afex-package: The afex Package
Description
Analysis of Factorial Experiments.Details
ll{ Package: afex
Type: Package
Version: 0.8-94
Date: 2014-02-22
Depends:
R (>= 2.14.0), car, lme4 (>= 1.0.4), pbkrtest (>=
0.3-6), reshape2
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 (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.