sensitivity.plot

Compare the sensitivity of different statistics.

A collection of multivariate nonparametric methods, selected in part to support an MS level course in nonparametric statistical methods. Methods include adjustments for multiple comparisons, implementation of multivariate Mann-Whitney-Wilcoxon testing, inversion of these tests to produce a confidence region, some permutation tests for linear models, and some algorithms for calculating exact probabilities associated with one- and two- stage testing involving Mann-Whitney-Wilcoxon statistics. Supported by grant NSF DMS 1712839. See Kolassa and Seifu (2013) <doi:10.1016/j.acra.2013.03.006>.

John E Kolassa

MultNonParam

Multivariate Nonparametric Methods

John E. Kolassa

Stephane Jankowski

sensitivity.plot function

<dl><dt>y</dt>
<dd>vector of the data.</dd>
<dt>sub</dt>
<dd>subtitle for the plot.</dd>
<dt>stats</dt>
<dd>vector of functions to be plotted.</dd></dl>

Arguments

Compare the sensitivity of different statistics. — sensitivity.plot

<dl>

<dt>y</dt>
<dd>vector of the data.</dd>


<dt>sub</dt>
<dd>subtitle for the plot.</dd>


<dt>stats</dt>
<dd>vector of functions to be plotted.</dd>

</dl>

sensitivity.plot: Compare the sensitivity of different statistics.

Description

Usage

Arguments

Details