Analysis of Factorial Experiments
Description
Provides 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 between-within (i.e., split-plot) ANOVAs for data in
long format (i.e., one observation per row), potentially 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
approximation for degrees of freedom (LMM only), parametric bootstrap (LMMs and GLMMs),
or likelihood ratio tests (LMMs and GLMMs). afex uses type 3 sums of squares as default
(imitating commercial statistical software).