NSIR-handling-missingness

Taught by John Lee Winter Quarter of 2024 Northwestern University's Research Computing and Data Services as part of the Next Steps in R workshop series.

Getting Started

• Download the materials to your machine by clicking on the green "Code" button on the top right and selecting "Download ZIP".
• Unzip the downloaded folder, and double-click on the .RProj file to open up the R Project in RStudio.
• Open nsir_handling_missingness.qmd and work through the materials.

Concepts

• Visualize missing data using visdat and naniar
• Mechanisms of missingness
• Imputation methods

Components

• README.md markdown file outlining the repository
• nsir_handling_missingness.qmd QMD file with the workshop materials

Required Installs

• R and RStudio
• Packages: tidyverse, naniar, visdat, mice, VIM

install.packages("tidyverse")
install.packages("naniar")
install.packages("visdat")
install.packages("mice")
install.packages("VIM")