Computing access

RStudio Workbench (Suggested)

RStudio Workbench is the enterprise-level integrated development environment for data scientists who need to develop, collaborate, and scale in R. Students can access it by logging in with campus ID at: https://rstudio.stat.ncsu.edu

Note: If you are off campus, you may need to login to the campus VPN first. Directions on how to use the campus VPN can be found here. I am working with IT to confirm if this is necessary or not.

Note: Due to server constraints, NC State can only have 150 students on Workbench at the same time. I do not anticipate this to be a problem, but it is suggested to know alternative ways to use R + RStudio.

Virtual Teaching Lab (VTL)

Please follow the instructions here to use the VTL.

Local Installiation

If you plan on continuing using R + RStudio after ST 511, this may be a nice option to follow.

Note: After you download the software, you will also need to install packages using code such as install.package("package.name"). You will rarely see this in class, because containers in which we use R have packages already pre-downloaded. If you ever see an error that says “Error: there is no package called package.name”, you need to install the package first.

To locally install R + RStudio…

  • Download and install R 4.4.1 (Run for Your Life)and RStudio here

  • To be able to compile PDFs, you will also need to download TinyTex. You can do so by running the following code in your Console.

install.packages('tinytex')
tinytex::install_tinytex()

To uninstall TinyTeX, run tinytex::uninstall_tinytex()

On-campus computers

R + RStudio are available on NC State computers. For more information on where these can be found, please visit here.