<code>XY</code> performs permutation test on correlation coefficients.

Perform permutation-based hypothesis testing for randomized
experiments as suggested in Ludbrook & Dudley (1998) <doi:10.2307/2685470>
and Ernst (2004) <doi:10.1214/088342304000000396>, introduced in Pham et al.
(2022) <doi:10.1016/j.chemosphere.2022.136736>.

Duy Nghia Pham

peramo

Permutation Tests for Randomization Model

Inna M. Sokolova

XY function

<dl><dt>a</dt>
<dd>a numeric vector, the first variable.</dd>
<dt>b</dt>
<dd>a numeric vector, the second variable.</dd>
<dt>rand</dt>
<dd>an integer, the number of randomization samples. The default value
is 9999.</dd>
<dt>seed</dt>
<dd>an integer, the seed for random number generation. Setting a seed
ensures the reproducibility of the result. See <code><a href="/link/set.seed?package=peramo&version=0.1.3" data-mini-rdoc="peramo::set.seed">set.seed</a></code> for
more details.</dd>
<dt>method</dt>
<dd>correlation coefficient, "pearson", "kendall", or "spearman".</dd></dl>

Arguments

Permutation Test for Correlation Between Paired Samples — XY

<dl>

<dt>a</dt>
<dd>a numeric vector, the first variable.</dd>


<dt>b</dt>
<dd>a numeric vector, the second variable.</dd>


<dt>rand</dt>
<dd>an integer, the number of randomization samples. The default value
is 9999.</dd>


<dt>seed</dt>
<dd>an integer, the seed for random number generation. Setting a seed
ensures the reproducibility of the result. See <code><a href='https://rdrr.io/r/base/Random.html'>set.seed</a></code> for
more details.</dd>


<dt>method</dt>
<dd>correlation coefficient, "pearson", "kendall", or "spearman".</dd>

</dl>

XY: Permutation Test for Correlation Between Paired Samples

Description

Usage

Value

Arguments

See Also

Examples