gmoeser/featureCorMatrix: Measurement Level Independent Feature Correlation Matrix

Uses three different correlation coefficients to calculate measurement-level adequate correlations in a feature matrix: Pearson product-moment correlation coefficient, Intraclass correlation and Cramer's V.

Getting started

Package details

MaintainerGuido Moeser <guido.moeser@masem.de>
LicenseGPL (>= 2)
Version0.4.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("gmoeser/featureCorMatrix")
gmoeser/featureCorMatrix documentation built on May 25, 2020, 12:53 a.m.