In lmarusich/rmcorrShiny: Compute and plot the repeated measures correlation

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
  out.width = "100%"
)

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 at https://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

Demo of Interactive Plot

More information and Credits

See "About this app"

lmarusich/rmcorrShiny documentation built on Aug. 10, 2024, 4:51 a.m.