ez-internal
(Package: ez) :
Internal ez Functions
Internal functions for the ez package.
● Data Source:
CranContrib
● Keywords: internal
● Alias: ez-internal
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ezPredict
(Package: ez) :
Compute predicted values from the fixed effects of a mixed effects model
This function computes the predicted values from the fixed effects of a mixed effects model.
● Data Source:
CranContrib
● Keywords:
● Alias: ezPredict
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ezCor
(Package: ez) :
Compute and plot an information-dense correlation matrix
This function provides simultaneous visualization of a correlation matrix, scatter-plot with linear fits, and univariate density plots for multiple variables.
● Data Source:
CranContrib
● Keywords:
● Alias: ezCor
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ezBoot
(Package: ez) :
Compute bootstrap resampled predictions
This function is used to compute bootstrap resampled predictions for each cell in a specified experimental design, using either cell means or mixed effects modelling to obtain predictions. The results can be visualized using ezPlot2.
● Data Source:
CranContrib
● Keywords:
● Alias: ezBoot
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ezPlot
(Package: ez) :
Plot data from a factorial experiment
This function provides easy visualization of any given user-requested effect from factorial experiments, including purely within-Ss designs (a.k.a. “repeated measures”), purely between-Ss designs, and mixed within-and-between-Ss designs. By default, Fisher's Least Significant Difference is computed to provide error bars that facilitate visual post-hoc multiple comparisons (see Warning section below).
● Data Source:
CranContrib
● Keywords:
● Alias: ezPlot
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ezResample
(Package: ez) :
Resample data from a factorial experiment
This function resamples data (useful when bootstrapping and used by ezBoot).
● Data Source:
CranContrib
● Keywords:
● Alias: ezResample
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ez-package
(Package: ez) :
Easy analysis and visualization of factorial experiments
This package 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.
● Data Source:
CranContrib
● Keywords: package
● Alias: ez
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ezMixedProgress
(Package: ez) :
Retrieve information saved to file by a call to ezMixed
When running ezMixed with a value supplied to the progress_dir argument, summary results are saved to file. ezMixedProgress retrieves those results, even from partial or discontinued runs.
● Data Source:
CranContrib
● Keywords:
● Alias: ezMixedProgress
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ezPlot2
(Package: ez) :
Plot bootstrap predictions and confidence intervals
This function provides easy visualization of any given user-requested effect from the bootstrap predictions computed by ezPredict or ezBoot.
● Data Source:
CranContrib
● Keywords:
● Alias: ezPlot2
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ezStats
(Package: ez) :
Compute descriptive statistics from a factorial experiment
This function provides easy computation of descriptive statistics (between-Ss means, between-Ss SD, Fisher's Least Significant Difference) for data from factorial experiments, including purely within-Ss designs (a.k.a. “repeated measures”), purely between-Ss designs, and mixed within-and-between-Ss designs.
● Data Source:
CranContrib
● Keywords:
● Alias: ezStats
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