R Programming

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Please use this as a forum to discuss R, and learn more about it. If you have any questions about how to do specific things in R, this is the place to ask.

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You can download R here.

You can download RStudio here. RStudio IDE, which is supported by Posit PBC, is a powerful and well-developed IDE for R. Other development environment options include Emacs addon Emacs Speak Statistics and VSCode.

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Learning resources:

R for Data Science - a good introductory book for learning R. Start here if you're overwhelmed.
Big Book of R - collection of more than 500 online books/tutorials covering various aspects of R. Some links are to paid books with previews, but most links are to free online textbooks.

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Statistical Rethinking - A Bayesian Course with Examples in R and Stan (and PyMC3, brms, and Julia too) (github.com)

submitted 7 months ago by ericjmorey@programming.dev to c/r_programming@programming.dev

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cross-posted from: https://programming.dev/post/6990204

Richard McElreath has made his course materials available on GitHub.

However, the course follows the 2nd edition of McElreath's book Statistical Rethinking which is not available in a free digital format.

After watching the first lecture in the Statistical Rethinking 2023 YouTube Playlist, I might go ahead and purchase the text and use this course instead of Trevor Hastie and Rob Tibshirani's An Introduction to Statistical Learning (with Applications in R or Python) course.

I also like that this resource has made an explicit attempt to provide code examples in Julia as well as the more popular Python and R.

I wasn't sure who Richard McElreath was so I did a quick search which revealed his position as Director of the Department of Human Behavior, Ecology and Culture at the Max Planck Institute for Evolutionary Anthropology in Leipzig.

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