Return Home

Dear all,

This summer you will participate in the USS24: Statistical programming with R course in Utrecht, the Netherlands. To realize a steeper learning curve, we will use some functionality that is not part of the base installation for R. The below steps guide you through installing both R as well as the necessary additions.

We look forward to see you all in Utrecht,

The Statistical Programming with R Team

Steps to prepare:

  1. Install R R can be obtained here. We won’t use R directly in the course, but rather call R through RStudio. Therefore it needs to be installed.
  1. Install RStudio Desktop

Rstudio is an Integrated Development Environment (IDE). It can be obtained as stand-alone software here.

  1. Install package mice.

Go to Tools > Install Packages in RStudio. Make sure that you are connected to the internet and select Repository under Install From and type mice under Packages. Leave the Install to Library at default and verify that Install Dependencies is selected. Click install.

Some packages depend on other packages, meaning that their functionality may be limited if their dependencies are not installed. Installing dependencies is therefore recommended.

If all is right, you will receive a message in the console that the package has been installed (with its dependencies).

Alternatively, if you know the name of the package you would like to install - in this case mice - you can also call install.packages("mice") in the console window.

  1. Install also the following packages by executing the below code in the R console window:
install.packages("knitr")
install.packages("rmarkdown")
install.packages("plotly")
install.packages("ggplot2")
install.packages("shiny")
install.packages("devtools")
install.packages("tidyverse")
install.packages("magrittr")
install.packages("boot")
install.packages("class")
install.packages("car")
install.packages("MASS")
install.packages("ggplot2movies")
install.packages("ISLR")
install.packages("DAAG")

Return Home