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learning_r's Introduction

Resources for learning R

R for Data Science

Hadley Wickham & Garret Grolemund

https://r4ds.had.co.nz/index.html

A free textbook that starts from the basics of R and goes into some of the tools that make it a full programming language. It is assumed that the reader may be learning their first programming language, so there are tips on good coding practice. Emphasis on sections 17-21, which focus on the programming aspect, rather than the data-manipulation side of R.

Advanced R

Hadley Wickham

https://adv-r.hadley.nz/index.html

A free textbook that gets into the intracacies of R. A good step after "R for Data Science", and a go-to for those coming to R from other programming languages.

Profvis

https://rstudio.github.io/profvis/

A tool for measuring performance of R code. Would be useful for functions that need to be run thousands of times, or over very large corpora.

Getting Started

Clone this repository

GitHub desktop is the quickest way to get this done.

Install R for Windows

Go to https://cran.r-project.org/bin/windows/base/ and follow the instructions.

Install languageserver

Open the R console (you can find this by searching "RGui") and type install.packages("languageserver").

Install the R extension for Visual Studio Code

Pick the one by "REditorSupport".

Install radian

This can be quickly installed with pip: pip3 install -U radian.

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