combine.twosamples

This function combines two <code>twosamples</code> objects -- concatenating bootstraps, recalculating pvalues, etc.
It only works if both objects were created with "keep.boots=T" This function is intended for one main purposes: combining parallized null calculations and then plotting those combined outputs.

Fast randomization based two sample tests.
Testing the hypothesis that two samples come from the same distribution using randomization to create p-values. Included tests are: Kolmogorov-Smirnov, Kuiper, Cramer-von Mises, Anderson-Darling, Wasserstein, and DTS. The default test (two_sample) is based on the DTS test statistic, as it is the most powerful, and thus most useful to most users.
The DTS test statistic builds on the Wasserstein distance by using a weighting scheme like that of Anderson-Darling. See the companion paper at <arXiv:2007.01360> or <https://codowd.com/public/DTS.pdf> for details of that test statistic, and non-standard uses of the package (parallel for big N, weighted observations, one sample tests, etc). We also include the permutation scheme to make test building simple for others.

Connor Dowd

twosamples

Fast Permutation Based Two Sample Tests

combine.twosamples function

<dl><dt>x</dt>
<dd>a twosamples object</dd>
<dt>y</dt>
<dd>a different twosamples object from the same <code>*_test</code> function run on the same data</dd>
<dt>check.sample</dt>
<dd>check that the samples saved in each object are the same? (can be slow)</dd></dl>

Arguments

Combine two objects of class twosamples — combine.twosamples

<dl>

<dt>x</dt>
<dd>a twosamples object</dd>


<dt>y</dt>
<dd>a different twosamples object from the same <code>*_test</code> function run on the same data</dd>


<dt>check.sample</dt>
<dd>check that the samples saved in each object are the same? (can be slow)</dd>

</dl>

combine.twosamples: Combine two objects of class `twosamples`

Description

Usage

Value

Arguments

See Also

Examples