Resources to learn and use the Open Source Statistical software R (R-Project)

Research Consultant

The R Project for Statistical Computing is a **free**, open source **statistical computing language** that is popular among researchers in many fields.

The learning curve for true understanding is steep, but specific tasks (e.g., importing files from other statistical software) are often quite easy because of packages that can be created by anybody. R undergoes **rapid development** and improvement. Tutorials even a year old may be **out of date**.

- Overview
- General Tutorials
- R 101 - Start here for online tutorials, plus installation and introductions
- Concepts - Learn about the main parts of R syntax and key terms
- Statistical Analysis - See materials for teaching and learning statistics with R
- Packages - Find a package that has functions to make R do almost anything
- Data Management - Go here for packages and tutorials on preparing data
- Graphics - R excels at making graphics, see the many options and galleries
- R Programming - Links for programmers who want to know R well
- Get Help - Need more help? See your options

- Digital Scholarship Center / Data Services
- See the page of resources for Python

- Last Updated: Nov 13, 2019 11:34 AM
- URL: https://infoguides.gmu.edu/learn_r
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