rmcorr
Repeated Measures Correlation
Compute the repeated measures correlation, a statistical technique
for determining the overall within-individual relationship among paired measures
assessed on two or more occasions, first introduced by Bland and Altman (1995).
Includes functions for diagnostics, p-value, effect size with confidence
interval including optional bootstrapping, as well as graphing. Also includes
several example datasets. For more details, see the web documentation
< https://lmarusich.github.io/rmcorr/index.html> and the
original paper: Bakdash and Marusich (2017)
rmcorr 
Repeated measures correlation (rmcorr) is a statistical technique for determining the common within-individual association for paired measures assessed on two or more occasions for multiple individuals.
Installation
install.packages('rmcorr')
#development version:
# install.packages("devtools")
devtools::install_github("lmarusich/rmcorr")
Example
library(rmcorr)
rmcorr(Subject, PaCO2, pH, bland1995)
#> Warning in rmcorr(Subject, PaCO2, pH, bland1995): 'Subject' coerced into a
#> factor
#>
#> Repeated measures correlation
#>
#> r
#> -0.5067697
#>
#> degrees of freedom
#> 38
#>
#> p-value
#> 0.0008471081
#>
#> 95% confidence interval
#> -0.7067146 -0.2318631
Graphical Interface for rmcorr
A Shiny web and standalone app with a graphical user interface is also
available:
Web app
Standalone app
Disclaimer
This software was developed by U.S. Government employees and is subject to revision. The views expressed in the documentation and corresponding publications do not necessary represent the views of the U.S. Government.
This software is being provided to meet the need for timely best science. No warranty, expressed or implied, is made by the U.S. Government as to the functionality of the software and related material nor shall the fact of release constitute any such warranty. The software is provided on the condition that the U.S. Government shall not be held liable for any damages resulting from the authorized or unauthorized use of the software.
The above text was adapted from the USGS software disclaimer: toxEval U.S. Government disclaimer