runif_replace

Generate <code>n</code> random numbers following a uniform distribution 
between <code>min</code> and <code>max</code>. The values in <code>ref</code> can be chosen or not, 
according to <code>original</code>.

internal

Implementation of models for the controlled introduction of errors in
classification datasets. This package contains the noise models described in
Saez (2022) <doi:10.3390/math10203736> that allow corrupting class labels,
attributes and both simultaneously.

Jos<c3><a9> A. S<c3><a1>ez

noisemodel

Noise Models for Classification Datasets

José A. Sáez

runif_replace function

<dl><dt>n</dt>
<dd>an integer with the amount of random numbers to generate.</dd>
<dt>min</dt>
<dd>a double with the lower limit of the distribution.</dd>
<dt>max</dt>
<dd>a double with the upper limit of the distribution.</dd>
<dt>original</dt>
<dd>a boolean indicating if the values in <code>ref</code> can be chosen.</dd>
<dt>ref</dt>
<dd>a double vector with <code>n</code> reference values.</dd></dl>

Arguments

Random numbers considering reference values — runif_replace

<dl>

<dt>n</dt>
<dd>an integer with the amount of random numbers to generate.</dd>


<dt>min</dt>
<dd>a double with the lower limit of the distribution.</dd>


<dt>max</dt>
<dd>a double with the upper limit of the distribution.</dd>


<dt>original</dt>
<dd>a boolean indicating if the values in <code>ref</code> can be chosen.</dd>


<dt>ref</dt>
<dd>a double vector with <code>n</code> reference values.</dd>

</dl>

runif_replace: Random numbers considering reference values

Description

Usage

Value

Arguments