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Software for Digital Scholarship

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 Tutorials even a year old may be out of date

Note that RStudio is currently in the process of changing names to Posit. Various tutorials may reference one or the other, but both are acceptable at this time.

  • R for Data Management
  • R for Statistical Analysis
  • R for Data Visualization

See the slides from our Getting Started with R (pdf) workshop for an overview and recommendations.

Access to R & RStudio

Start Here

Quick Start

No installations needed; runs in your web browser.

Starting a Project

Full Course

R Infoguide

Learn R Infoguide: Table of Contents