afex 0.20-2

Analysis of Factorial Experiments

Released Apr 4, 2018 by Henrik Singmann

This package cannot yet be used with Renjin it depends on other packages which are not available: car 3.0-0 An older version of this package is more compatible with Renjin.


car 3.0-0 lme4 1.1-17 emmeans 1.1.3 lmerTest 2.0-36 stringr 1.3.0 coin 1.2-2 pbkrtest 0.4-7 reshape2 1.4.3

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).