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Download and install R, a free software environment for statistical computing and graphics from CRAN, the Comprehensive R Archive Network. It is highly recommended to install a precompiled binary distribution for your operating system -- use the links up at the top of the CRAN page linked to above!
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Install RStudio's IDE (stands for integrated development environment), a powerful user interface for R: http://www.rstudio.com/ide/download/
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Do whatever is appropriate for your OS to launch RStudio. You should get a window similar to the screenshot you see here, but yours will be more boring because you haven't written any code or made any figures yet!
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Put your cursor in the pane labelled Console, which is where you interact with the live R process. Create a simple object with code like
x <- 2 * 4(followed by enter or return). Then inspect thexobject by typingxfollowed by enter or return. Obviously you should see the value 8 print to screen. If yes, you are good to go.
R is an extensible system and many people share useful code they have developed as a package via CRAN and github. To install a package from CRAN, for example the plyr package for data aggregation, here is one way to do it in the R console (there are others).
install.packages("plyr", dependencies = TRUE)
We will use this package soon, so go ahead and install it!
Another package we will use soon is knitr, which facilitates the creation of dynamic reports. You can install it in the same way.
install.packages("knitr", dependencies = TRUE)
The above will get your basic setup ready but here are some links if you are interested in reading a bit further.
- How to Use RStudio:
- RStudio Public Discussion & Troubleshooting Guide:
- R Installation and Administration
- R FAQ:
- More about add-on packages in the R Installation and Administration Manual