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afex (version 0.13-145)

Analysis of Factorial Experiments

Description

Provides convenience functions for analyzing factorial experiments using ANOVA or mixed models. ez.glm(), aov.car(), and aov4() allow convenient specification of between, within (i.e., repeated-measures), or mixed between-within (i.e., split-plot) ANOVAs for data in long format (i.e., one observation per row), potentially aggregating multiple observations per individual and cell of the design. mixed() fits a mixed model using lme4::lmer() and computes p-values for all effects using either Kenward-Roger approximation for 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). compare.2.vectors() compares two vectors using a variety of tests (t, Wilcoxon, and permutation).

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Install

install.packages('afex')

Monthly Downloads

20,284

Version

0.13-145

License

GPL (>= 3)

Maintainer

Last Published

January 12th, 2015

Functions in afex (0.13-145)