cor.boot.ci

Returns a bootstrap confidence interval for any of the correlations available in the base R 
<code>cor</code> function.

Accompanies the book "Nonparametric Statistical Methods Using R, 2nd Edition" by Kloke and McKean (2024, ISBN:9780367651350).  Includes methods, datasets, and random number generation useful for the study of robust and/or nonparametric statistics.  Emphasizes classical nonparametric methods for a variety of designs --- especially one-sample and two-sample problems.  Includes methods for general scores, including estimation and testing for the two-sample location problem as well as Hogg's adaptive method.

John Kloke

npsm

Nonparametric Statistical Methods

Joseph McKean

cor.boot.ci function

<dl> <dt>x</dt>
<dd>n by 1 vector</dd> <dt>y</dt>
<dd>n by 1 vector</dd> <dt>method</dt>
<dd>Which correlation to use. Argument passed to <code>cor</code>.</dd> <dt>conf</dt>
<dd>Confidence level.</dd> <dt>nbs</dt>
<dd>number of bootstrap samples to base CI on.</dd></dl>

Arguments

Author

Confidence interval for a correlation based on a bootstrap. — cor.boot.ci

<dl>

 <dt>x</dt>
<dd>n by 1 vector</dd>

 <dt>y</dt>
<dd>n by 1 vector</dd>

 <dt>method</dt>
<dd>Which correlation to use. Argument passed to <code>cor</code>.</dd>

 <dt>conf</dt>
<dd>Confidence level.</dd>

 <dt>nbs</dt>
<dd>number of bootstrap samples to base CI on.</dd>

</dl>

cor.boot.ci: Confidence interval for a correlation based on a bootstrap.

Description

Usage

Value

Arguments

Author

Details

See Also

Examples