ez (4.4-0)

3 users

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.

Maintainer: Michael A. Lawrence
Author(s): Michael A. Lawrence <mike.lwrnc@gmail.com>

License: GPL (>= 2)

Uses: car, ggplot2, lme4, MASS, Matrix, mgcv, plyr, reshape2, scales, stringr
Reverse depends: npIntFactRep, RcmdrPlugin.EACSPIR, TriMatch
Reverse suggests: apa, apaTables, groupedstats, RcmdrPlugin.EACSPIR, schoRsch, WRS2

Released over 3 years ago.

16 previous versions



  3.7/5 (3 votes)


  3.7/5 (3 votes)

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