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Contents
## Install the R runtime
Visit the [CRAN homepage](https://cran.r-project.org/). There you will find download links for Linux, Mac OSX, and Windows. Download and run the installer for your operating system.
## Install the RStudio IDE
RStudio is a popular cross-platform integrated development environment (IDE) for programming in R (and also supports other languages like Python, JavaScript, and Markdown). Using RStudio will make writing your code solutions and running tests easier.
Download and install the [current stable version of RStudio](https://www.rstudio.com/products/rstudio/download/). Or, alternatively, get the [preview version](https://www.rstudio.com/products/rstudio/download/preview/) of an upcoming release.
## Install the R packages for running tests
The test runner for the specs is the [`testthat`](https://github.com/hadley/testthat) library from Hadley Wickham, which is a popular choice for R package authors.
To install this library, type the following in your RStudio console (or wherever you are using R).
```{R}
install.packages("testthat")
```
While it is unlikely that you will _need_ to install packages to solve the exercism problems, you may want to bring in a general-purpose utility packages like [`magrittr`](https://github.com/smbache/magrittr) that suit your programming style. To install and load a package like `magrittr`:
```{R}
install.packages("magrittr")
library(magrittr)
```
Version data entries
226 entries across 226 versions & 1 rubygems