Easy Analysis and Visualization of Factorial Experiments
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.