afex-package: The afex Package
Description
Analysis of Factorial Experiments.Details
ll{
Package: afex
Type: Package
Version: 0.10-113
Date: 2014-08-03
Depends: R (>= 3.0.0), car, lme4 (>= 1.0.5), pbkrtest (>= 0.3-6), reshape2
Encoding: latin1
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-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.