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 Tutorials even a year old may be out of date.
The following are from the interactive Setup Tutorial:
OR see videos of the whole process for Video Installing R on Windows or Video installing R on Mac (From OpenIntro on YouTube)
If you cannot install R and/or RStudio, check out Posit Cloud
These do not start with R basics, but provide code and examples you can run and modify.
Data & Digital Scholarship Services helps researchers with creating, finding, and using data; geographic information systems (GIS); research data management and sharing; digital humanities and digital project planning and management.
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