ez: 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.
Documentation:
Downloads:
Reverse dependencies:
| Reverse depends: |
npIntFactRep, RcmdrPlugin.EACSPIR, TriMatch |
| Reverse imports: |
MOTE, multifear, neatStats, psychReport, psyntur, pwr2ppl, truthiness |
| Reverse suggests: |
afex, apa, schoRsch |
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