ClassificationHistogram

<code>ClassificationHistogram</code> will plot the results of ClassificationWrapper.

A set of functions to investigate raw data from (metabol)omics experiments intended to be used on a raw data matrix, i.e. following peak picking and signal deconvolution. Functions can be used to normalize data, detect biomarkers and perform sample classification. A detailed description of best practice usage may be found in the publication <doi:10.1007/978-1-4939-7819-9_20>.

Jan Lisec

MetabolomicsBasics

Basic Functions to Investigate Metabolomics Data Matrices

ClassificationHistogram function

<dl><dt>out_classific</dt>
<dd>Output of ClassificationWrapper.</dd>
<dt>breaks</dt>
<dd>Breaks for histogram.</dd>
<dt>...</dt>
<dd>Passed on to <code>par</code>. Useful to adjust <code>cex</code>.</dd></dl>

Arguments

ClassificationHistogram. — ClassificationHistogram

<dl>

<dt>out_classific</dt>
<dd>Output of ClassificationWrapper.</dd>


<dt>breaks</dt>
<dd>Breaks for histogram.</dd>


<dt>...</dt>
<dd>Passed on to <code>par</code>. Useful to adjust <code>cex</code>.</dd>

</dl>

ClassificationHistogram: ClassificationHistogram.

Description

Usage

Value

Arguments

Details