unitVarianceScaling

This function performs scaling of binned data to unit variance so that each
bin has variance 1 and mean 0. This is
rarely necessary, but might be advantageous, e.g. in artificial neural networks.

A collection of functions for processing and analyzing metabolite data.
The namesake function mrbin() converts 1D
or 2D Nuclear Magnetic Resonance data into a matrix of values suitable for further data analysis and
performs basic processing steps in a reproducible way. Negative values, a
common issue in such data, can be replaced by positive values (<doi:10.1021/acs.jproteome.0c00684>). All used
parameters are stored in a readable text file and can be restored from that
file to enable exact reproduction of the data at a later time. The function fia() ranks features according
to their impact on classifier models, especially artificial neural network models.

Matthias Klein

mrbin

Metabolomics Data Analysis Functions

unitVarianceScaling function

<dl><dt>mrbinResults</dt>
<dd>An mrbin object</dd>
<dt>verbose</dt>
<dd>Should a summary be printed?</dd>
<dt>errorsAsWarnings</dt>
<dd>If TRUE, errors will be turned into warnings. Should be used with care, as errors indicate undocumented changes to the data.</dd></dl>

Arguments

A function for scaling to unit variance. — unitVarianceScaling

<dl>

<dt>mrbinResults</dt>
<dd>An mrbin object</dd>


<dt>verbose</dt>
<dd>Should a summary be printed?</dd>


<dt>errorsAsWarnings</dt>
<dd>If TRUE, errors will be turned into warnings. Should be used with care, as errors indicate undocumented changes to the data.</dd>

</dl>

unitVarianceScaling: A function for scaling to unit variance.

Description

Usage

Value

Arguments

Examples