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
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Details

Date 2016-11-01
URL http://github.com/mike-lawrence/ez
License GPL (>= 2)
LazyLoad yes
ByteCompile true
NeedsCompilation no
Packaged 2016-11-02 01:40:15 UTC; mike
Repository CRAN
Date/Publication 2016-11-02 18:17:31

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