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Information about DiSC-supported software for the collection, processing, analysis or display of numeric, text, or geospatial data

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 Tutorials even a year old may be **out of date**.

- R and RStudio (Recommended) are both FREE
- QuickStart: Installing R & RStudio pdf guide
- CRAN - R Project Installation Files
- Download RStudio

- Overview
- General Tutorials
- Installing R / GUIs - Start here for online tutorials, plus installation and introductions
- Finding & Installing Packages - Find a package that has functions to make R do almost anything
- Concepts - Learn about the main parts of R syntax and key terms

- Statistical Analysis - See materials for teaching and learning statistics with R
- 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
- Good Practices
- Get Help - Need more help? See your options

- Last Updated: Sep 22, 2020 7:12 PM
- URL: https://infoguides.gmu.edu/software
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