page.test.unbalanced

Perform Page test for unbalanced two-way design

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

page.test.unbalanced function

<dl><dt>x</dt>
<dd>A vector of responses</dd>
<dt>trt</dt>
<dd>A vector of consecutive integers starting at 1 indicating treatment</dd>
<dt>blk</dt>
<dd>A vector of consecutive integers starting at 1 indicating block</dd>
<dt>sides</dt>
<dd>A single integer indicating sides. Defaults to 2.</dd></dl>

Arguments

Perform Page test for unbalanced two-way design — page.test.unbalanced

<dl>

<dt>x</dt>
<dd>A vector of responses</dd>


<dt>trt</dt>
<dd>A vector of consecutive integers starting at 1 indicating treatment</dd>


<dt>blk</dt>
<dd>A vector of consecutive integers starting at 1 indicating block</dd>


<dt>sides</dt>
<dd>A single integer indicating sides. Defaults to 2.</dd>

</dl>

page.test.unbalanced: Perform Page test for unbalanced two-way design

Description

Usage

Value

Arguments

Examples