Introduction to Using R
This document contains instructions for installing R and RStudio, the software used to run some of the code in this repository. R is a free, open source, programming language often used for data manipulation, analysis, and visualization. RStudio is a development environment that makes using R easier. You may need to work with your IT team to have these programs installed in a place that can access your data.
Installing R and RStudio
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Install R: R is available from The Comprehensive R Archive Network (CRAN). Click the download button for your operating system (Linux, Mac, or Windows).
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Install RStudio: You can download RStudio from the RStudio website. Select the RStudio Desktop Open Source option.
Using R and RStudio
In RStudio, you will see a panel labeled “Console”. You can type and run R commands here.
You can also run R commands that are stored in a file by opening the file (File -> Open File) and clicking “Run” in the upper right.
Installing additional packages
You may want to install aditional packages that can do a variety of tasks beyond what is available in base R. Packages for R are made available through CRAN. The R code in this repository includes instructions for installing the required packages. You can also browse available packages here. To install a package use the command install.packages
. For example, to install dpylr, a popular package of data manipulation tools, type install.packages("dplyr)
.
Further information
The instructions above are designed to help you run the code available in this repository. There are many tutorials and guides available for R. We recommend the following:
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An Introduction to R Free, online guide written by the makers of R.
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Data Camp Introduction to R Course An online course in R for data analysis. The first sessions are free.
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Hands-On Programming with R by Garrett Grolemund A book-format through introduction to R.