afex: Analysis of Factorial Experiments

Provides convenience functions for analyzing factorial experiments using ANOVA or mixed-models. ez.glm() and 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.

Version: 0.10-113
Depends: R (≥ 3.0.0), car, lme4 (≥ 1.0.5), pbkrtest (≥ 0.3-6), reshape2
Imports: stringr, coin, Matrix
Suggests: ascii, xtable, parallel, plyr
Published: 2014-08-05
Author: Henrik Singmann [aut, cre], Ben Bolker [ctb], Søren Højsgaard [ctb], John Fox [ctb], Michael A. Lawrence [ctb], Ulf Mertens [ctb]
Maintainer: Henrik Singmann <henrik.singmann at>
License: GPL (≥ 3)
NeedsCompilation: no
Materials: NEWS
CRAN checks: afex results


Reference manual: afex.pdf
Package source: afex_0.10-113.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Snow Leopard binaries: r-release: afex_0.10-113.tgz, r-oldrel: afex_0.10-113.tgz
OS X Mavericks binaries: r-release: afex_0.10-113.tgz
Old sources: afex archive

Reverse dependencies:

Reverse enhances: lsmeans