GitHub - lmarusich/rmcorrShiny (original) (raw)

rmcorrShiny

The goal of rmcorrShiny is to compute and visualize repeated measures correlation (rmcorr). Rmcorr is the common within-individual linear association for paired, repeated measures data. Rmcorr is conceptually similar to a null multilevel model: a fixed slope and varying intercept by participant.

Getting Started

1. Web application

You can access and use rmcorrShiny athttps://lmarusich.shinyapps.io/shiny_rmcorr/

2. R package

You can also install and run rmcorrShiny locally using the following code:

install.packages("devtools")

devtools::install_github("lmarusich/rmcorrShiny") library(rmcorrShiny) rmcorrShiny::rmcorrShiny()

Interface

Screenshot

Screenshot of rmcorrShiny with example data

Demo of Interactive Plot

Animated gif of interactive plot

More information and Credits

See “About this app”