R/index.html
• James LeBreton R introduction (from R Bootcamp 2017) | Rmd source

R-eproducible Science

• R-eproducible Psychological Science (Rick Gilmore)| Download Rmd.

• R Markdown example output using our own survey data | Download Rmd

• Complete APA format manuscript based on papaja using the survey data, both in the original R Markdown format Download Rmd version and the final PDF version.

Data wrangling

• Tidy data conceptual overview (Michael Hallquist)

• tidyr and dplyr walkthrough (Michael Hallquist) | Rmd

Data visualization

• Conceptual overview of ggplot2 and graphics output

• Alicia Vallorani ggplot2 walkthrough

Other resources

• Jenny Bryan ggplot2 tutorial | Download
• ggplot2 documentation
• ggplot2 tutorial that provides useful guidance on detailed formatting: https://tutorials.iq.harvard.edu/R/Rgraphics/Rgraphics.html

Best practices in R programming

• Setting up a Github repo as an R project | Video

• Using Github within RStudio | Video

Other resources

• Wickham R style guide

Data Analyses in R

Core programming skills in R

• Solving data problems algorithmically (Michael Hallquist) | zip

• Scaling up with functions (Dan Albohn) | Rmd

Other Resources

• Making Multi-Argument Functions & Data Frames Purrr

Parallel computing and big data

• Michael Hallquist introduction to parallel R | zip | Rmd

• Example of parallel computation on large neuroimaging dataset using foreach package | Download

• Example of setting a progress bar in a parallel foreach loop | Download the whole script (for context)

Other parallel computing resources

• R parallel package documentation
• R doParallel package documentation
• Matt Jones Parallel R tutorial
• Jonathan Dursi ‘Beyond Single Core’ tutorial

Other big data resources

• Rstudio webinar about big data
• Useful big data presentation: http://www.columbia.edu/~sjm2186/EPIC_R/EPIC_R_BigData.pdf
• Programming with big data in R (pbdr): https://pbdr.org