cor.mtest

Input matrix of size <code>NxF</code>,
with <code>N</code> rows that represent samples
and <code>F</code> columns that represent features.

Additional arguments passed to function <code><a rd-options="" href="/link/cor.test?package=corrplot&version=0.92" data-mini-rdoc="corrplot::cor.test">cor.test</a></code>,
e.g. <code>conf.level = 0.95</code>.

&#8230;

Significance test which produces p-values and confidence intervals for each
pair of input features.

P-value

confidence

significance

Provides a visual exploratory tool on correlation matrix that supports automatic variable reordering to help detect hidden patterns among variables.

Taiyun Wei

corrplot

Visualization of a Correlation Matrix

Viliam Simko

Michael Levy

Yihui Xie

Yan Jin

Jeff Zemla

Moritz Freidank

Jun Cai

Tomas Protivinsky

cor.mtest function

<dl><dt>mat</dt>
<dd>Input matrix of size <code>NxF</code>,
with <code>N</code> rows that represent samples
and <code>F</code> columns that represent features.</dd>
<dt>...</dt>
<dd>Additional arguments passed to function <code><a href="/link/cor.test?package=corrplot&version=0.92" data-mini-rdoc="corrplot::cor.test">cor.test</a></code>,
e.g. <code>conf.level = 0.95</code>.</dd></dl>

Arguments

Significance test which produces p-values and confidence intervals for each
pair of input features. — cor.mtest

<dl>

<dt>mat</dt>
<dd>Input matrix of size <code>NxF</code>,
with <code>N</code> rows that represent samples
and <code>F</code> columns that represent features.</dd>


<dt>...</dt>
<dd>Additional arguments passed to function <code><a href='https://rdrr.io/r/stats/cor.test.html'>cor.test</a></code>,
e.g. <code>conf.level = 0.95</code>.</dd>

</dl>

cor.mtest: Significance test which produces p-values and confidence intervals for each pair of input features.

Description

Usage

Value

Arguments

See Also