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), 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) and sets the default contrasts to contr.sum. Furthermore, compare.2.vectors() conveniently compares two vectors using a variety of tests.

Version: 0.8-94
Depends: R (≥ 2.14.0), car, lme4 (≥ 1.0.4), pbkrtest (≥ 0.3-6), reshape2
Imports: stringr, coin
Suggests: ascii, xtable, parallel
Published: 2014-02-23
Author: Henrik Singmann [aut, cre]
Maintainer: Henrik Singmann <henrik.singmann at psychologie.uni-freiburg.de>
License: GPL (≥ 3)
URL: http://www.psychologie.uni-freiburg.de/Members/singmann/R/afex
NeedsCompilation: no
Materials: NEWS
CRAN checks: afex results

Downloads:

Reference manual: afex.pdf
Package source: afex_0.8-94.tar.gz
OS X binary: afex_0.8-94.tgz
Windows binary: afex_0.8-94.zip
Old sources: afex archive