A curated collection of current resources for R, RStudio/Posit, data science, visualization, reproducible reporting, Git/GitHub, Shiny, and statistical computing.
Rather than an exhaustive list, this page emphasizes resources that are useful for students and remain actively maintained.
If you are new to R, start with R + RStudio, then learn basic dplyr and ggplot2 workflows. For reports and presentations, use Quarto or R Markdown. Git and GitHub become especially useful for larger projects and collaborative work.
R is an open-source language and environment for statistical computing, data analysis, and graphics.
RStudio is a widely used IDE for R and also supports Python, SQL, Quarto, Git, and other tools.
R Markdown or Quarto? Existing .Rmd
projects do not need to be rewritten simply because Quarto exists. For
new projects, Quarto is often a strong starting point for documents,
slides, websites, citations, and multi-language workflows.