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[issues need fixing before 2025-12-25] |
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