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Package: ez
Version: 4.3
Date: 2015-11-10
Title: Easy Analysis and Visualization of Factorial Experiments
Author: Michael A. Lawrence <mike.lwrnc@gmail.com>
Maintainer: Michael A. Lawrence <mike.lwrnc@gmail.com>
URL: http://github.com/mike-lawrence/ez
Depends: R (>= 3.0.0)
Imports: car (>= 2.0-12), ggplot2 (>= 0.9.1), lme4 (>= 0.999999-0),
MASS (>= 7.3-29), Matrix (>= 1.0-6), mgcv (>= 1.7-13), plyr (>=
1.7.1), reshape2 (>= 1.2.1), scales (>= 0.2.1), stringr (>=
0.6.1)
Description: 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.
License: GPL (>= 2)
LazyLoad: yes
ByteCompile: true
NeedsCompilation: no
Packaged: 2015-11-13 15:09:04 UTC; mike
Repository: CRAN
Date/Publication: 2015-11-13 23:53:58
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