Setup for Data Analytics with R Training

Students should have a recent versions of the software below installed for the course:

1. R (https://cran.r-project.org/bin/windows/base/)
2. RStudio Desktop Open Source Edition (https://posit.co/download/rstudio-desktop/) 
3. R packages as described below.

Install R, RStudio, and Packages

1. Install R (does not require IT help): https://cran.r-project.org/bin/windows/base/
2. Install RStudio (requires IT admin privileges, call the helpline at 1-800-877-7435): https://posit.co/download/rstudio-desktop/
3. To install R packages, open RStudio and run the following code in the RStudio console:

   
   options(download.file.method = 'wininet')
   package_list <- c('rmarkdown','tidyverse','Hmisc','ggthemes','ggridges','hrbrthemes','quarto')
   install.packages(package_list)
               

4. Finally, to test if your installation is working, run the following in RStudio:

   
   ## testing if R packages were successfully installed
   installed <- lapply(package_list, require, character.only = TRUE)
   if (all(unlist(installed))) {
     message("Success, all packages installed!")
   } else {
     message("At least one package was not installed correctly :(")
     for (i in 1:length(package_list)) {
       if (!installed[[i]]) {
         message(paste0("---   '", package_list[i], "' was not installed correctly."))
       }
     }
   }