Prerequisites

To make the best out of these tutorials, you will need to install three things on your computer: R, RStudio, and a collection of R packages called tidyverse. If other R packages are needed, we will always mention them at the beginning of each tutorial.

Step 1: Installing R

You can download R for Linux, macOS, or Windows on the CRAN website. CRAN is an abbreviation for the Comprehensive R Archive Network.

Step 2: Installing RStudio

RStudio is an integrated development environment (IDE) for R (and other languages such as Python) developed by Posit, an open-source data science company. We highly recommend using RStudio, which will make your experience of working with R much more enjoyable. With RStudio, you can easily write your own scripts, run R code, manage your workspace, install and load R packages, view graphical output, and much more! You can download RStudio on the Posit website.

Step 3: Installing tidyverse

tidyverse is a collection of R packages for data science. When installing tidyverse, you will install a suite of R packages that are very commonly used when processing and visualising data, such as readr, dyplr, tibble, ggplot2, and more! After opening RStudio, you can install tidyverse by executing the following code in your R console:

install.packages("tidyverse")