CRAN

afex 0.23-0

Analysis of Factorial Experiments

Released Feb 19, 2019 by Henrik Singmann

Dependencies

car 3.0-3 lmerTest 3.1-0 lme4 1.1-21 pbkrtest 0.4-7 reshape2 1.4.3

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).

Source

View GitHub Mirror

Release History

• 0.23-0
• 0.22-1
• 0.21-2
• 0.20-2
• 0.19-1
• 0.18-0
• 0.17-8
• 0.16-1
• 0.15-2
• 0.14-2
• 0.13-145
• 0.12-135
• 0.11-131
• 0.10-113
• 0.9-109
• 0.8-94
• 0.7-90
• 0.6-82
• 0.5-71
• 0.4-57
• 0.3-42
• 0.2-26