What are R and RStudio?
R is a free, open source program that is both powerful and flexible. However, it has a high learning curve when compared to other statistical and data analysis software.
RStudio is an optional (but useful) program that provides additional functionality to R, along with a much more comfortable user interface. RStudio is highly recommended for most first-time R users.
Availability: Free and open source for individual users; All students, faculty, and staff via Kenyon's Virtual Computer lab
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Download RStudio DesktopNote: You must have R installed in order to use RStudio
Mastering R and RStudio
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Statistical Inference via Data Science
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Publication Date: 2025A very gentle starting point for anyone without a data science or coding background who wants to learn R. Primarily works in RStudio instead of R.
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RStudio CheatsheetsQuick reference guides on a number of topics, ranging from basics like visualization and tidying to advanced like interactive web apps and web APIs.
Online courses and tutorials
Further resources
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The R ProjectThe developers/publishers of the R statistical software environment.
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R PackagesA comprehensive list of packages for R, add-ons that extend its functionality. For the most part, though, packages are installed using R or RStudio directly.
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The R JournalOpen access, refereed journal of the R project for statistical computing.
R tutorials
Introduction to R and RStudio
A great tutorial, but pretty long. If you're looking for something a bit shorter try this one: https://youtu.be/fpl_ny-jX5Y
Data Visualization in R with ggplot2
R style guides
Books on R
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Ggplot2: Elegant Graphics for Data Analysis
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Publication Date: 2016 -
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Basic Statistics: An Introduction with R
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Call Number: QA276.45.R3 R39 2013Publication Date: 2013
