get_column_sds

Computes the standard deviation of each column in a matrix. For internal use only!

internal

Functions for dissimilarity analysis and memory-based learning
(MBL, a.k.a local modeling) in complex spectral data sets.
Most of these functions are based on the methods presented in
Ramirez-Lopez et al. (2013) <doi:10.1016/j.geoderma.2012.12.014>.

Leonardo RamirezLopez

resemble

Memory-Based Learning in Spectral Chemometrics

get_column_sds function

<dl><dt>X</dt>
<dd>a a matrix.</dd></dl>

Arguments

Author

Function for computing the standard deviation of each column in a matrix — get_column_sds

<dl>

<dt>X</dt>
<dd>a a matrix.</dd>

</dl>

get_column_sds: Function for computing the standard deviation of each column in a matrix

Description

Usage

Value

Arguments

Author