sjPlot/sjstats: Collection of Convenient Functions for Common Statistical Computations

Collection of convenient functions for common statistical computations, which are not directly provided by R's base or stats packages. This package aims at providing, first, shortcuts for statistical measures, which otherwise could only be calculated with additional effort (like Cramer's V, Phi, or effect size statistics like Eta or Omega squared), or for which currently no functions available. Second, another focus lies on weighted variants of common statistical measures and tests like weighted standard error, mean, t-test, correlation, and more.

Getting started

Package details

MaintainerDaniel L├╝decke <d.luedecke@uke.de>
LicenseGPL-3
Version0.18.0.1
URL https://github.com/strengejacke/sjstats https://strengejacke.github.io/sjstats
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("sjPlot/sjstats")
sjPlot/sjstats documentation built on Nov. 11, 2020, 11:02 a.m.