afex v0.24-1


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Analysis of Factorial Experiments

Convenience functions for analyzing factorial experiments using ANOVA or mixed models. aov_ez(), aov_car(), and aov_4() allow specification of between, within (i.e., repeated-measures), or mixed (i.e., split-plot) ANOVAs for data in long format (i.e., one observation per row), automatically aggregating multiple observations per individual and cell of the design. mixed() fits mixed models using lme4::lmer() and computes p-values for all fixed effects using either Kenward-Roger or Satterthwaite approximation for degrees of freedom (LMM only), parametric bootstrap (LMMs and GLMMs), or likelihood ratio tests (LMMs and GLMMs). afex_plot() provides a high-level interface for interaction or one-way plots using ggplot2, combining raw data and model estimates. afex uses type 3 sums of squares as default (imitating commercial statistical software).

Functions in afex

Name Description
ems Expected values of mean squares for factorial designs Implements the Cornfield-Tukey algorithm for deriving the expected values of the mean squares for factorial designs.
compare.2.vectors Compare two vectors using various tests. Deprecated functions
fhch2010 Data from Freeman, Heathcote, Chalmers, & Hockley (2010)
afex-package afex Maintainer: afex
afex_aov-methods Methods for afex_aov objects
all_fit Refit lmer model using multiple optimizers
afex_options Set/get global afex options
aov_car Convenient ANOVA estimation for factorial designs
afex_plot m-way Plot with Error Bars and Raw Data
reexports Objects exported from other packages
mixed p-values for fixed effects of mixed-model via lme4::lmer()
round_ps Helper function which rounds p-values
md_16.4 Data 16.4 from Maxwell & Delaney
set_sum_contrasts Set global contrasts
sk2011.1 Data from Singmann & Klauer (2011, Experiment 1)
md_15.1 Data 15.1 / 11.5 from Maxwell & Delaney
nice Make nice ANOVA table for printing.
sk2011.2 Data from Singmann & Klauer (2011, Experiment 2)
test_levene Assumption Tests for ANOVAs
obk.long O'Brien Kaiser's Repeated-Measures Dataset with Covariate
ks2013.3 Data from Klauer & Singmann (2013, Experiment 3)
md_16.1 Data 16.1 / 10.9 from Maxwell & Delaney
md_12.1 Data 12.1 from Maxwell & Delaney
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