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