testC

run test using either simulation or permutation.

internal

The routine twosample_test() in this package runs the
two sample test using various test statistic. The p values are
found via permutation or large sample theory. The routine twosample_power() allows the
calculation of the power in various cases, and plot_power() draws the corresponding power graphs.
The routine run.studies allows a user to quickly study the power of a new method and
how it compares to some of the standard ones.

Wolfgang Rolke

R2sample

Various Methods for the Two Sample Problem

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 test 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 test using either simulation or permutation.

Description

Usage

Value

Arguments