transformationNone-class

This class is for transformers that do not alter the data.

Location- and scale-invariant Box-Cox and Yeo-Johnson power transformations
allow for transforming variables with distributions distant from 0 to
normality. Transformers are implemented as S4 objects. These allow for
transforming new instances to normality after optimising fitting parameters
on other data. A test for central normality allows for rejecting
transformations that fail to produce a suitably normal distribution,
independent of sample number.

Alex Zwanenburg

power.transform

Location and Scale Invariant Power Transformations

Steffen Löck

German Cancer Research Center (DKFZ) 

transformationNone-class function

<dl>
<dt><code>method</code></dt>
<dd>Main transformation method, i.e. <code>"none"</code>.</dd></dl>
<dt><code>complete</code></dt>
<dd>Indicates whether transformation parameters were set.</dd>

Slots

No transformation object — transformationNone-class

<dl>
<dt><code>method</code></dt>
<dd>Main transformation method, i.e. <code>"none"</code>.</dd>


<dt><code>complete</code></dt>
<dd>Indicates whether transformation parameters were set.</dd>


</dl>

transformationNone-class: No transformation object

Description

Arguments

Slots