⚠️There's a newer version (1.3-1) of this package. Take me there.

afex (version 0.22-1)

Analysis of Factorial Experiments

Description

Convenience functions for analyzing factorial experiments using ANOVA or mixed models. aov_ez(), aov_car(), and aov_4() allow specification of between, within (i.e., repeated-measures), or mixed (i.e., split-plot) ANOVAs for data in long format (i.e., one observation per row), automatically aggregating multiple observations per individual and cell of the design. mixed() fits mixed models using lme4::lmer() and computes p-values for all fixed effects using either Kenward-Roger or Satterthwaite approximation for degrees of freedom (LMM only), parametric bootstrap (LMMs and GLMMs), or likelihood ratio tests (LMMs and GLMMs). afex_plot() provides a high-level interface for interaction or one-way plots using ggplot2, combining raw data and model estimates. afex uses type 3 sums of squares as default (imitating commercial statistical software).

Copy Link

Version

Down Chevron

Install

install.packages('afex')

Monthly Downloads

26,253

Version

0.22-1

License

GPL (>= 2)

Issues

Pull Requests

Stars

Forks

Maintainer

Last Published

September 24th, 2018

Functions in afex (0.22-1)