knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>"
)

R-CMD-check license lifecycle Maintenance Project Status GitHub last commit GitHub issues GitHub issues-closed PRs Welcome

Goals of shinymde

shinymde provides an application (user interface) to ease the process of missing data exploration. The core functionality accessed is programmed in the code only package mde. It is hoped that this will provide an even easier way to explore missing data.

Installation

To install, please run the following in R.

devtools::install_github("Nelson-Gon/shinymde")
# provide branches for dev version  
devtools::install_github("Nelson-Gon/shinymde@dev")

Running the App

library(shinymde)
run_app()

Test the app

shinymde is currently deployed at https://nelson-gon.shinyapps.io/shinymde/ where users can use the app via a browser. Please test the app there and let us know what you think. Thank you!

Currently Implemented features

This uses mde's na_summary function to generate a simple missingness report. The user can also download this report for use in other purposes.

This allows a user to recode a given value as NA, R's handler of missing values or convert NAs to some other value. It uses mde's recode_* functions.

This allows one to recode values conditionally. This supports recode_as_na_for, recode_as_na_if, and other conditional recoding functions.

This uses mde's drop_na_* functions.

shinymde in action

Below is a screenshot showing current functionality.

shinymde in action

View the full app at https://nelson-gon.shinyapps.io/shinymde/.

Features that need further development (help)

If you would like to work on this project, here is a features list that could be a good place to start.


Thank you and keep building,

Nelson

r Sys.Date()

Please note that the 'shinymde' project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.



Nelson-Gon/shinymde documentation built on May 21, 2023, 6:29 a.m.