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.

Easy Analysis and Visualization of Factorial Experiments

package-ubuntu-20.04-r-4.0.5#cran#ez-4.4-0

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

These are not to be called by the user.

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="http://github.com/mike-lawrence/ez">http://github.com/mike-lawrence/ez</a> 
for the bug/issue tracker and the link to the mailing list.

package-ubuntu-20.04-r-4.0.5#cran#ez-4.4-0#docs#ez-internal

ez-internal

Description

Details

Author(s)

ez

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