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ez: Easy Analysis and Visualization of Factorial Experiments

Facilitates easy analysis of factorial experiments, including purely within-Ss designs (a.k.a. "repeated measures"), purely between-Ss designs, and mixed within-and-between-Ss designs. The functions in this package aim to provide simple, intuitive and consistent specification of data analysis and visualization. Visualization functions also include design visualization for pre-analysis data auditing, and correlation matrix visualization. Finally, this package includes functions for non-parametric analysis, including permutation tests and bootstrap resampling. The bootstrap function obtains predictions either by cell means or by more advanced/powerful mixed effects models, yielding predictions and confidence intervals that may be easily visualized at any level of the experiment's design.

Version: 4.4-0
Depends: R (≥ 3.1)
Imports: car (≥ 2.1-3), ggplot2 (≥ 2.1.0), lme4 (≥ 1.1-12), MASS (≥ 7.3-45), Matrix (≥ 1.2-7.1), mgcv (≥ 1.8-12), plyr (≥ 1.8.4), reshape2 (≥ 1.4.2), scales (≥ 0.4.0), stringr (≥ 1.1.0)
Published: 2016-11-02
DOI: 10.32614/CRAN.package.ez
Author: Michael A. Lawrence
Maintainer: Michael A. Lawrence <mike.lwrnc at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://github.com/mike-lawrence/ez
NeedsCompilation: no
In views: ExperimentalDesign, MixedModels
CRAN checks: ez results

Documentation:

Reference manual: ez.pdf

Downloads:

Package source: ez_4.4-0.tar.gz
Windows binaries: r-devel: ez_4.4-0.zip, r-release: ez_4.4-0.zip, r-oldrel: ez_4.4-0.zip
macOS binaries: r-release (arm64): ez_4.4-0.tgz, r-oldrel (arm64): ez_4.4-0.tgz, r-release (x86_64): ez_4.4-0.tgz, r-oldrel (x86_64): ez_4.4-0.tgz
Old sources: ez archive

Reverse dependencies:

Reverse depends: npIntFactRep, RcmdrPlugin.EACSPIR, TriMatch
Reverse imports: MOTE, multifear, neatStats, negligible, psychReport, psyntur, pwr2ppl
Reverse suggests: afex, apa, schoRsch

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ez to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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