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. Software 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) Michael A. Lawrence <Mike.Lawrence@dal.ca> Michael A. Lawrence <Mike.Lawrence@dal.ca> GPL (>= 2) 2012-03-02 application/tgz http://CRAN.R-project.org/package=ez