# ez v4.4-0

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## 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.

## Functions in ez

 Name Description ezMixedProgress Retrieve information saved to file by a call to ezMixed ezPerm Perform a factorial permutation test ez-package Easy analysis and visualization of factorial experiments ezMixed Compute evidence for fixed effects in an mixed effects modelling context ezANOVA Compute ANOVA ezDesign Plot the balance of data in an experimental design ezBoot Compute bootstrap resampled predictions ez-internal Internal ez Functions ANT2 Messy ANT data ezCor Compute and plot an information-dense correlation matrix ezResample Resample data from a factorial experiment ezPrecis Obtain a structure summary of a given data frame ezPredict Compute predicted values from the fixed effects of a mixed effects model ezStats Compute descriptive statistics from a factorial experiment ezPlot2 Plot bootstrap predictions and confidence intervals ezPlot Plot data from a factorial experiment No Results!