testC

run tests using either simulation or permutation.

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

testC function

<dl><dt>dta</dt>
<dd>a list with the data</dd>
<dt>TS</dt>
<dd>routine to calculate test statistics for non-chi-square tests</dd>
<dt>typeTS</dt>
<dd>type of a test statistic</dd>
<dt>TSextra</dt>
<dd>additional info passed to TS, if necessary</dd>
<dt>B</dt>
<dd>=5000, number of simulation runs.</dd></dl>

Arguments

run tests using either simulation or permutation. — testC

<dl>

<dt>dta</dt>
<dd>a list with the data</dd>


<dt>TS</dt>
<dd>routine to calculate test statistics for non-chi-square tests</dd>


<dt>typeTS</dt>
<dd>type of a test statistic</dd>


<dt>TSextra</dt>
<dd>additional info passed to TS, if necessary</dd>


<dt>B</dt>
<dd>=5000, number of simulation runs.</dd>

</dl>

testC: run tests using either simulation or permutation.

Description

Usage

Value

Arguments