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 between-within (i.e., split-plot)
ANOVAs for data in long format (i.e., one observation per row), 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 uses type 3 sums of squares as default (imitating commercial
statistical software).