Missing Data in R

This repository will hold all of the materials for the Utrecht University Winter School course: Missing Data in R.

You can access a structured (albeit very ugly) layout of the course materials via https://www.kylemlang.com/Missing-Data-in-R/.

Preparation

To participate in this course, you will need a few things:

1. You will need access to the contents of this repository on your local machine.

   • If you're familiar with Git, you can clone this repository.
   • If you are not familiar with Git, you can download a ZIP archive of this repository's current content via the Download ZIP option in the drop-down menu triggered by the green Code button at the top of this page.
     • Extract the contents of this ZIP archive to a convenient location on your computer.
     • We will be running the course out of this directory.
     • Do not move any of the contents (doing so will break a bunch of relative file paths).
   • Note that I'll probably be pushing some last-minute updates, so you may want to pull down recent commits (or download a fresh ZIP image) on the morning of the course.

2. You will also need to have R installed on your computer as well as some convenient way of working with R (e.g., RStudio).

   • It will also be helpful to install the necessary add-on packages before the course begins.

Installing R & RStudio

• You can obtain a free copy of R here.
• You can download RStudio as stand-alone software here.
  • You want the free, open-source RStudio Desktop version.

Installing Necessary Packages

We will use several add-on packages in this course. You can save yourself some time and hassle at the beginning of the course by installing these packages ahead of time.

Method 1

Open the script saved as code/install_packages.R in RStudio, and run the contents.

• You can run the contents of the script by selecting all the text and hitting CTRL-ENTER on Windows/Linux or CMD-ENTER on Mac.

Method 2

Copy-paste the following lines of code into the RStudio console window to execute the necessary command.

• If nothing happens after you paste the code, try hitting the "Enter/Return" key.

    install.packages(c("mice",
                       "naniar",
                       "dplyr",
                       "ggplot2",
                       "miceadds",
                       "mitools",
                       "semTools",
                       "psych",
                       "lavaan",
                       "pROC",
                       "mvtnorm"),
                     repos = "http://cloud.r-project.org",
                     dependencies = TRUE)
  

If you are asked the following question:

Do you want to install from sources the package which needs 
compilation? (Yes/no/cancel)

Type Yes in the console, and press the "Enter/Return" key (or click the corresponding button if the question presents as a dialog box).