optim_sample_strata

for internal use only! This function computes the optimal strata
from the distribution of the given y

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

optim_sample_strata function

<dl><dt>y</dt>
<dd>a matrix of one column with the response variable.</dd>
<dt>n</dt>
<dd>number of samples that must be sampled.</dd></dl>

Arguments

A function to construct an optimal strata for the samples, based on
the distribution of the given y. — optim_sample_strata

<dl>

<dt>y</dt>
<dd>a matrix of one column with the response variable.</dd>


<dt>n</dt>
<dd>number of samples that must be sampled.</dd>

</dl>

optim_sample_strata: A function to construct an optimal strata for the samples, based on the distribution of the given y.

Description

Usage

Value

Arguments