powerC

Find the power of various continuous tests via simutation 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

powerC function

<dl><dt>rxy</dt>
<dd>a function that generates x and y data.</dd>
<dt>xparam</dt>
<dd>arguments for r1.</dd>
<dt>yparam</dt>
<dd>arguments for r2.</dd>
<dt>TS</dt>
<dd>routine to calculate test statistics for non-chi-square tests</dd>
<dt>typeTS</dt>
<dd>indicator for type of test statistics</dd>
<dt>TSextra</dt>
<dd>additional info passed to TS, if necessary</dd>
<dt>B</dt>
<dd>=1000 number of simulation runs</dd></dl>

Arguments

Find the power of various continuous tests via simutation or permutation. — powerC

<dl>

<dt>rxy</dt>
<dd>a function that generates x and y data.</dd>


<dt>xparam</dt>
<dd>arguments for r1.</dd>


<dt>yparam</dt>
<dd>arguments for r2.</dd>


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


<dt>typeTS</dt>
<dd>indicator for type of test statistics</dd>


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


<dt>B</dt>
<dd>=1000 number of simulation runs</dd>

</dl>

powerC: Find the power of various continuous tests via simutation or permutation.

Description

Usage

Value

Arguments