Description

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.

Details

This package contains several useful functions:

• ezANOVA Provides simple interface to ANOVA, including assumption checks.

• ezBoot Computes bootstrap resampled cell means or lmer predictions

• ezCor Function to plot a correlation matrix with scatterplots, linear fits, and univariate density plots

• ezDesign Function to plot a visual representation of the balance of data given a specified experimental design. Useful for diagnosing missing data issues.

• ezMixed Provides assessment of fixed effects in a mixed effects modelling context.

• ezPerm Provides simple interface to the Permutation test.

• ezPlot Uses the ggplot2 graphing package to generate plots for any given user-requested effect, by default producing error bars that facilitate visual post-hoc multiple comparisons.

• ezPlot2 When supplied the results from a call to ezPredict or ezBoot, plots predictions with confidence intervals.

• ezPrecis Provides a summary of a given data frame.

• ezPredict Computes predicted values from the fixed effects of a mixed effects model.

• ezResample Resamples data, useful when bootstrapping.

• ezStats Provides between-Ss descriptive statistics for any given user-requested effect.
  
  
  This package also contains two data sets:

• ANT Simulated data from the Attention Network Test

• ANT2 Messy version of the ANT data set

Author(s)

Michael A. Lawrence mike.lwrnc@gmail.com
Visit the ez development site at http://github.com/mike-lawrence/ez
for the bug/issue tracker and the link to the mailing list.

See Also

ANT, ANT2, ezANOVA, ezBoot, ezCor, ezDesign, ezMixed, ezPerm, ezPlot, ezPlot2, ezPrecis, ezPredict, ezResample, ezStats