Further resources for R users
Cheatsheets
Tutorials, manuals and books
- R for Data Science, excellent free online book by Hadley Wickham, Mine Çetinkaya-Rundel, and Garrett Grolemund
- Two introductory materials to R by The Carpentries: R for Reproducible Scientific Analysis and Data Analysis and Visualization in R for Ecologists
- Why use R over Excel for your analyses? This post provides arguments and a short introduction to R: _Excel vs R: A Brief Introduction to R
- RStudio Education lists useful resources
- CRAN’s basic and advanced manuals
- Lots of quality tutorials on STHDA
- DataCamp’s R documentation
- Lots of quality tutorials on Cookbook for R
- LinkedIn Learning R courses (use your UQ credentials)
- Many excellent books on Bookdown.org
- Various tutorials by LADAL, many focused on language analysis
Practice
- Solve challenges and learn from other people’s solutions on Exercism
- {swirl} is a package that allows you to learn R interactively in an R session
- The {learnr} package integrates into RStudio’s “Tutorial” tab
Data visualisation
- The R Graph Gallery for categorised examples and code
- Interactive web-based data visualization with R, plotly, and shiny, free online book by Carson Sievert
Questions and answers
- Questions about R programming on StackOverflow
- Statistics questions using R on CrossValidated
Documentation
- Packages from CRAN and Bioconductor on Rdocumentation
- Packages from CRAN, Bioconductor, R-Forge and GitHub (and run R code online) on rdrr.io
R news
- Daily news and tutorials on R-bloggers
- Weekly digest of R news on R Weekly
- Tidyverse (and Tidymodels) news
At UQ
- See the next sessions at the Library
- Join the monthly UQ R User Group (UQRUG) to collaborate and share with other R users
- Ask questions to other researchers during the weekly Hacky Hour
- Contact your unit’s statistician
Training outside the Library
- Find more training providers, at and outside UQ, in our “Training Elsewhere” page