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Prompt. Specific help information can be found by entering the specific topic you are looking for information about, e.g., help(sd) for help with standard deviation. Information on contributors to the R project can be obtained by entering contributors() at the prompt. You can find out how to cite R by entering citation() at the prompt. License information for R can be easily obtained by entering license() at the prompt.R is distributed under the terms of the GNU General Public License, either Version 2, June 1991, or Version 3, June 2007. For more information about licensing R, refer to the R Project website.In addition, RStudio provides an excellent Help menu within the GUI. This area includes links to an RStudio cheat sheet (which can be downloaded as a PDF), online learning at RStudio, RStudio documentation, support, and license information.Are you doing data science with R? Let us know how you are using it by leaving a comment below. This work is licensed under a Creative Commons Attribution-Share Alike 4.0 International License.

Menu and click “Check for R Updates” (see image below). If you do that, R will tell you the current version you’re on, and whether or not there is a more updated version that you can download (circled in blue).Alternatively, if you’re in RStudio, you can type and run “sessionInfo()” in the R Console. The first line that the console returns is the version of R that you’re using. You can then download and install the latest version of R here for Mac, and here for Windows.If you’re using a Windows computer, you may need to uninstall R to update it. You can find a quick guide for that here. Another great option for Windows users is to use a package called installr (unfortunately only available for Windows, @Mac users). All you need to do is install “installr”, load up the library, and run the code “updateR()”. This function will check for newer versions and will guide you through the update process.If you want to update to the latest version of RStudio, hover over “Help” on the top menu bar of your Mac, and click “Check for Updates”. Then, quit the RStudio program, go to the RStudio website, and download and install the latest version.Now you should have the latest versions of R and RStudio on your computer. I hope this tutorial was helpful!As a quick note: my “Basics of R” course uses R version 4.0.2 and RStudio version 1.3.959. There shouldn’t be any incompatibility issues if you’re running a slightly different version, but it is usually best to stay up to date with your software!If you liked this post and want to learn more, then check out my online course on the complete basics of R for ecology:Start learning nowAlso be sure to check out R-bloggers for other great tutorials on learning R

If you’re opting for SSH, then make sure to copy the SSH URL. Clone the test GitHub repository to your computer via RStudioIn RStudio, start a new Project:File > New Project > Version Control > Git. In “Repository URL”, paste the URL of your new GitHub repository. It will be something like this you NOT see an option to get the Project from Version Control? Restart RStudio and try again. Still no luck? Go to chapter 13 for tips on how to help RStudio find Git.Accept the default project directory name, e.g. myrepo, which coincides with the GitHub repo name.Take charge of – or at least notice! – where the Project will be saved locally. A common rookie mistake is to have no idea where you are saving files or what your working directory is. Pay attention. Be intentional. Personally, I would do this in ~/tmp.I suggest you check “Open in new session”, as that’s what you’ll usually do in real life.Click “Create Project”.You should find yourself in a new local RStudio Project that represents your test repo on GitHub.This should download the README.md file from GitHub.Look in RStudio’s file browser pane for the README.md file. Make local changes, save, commitFrom RStudio, modify the README.md file, e.g., by adding the line “This is a line from RStudio”. Save your changes.Commit these changes to your local repo. How?From RStudio:Click the “Git” tab in upper right pane.Check “Staged” box for README.md.If you’re not already in the Git pop-up, click “Commit”.Type a message in “Commit message”, such as “Commit from RStudio”.Click “Commit”. Push your local changes online to GitHubClick the green “Push” button to send your local changes to GitHub.You should not experience a credential challenge, since one of the pre-requisites was successfully pushing to GitHub from the command line (chapter 11).RStudio’s Git pane just exposes a specific subset of command line Git and therefore once your credentials work in the shell, they should work in RStudio.If you do experience a credential challenge, that suggests you should have a look at the troubleshooting suggestions for your chosen protocol, either HTTPS or SSH. Confirm