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afex

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 (26)

afex-package

Analysis of Factorial Experiments Maintainer: NA

afex_aov-methods

Methods for afex_aov objects

afex_options

Set/get global afex options

afex_plot

m-way Plot with Error Bars and Raw Data

all_fit

Refit lmer model using multiple optimizers

aov_car

Convenient ANOVA estimation for factorial designs

compare.2.vectors

Compare two vectors using various tests.

deprecated

Deprecated functions

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.

fhch2010

Data from Freeman, Heathcote, Chalmers, & Hockley (2010)

ks2013.3

Data from Klauer & Singmann (2013, Experiment 3)

md_12.1

Data 12.1 from Maxwell & Delaney

md_15.1

Data 15.1 / 11.5 from Maxwell & Delaney

md_16.1

Data 16.1 / 10.9 from Maxwell & Delaney

md_16.4

Data 16.4 from Maxwell & Delaney

mixed

p-values for fixed effects of mixed-model via lme4::lmer()

nice

Make nice ANOVA table for printing.

obk.long

O'Brien Kaiser's Repeated-Measures Dataset with Covariate

reexports

Objects exported from other packages

residuals.afex_aov

Extract Residuals and Fitted Values from afex_aov objects

round_ps

Helper functions for rounding p-values

set_sum_contrasts

Set global contrasts

sk2011.1

Data from Singmann & Klauer (2011, Experiment 1)

sk2011.2

Data from Singmann & Klauer (2011, Experiment 2)

stroop

Stroop data from Lin et al. (2020, Psych. Science)

test_assumptions

Assumption Tests for ANOVAs

afex

Analysis of Factorial Experiments

v0.28-1

GPL (>= 2)

Authors

Henrik Singmann [aut, cre] (<https://orcid.org/0000-0002-4842-3657>), Ben Bolker [aut], Jake Westfall [aut], Frederik Aust [aut] (<https://orcid.org/0000-0003-4900-788X>), Mattan S. Ben-Shachar [aut], Søren Højsgaard [ctb], John Fox [ctb], Michael A. Lawrence [ctb], Ulf Mertens [ctb], Jonathon Love [ctb], Russell Lenth [ctb], Rune Haubo Bojesen Christensen [ctb]

Initial release

afex

Functions (26)

afex

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