Analysis of Factorial Experiments
Description
Provides convenience functions for analyzing factorial experiments
using ANOVA or mixed-models. ez.glm() and aov.car() allow convenient
calculation of between, within (i.e., repeated-measures), or mixed
between-within (i.e., split-plot) ANOVAs for data in the long format (i.e.,
one observation per row) wrapping car::Anova() (aggregating more then one
observation per individual and cell of the design), per default returning a
print ready ANOVA table. Function mixed() fits a mixed model using
lme4::lmer() and computes p-values for all effects in the model using
either the Kenward-Roger approximation of 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). Furthermore, compare.2.vectors() conveniently
compares two vectors using a variety of tests.