2.5. Install R and RStudio on your local computer
As with all the other software installations for use in data cleaning, first check which versions are recommended at present.
Installation instructions for R on Windows and Mac can be found here: cran.rstudio.com.
Installation instructions for RStudio on Windows and Mac: posit.co/download/rstudio-desktop.
Any packages that you need and do not already have will be automatically installed by our pipeline scripts.
Next, install the following libraries in RStudio by running the code below. Note this code will only install packages that you don’t already have installed:
packages <- c("tidyverse", "caret", "REddyProc", "dplyr", "lubridate", "data.table", "fs", "yaml", "rlist", "zoo", "reshape2", "stringr", "ranger", "caret", "ggplot2") installed_packages <- packages %in% rownames(installed.packages()) if (any(installed_packages == FALSE)) { install.packages(packages[!installed_packages]) }