README.md

In maedhays/missingdata581: Outputs Missing Data Reports

missingdata581

The goal of missingdata581 is to let you subset missing values by person and by variable. There is a Shiny application that lets you interact in real-time with missing data.

The purpose of my project is to address missing data. I work as a data manager, and one of the most prevalent issues in any study, especially clinical studies, is handling missing data. A lot of analysis depends on having all covariates known, but in practice, this almost never happens, especially as the sample size increases.

If a study has relatively few subjects, it is not too cumbersome to manually look for missing values. However, as the size of the study increases, manually checking for missing values gets much more difficult.

R has several functions that help address missing data, like is.na(), complete.cases(), and na.omit(). However, these have to be manipulated to get useful information, like the total number of missing values a person has.

Something that I have found particularly useful through my work is knowing the number of missing values per person and a list of all missing variables. With the package I have made, this can be found very easily; with the Shiny application, the number of missing values, variables, and individuals can be updated in real-time.

Installation

You can install the released version of missingdata581 from GitHub https://github.com/maedhays/missingdata581 with:

xfun:: install_github("maedhays/missingdata581")

maedhays/missingdata581 documentation built on Dec. 21, 2021, 12:52 p.m.