This package 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: | 3.0-1 |
| Depends: | R (≥ 2.14), car (≥ 2.0-12), ggplot2 (≥ 0.9-0), lme4 (≥ 0.999375-42), Matrix (≥ 1.0-3), mgcv (≥ 1.7-13), memoise (≥ 0.1), plyr (≥ 1.7.1), RCurl (≥ 1.9-5), reshape2 (≥ 1.2.1), scales (≥ 0.1.0), stringr (≥ 0.6) |
| Suggests: | MASS (≥ 7.3-16) |
| Published: | 2012-03-02 |
| Author: | Michael A. Lawrence |
| Maintainer: | Michael A. Lawrence <Mike.Lawrence at dal.ca> |
| License: | GPL (≥ 2) |
| URL: | http://groups.google.com/group/ez4r (discussion list), https://github.com/mike-lawrence/ez/issues (bug reports and feature requests) |
| CRAN checks: | ez results |
| Package source: | ez_3.0-1.tar.gz |
| MacOS X binary: | ez_3.0-1.tgz |
| Windows binary: | ez_3.0-1.zip |
| Reference manual: | ez.pdf |
| Old sources: | ez archive |