afex 0.16-1

Analysis of Factorial Experiments

Released Apr 4, 2016 by Henrik Singmann [aut, cre], Ben Bolker [aut], Jake Westfall [aut], Frederik Aust [aut], Søren Højsgaard [ctb], John Fox [ctb], Michael A. Lawrence [ctb], Ulf Mertens [ctb]

This package cannot yet be used with Renjin it depends on other packages which are not available: car 2.1-2, lme4 1.1-11, and pbkrtest 0.4-6


lme4 1.1-11 car 2.1-2 pbkrtest 0.4-6 Matrix 1.2-4 reshape2 1.4.1 coin 1.1-2 lsmeans 2.23 stringr 1.0.0

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).