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).