afex-package: The afex Package
Description
Analysis of Factorial Experiments.Details
ll{ Package: afex
Type: Package
Version: 0.6-82
Date: 2013-09-24
Depends:
R (>= 2.14.0), coin, car, lme4 (>= 1.0.4), pbkrtest
(>= 0.3-2)
Encoding: UTF-8
License: GPL
(>=3)
URL: http://www.psychologie.uni-freiburg.de/Members/singmann/R/afex
}
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 (LRT). 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.