test_methods

This function checks whether the correct methods have been requested

internal

The routine twosample_test() in this package runs the
two-sample test using various test statistic for multivariate data.
The user can also run several tests and then find a p value adjusted for simultaneous inference.
The p values are found via permutation or via the parametric bootstrap.
The routine twosample_power() allows the estimation of the power of the tests.
The routine run.studies() allows a user to quickly study the power of a new method and
how it compares to those included in the package.
For details of the methods and references see the included vignettes.

Wolfgang Rolke

MD2sample

Various Methods for the Two Sample Problem in D>1 Dimensions

test_methods function

<dl><dt>doMethods</dt>
<dd>="all" Which methods should be included?</dd>
<dt>Continuous</dt>
<dd>is data continuous</dd>
<dt>ReturnMethodNames</dt>
<dd>= FALSE should names of methods be returned?</dd></dl>

Arguments

This function checks whether the correct methods have been requested — test_methods

<dl>

<dt>doMethods</dt>
<dd>="all" Which methods should be included?</dd>


<dt>Continuous</dt>
<dd>is data continuous</dd>


<dt>ReturnMethodNames</dt>
<dd>= FALSE should names of methods be returned?</dd>

</dl>

test_methods: This function checks whether the correct methods have been requested

Description

Usage

Value

Arguments