<em>Simulated</em> data from then Attention Network Test (see reference below), consisting of 2 within-Ss variables (<dquote>cue</dquote> and <dquote>flank</dquote>), 1 between-Ss variable (<dquote>group</dquote>) and 2 dependent variables (response time, <dquote>rt</dquote>, and whether an error was made, <dquote>error</dquote>)

datasets

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.

ANT: ANT data

Description

Usage

Arguments

References

Examples