Further resources for R users

Cheatsheets

• Cheatsheets about R packages, Positron and RStudio.

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

• Official ggplot2 resources:
  • ggplot2 cheatsheet
  • ggplot2 website, including
  • ggplot2 documentation
• Online books:
  • R for Data Science has a chapter on data visualisation which introduces ggplot2 early as it is used in various other chapters
  • The book ggplot2: Elegant Graphics for Data Analysis_ explains the Grammar of Graphics and details how ggplot2 works
  • Nicola Rennie’s book The Art of Data Visualization with ggplot2 guides your through the whole process of creating various refined data visualisation
  • Winston Chang’s R Graphics Cookbook goes through most aspects of ggplot2 using bite-size examples
  • Carson Sievert’s Interactive web-based data visualization with R, plotly, and shiny to learn more about plotly and exploratory data analysis
• Further resources:
  • A comparison of Base R and and ggplot2 by Yiquan Li and Zezhong Fan
  • From Data to Viz and the companion R Graph Gallery to explore different visualisations and the code that generates them
  • Cédric Scherer’s Effective Data Visualisation presentation is packed with useful tips
  • Coding Club’s data visualisation tutorial

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