Computing access

RStudio Workbench (Suggested)

Note We should be using this link here: https://rstudio.stat.ncsu.edu/. This is the workbench through NCSU. The work you’ve done thus far will not be here, but you can transfer it over if you would like. Using this link will make sure that you do not hit a rate limit and be locked out of the Workbench.

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.