afex: Analysis of Factorial Experiments

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-Rogers approximation of degrees of freedom (LMM only) or parametric bootstrap (LMMs and GLMMs). afex uses type 3 sums of squares as default (imitating commercial statistical software) and sets the default contrasts to contr.sum. Furthermore, compare.2.vectors() conveniently compares two vectors using different statistical tests.

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