pcor

Partial correlation between x and y, after having adjusted both for z.

Easy-to-use, efficient, flexible and scalable statistical tools.
Package bigstatsr provides and uses Filebacked Big Matrices via memory-mapping.
It provides for instance matrix operations, Principal Component Analysis,
sparse linear supervised models, utility functions and more
<doi:10.1093/bioinformatics/bty185>.

Florian Privé

bigstatsr

Statistical Tools for Filebacked Big Matrices

Michael Blum

Hugues Aschard

pcor function

<dl><dt>x</dt>
<dd>A numeric vector.</dd>
<dt>y</dt>
<dd>A numeric vector.</dd>
<dt>z</dt>
<dd>A data frame, which can contain characters or factors.</dd>
<dt>alpha</dt>
<dd>Type-I error for the confidence interval (CI).
Default is <code>0.05</code>, corresponding to a 95% CI.</dd></dl>

Arguments

Partial correlation — pcor

<dl>

<dt>x</dt>
<dd>A numeric vector.</dd>


<dt>y</dt>
<dd>A numeric vector.</dd>


<dt>z</dt>
<dd>A data frame, which can contain characters or factors.</dd>


<dt>alpha</dt>
<dd>Type-I error for the confidence interval (CI).
Default is <code>0.05</code>, corresponding to a 95% CI.</dd>

</dl>

pcor: Partial correlation

Description

Usage

Value

Arguments

Examples