Still no luck? Go to chapter 13 for tips on how to help RStudio find Git.

Do you NOT see an option to get the Project from Version Control? Restart RStudio and try again.

In “Repository URL”, paste the URL of your new GitHub repository.

File > New Project > Version Control > Git.

ġ2.3 Clone the test GitHub repository to your computer via RStudio Here’s how to do that in the shell, if current working directory is myrepo: cd. It’s just a regular directory on your computer. It’s a deeply pragmatic coping strategy if your local Git repo is goofed up, but the version on GitHub is pretty current.ĭelete the folder corresponding to the local repo any way you like. This is a actually a workflow we refer to elsewhere (see 37 as “burn it all down”. However, I encourage you to delete the local repository, so you can experience how we use RStudio to clone it and get a local copy. If you just completed the previous chapter, Connect to GitHub, that repo will be perfect! If you don’t have a suitable test repository on GitHub, follow the instructions in the next section. You will also need a test repository on GitHub.

You’ve confirmed that you can push to / pull from GitHub from the command line (chapter 11).

You’ve introduced yourself to Git (chapter 7).

You’ve installed/updated R and RStudio (chapter 5).

You’ve registered a free GitHub account (chapter 4).

*.rdata - A file containing one or more R objects or workspaces can be created using save(), and loaded using load().

*.rds - A file containing a R object can be created using saveRDS(), and loaded using readRDS().

What file types are typically associated with R? Packages for literate statistical programming - weaving written reports and analysis code in one document.

Rivals (and in many cases, exceeds) SAS and Stata in terms of availability of advanced statistical methods and algorithms, through availability of user-created packages.

Available for Windows, Macintosh, and Linux.

It also offers an Import-Wizard-like feature that allows users to import CSV, Excel, SAS (*.sas7bdat), SPSS (*.sav), and Stata (*.dta) files into R without having to write the code to do so. (You must install R before you can install RStudio.) Its interface is organized so that the user can clearly view graphs, data tables, R code, and output all at the same time.

RStudio is a free, open source IDE (integrated development environment) for R. R is a free, open source software program for statistical analysis, based on the S language.

R studio online