ez: Easy analysis and visualization of factorial experiments
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: |
4.1-1 |
| Depends: |
R (≥ 2.15), car (≥ 2.0-12), ggplot2 (≥ 0.9.1), lme4 (≥
0.999999-0), Matrix (≥ 1.0-6), mgcv (≥ 1.7-13), memoise (≥
0.1), plyr (≥ 1.7.1), reshape2 (≥ 1.2.1), scales (≥ 0.2.1), stringr (≥ 0.6.1) |
| Published: |
2012-08-11 |
| Author: |
Michael A. Lawrence |
| Maintainer: |
Michael A. Lawrence <mike.lwrnc at gmail.com> |
| License: |
GPL (≥ 2) |
| URL: |
http://github.com/mike-lawrence/ez |
| NeedsCompilation: |
no |
| CRAN checks: |
ez results |
Downloads:
Reverse dependencies: