afex-package: The afex Package
Description
Analysis of Factorial Experiments.Details
ll{ Package: afex
Type: Package
Version: 0.5-71
Date: 2013-05-29
Depends:
R (>= 2.14.0), coin, car, lme4, pbkrtest (>= 0.3-2),
reshape2, stringr
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) or parametric bootstrap (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 different statistical tests.