Analysis of Factorial Experiments
Description
Provides convenience functions for analyzing factorial
experiments using ANOVA or mixed-models. Functions ez.glm() and
aov.car() allow convenient specification of pure-between,
pure-within (i.e., repeated-measures), and mixed between-within
(i.e., split-plot) ANOVAs and ANCOVAs with type 2 and type 3
sums of squares 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).
Function nice.anova() produces publication ready ANOVA tables.
Function mixed() fits a mixed model using lme4::lmer() and
computes p-values for all effects in the model (using the
Kenward-Rogers approximation of degrees of freedom). afex uses
type 3 sums of squares as default (imitating commercial
statistical software) and sets the default contrasts to
contr.sum.