ez: Easy Analysis and Visualization of Factorial Experiments (original) (raw)
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 |
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| 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 |
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| Reverse imports: | MOTE, multifear, neatStats, negligible, psychReport, psyntur, pwr2ppl |
| Reverse suggests: | afex, apa, schoRsch |
Linking:
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