rorschach

This protocol is used to calibrate the eyes for variation due to sampling.
All plots are typically null data sets, data that is consistent with a null
hypothesis. The protocol is described in Buja, Cook, Hofmann, Lawrence,
Lee, Swayne, Wickham (2009) Statistical inference for exploratory data
analysis and model diagnostics, Phil. Trans. R. Soc. A, 367, 4361-4383.

Tools for visual inference. Generate null data sets
and null plots using permutation and simulation. Calculate distance metrics
for a lineup, and examine the distributions of metrics.

Di Cook

nullabor

Tools for Graphical Inference

Hadley Wickham

Niladri Roy Chowdhury

Heike Hofmann

rorschach function

<dl><dt>method</dt>
<dd>method for generating null data sets</dd>
<dt>true</dt>
<dd>true data set. If <code>NULL</code>, <code>find_plot_data</code>
will attempt to extract it from the current ggplot2 plot.</dd>
<dt>n</dt>
<dd>total number of samples to generate (including true data)</dd>
<dt>p</dt>
<dd>probability of including true data with null data.</dd></dl>

Arguments

The Rorschach protocol. — rorschach

<dl>

<dt>method</dt>
<dd>method for generating null data sets</dd>


<dt>true</dt>
<dd>true data set. If <code>NULL</code>, <code>find_plot_data</code>
will attempt to extract it from the current ggplot2 plot.</dd>


<dt>n</dt>
<dd>total number of samples to generate (including true data)</dd>


<dt>p</dt>
<dd>probability of including true data with null data.</dd>

</dl>

rorschach: The Rorschach protocol.

Description

Usage

Arguments