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. 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

test_methods function

<dl><dt>doMethods</dt>
<dd>="all" Which methods should be included?</dd>
<dt>Continuous</dt>
<dd>is data continuous</dd>
<dt>UseLargeSample</dt>
<dd>should p values be found via large sample theory?</dd>
<dt>WithWeights</dt>
<dd>with weights?</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>UseLargeSample</dt>
<dd>should p values be found via large sample theory?</dd>


<dt>WithWeights</dt>
<dd>with weights?</dd>

</dl>

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

Description

Usage

Value

Arguments