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ez (version 4.3)

Easy Analysis and Visualization of Factorial Experiments

Description

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.

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Install

install.packages('ez')

Monthly Downloads

9,628

Version

4.3

License

GPL (>= 2)

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Maintainer

Michael A Lawrence

Last Published

November 13th, 2015

Functions in ez (4.3)

ezStats

Compute descriptive statistics from a factorial experiment
ezPrecis

Obtain a structure summary of a given data frame
ezPlot

Plot data from a factorial experiment
ANT

ANT data
ANT2

Messy ANT data
ezMixedProgress

Retrieve information saved to file by a call to ezMixed
ez-package

Easy analysis and visualization of factorial experiments
ezBoot

Compute bootstrap resampled predictions
ezDesign

Plot the balance of data in an experimental design
ezCor

Compute and plot an information-dense correlation matrix
ezMixed

Compute evidence for fixed effects in an mixed effects modelling context
ez-internal

Internal ez Functions
ezResample

Resample data from a factorial experiment
ezPredict

Compute predicted values from the fixed effects of a mixed effects model
ezPlot2

Plot bootstrap predictions and confidence intervals
ezPerm

Perform a factorial permutation test
ezANOVA

Compute ANOVA