trans_log

Applies a logarithmic transformation with an offset.
Useful for handling right-skewed data.

Provides functions for data normalization and transformation in
preprocessing stages. Implements scaling methods (min-max, Z-score, L2
normalization) and power transformations (Box-Cox, Yeo-Johnson). Box-Cox
transformation is described in Box and Cox (1964)
<doi:10.1111/j.2517-6161.1964.tb00553.x>, Yeo-Johnson transformation in
Yeo and Johnson (2000) <doi:10.1093/biomet/87.4.954>.

Rui Gong

prepkit

Data Normalization and Transformation

trans_log function

<dl><dt>x</dt>
<dd>A numeric vector.</dd>
<dt>base</dt>
<dd>A positive number. The base of the logarithm. Default is exp(1).</dd>
<dt>offset</dt>
<dd>A numeric value to add before taking the log. Default is 1.</dd></dl>

Arguments

Logarithmic Transformation — trans_log

<dl>

<dt>x</dt>
<dd>A numeric vector.</dd>


<dt>base</dt>
<dd>A positive number. The base of the logarithm. Default is exp(1).</dd>


<dt>offset</dt>
<dd>A numeric value to add before taking the log. Default is 1.</dd>

</dl>

trans_log: Logarithmic Transformation

Description

Usage

Value

Arguments

References