ez-internal

Internal functions for the <code>ez</code> package.

 internal

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.

Valentin Koob

Easy Analysis and Visualization of Factorial Experiments

Michael A. Lawrence

ez-internal function

Michael A. Lawrence <a href="/link/mike.lwrnc%40gmail.com?package=ez&version=4.5-0" data-mini-rdoc="ez::mike.lwrnc@gmail.com">mike.lwrnc@gmail.com</a> 
Visit the <code>ez</code> development site at <a href="https://github.com/mike-lawrence/ez">https://github.com/mike-lawrence/ez</a> 
for the bug/issue tracker and the link to the mailing list.

Author

Internal ez Functions — ez-internal

Michael A. Lawrence <a href='mailto:mike.lwrnc@gmail.com'>mike.lwrnc@gmail.com</a> 
Visit the <code>ez</code> development site at <a href='https://github.com/mike-lawrence/ez'>https://github.com/mike-lawrence/ez</a> 
for the bug/issue tracker and the link to the mailing list.

ez-internal: Internal ez Functions

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