transformationYeoJohnson-class

transformationYeoJohnsonInvariant-class

This class is used for Yeo-Johnson transformations.

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) 

transformationYeoJohnson-class function

<dl>
<dt><code>method</code></dt>
<dd>Main transformation method, i.e. <code>"yeo_johnson"</code>.</dd></dl>
<dt><code>robust</code></dt>
<dd>Indicates whether a robust version of the Yeo-Johnson
transformation is used to set transformation parameters. The value depends
on the <code>robust</code> argument of the <code>find_transformation_parameters</code> function.</dd>
<dt><code>lambda</code></dt>
<dd>Numeric lambda parameter for the Yeo-Johnson transformation.</dd>
<dt><code>shift</code></dt>
<dd>Numeric shift parameter for the Yeo-Johnson transformation. If
<code>invariant=TRUE</code> in the <code>find_transformation_parameters</code> function,
<code>lambda</code>, <code>shift</code> and <code>scale</code> parameters are optimised simultaneously.
Otherwise, the <code>shift</code> parameter has a value of <code>0.0</code>.</dd>
<dt><code>scale</code></dt>
<dd>Numeric scale parameter for the Yeo-Johnson transformation. If
<code>invariant=TRUE</code> in the <code>find_transformation_parameters</code> function,
<code>lambda</code>, <code>shift</code> and <code>scale</code> parameters are optimised simultaneously.
Otherwise, the <code>scale</code> parameter has a value of <code>1.0</code>.</dd>
<dt><code>complete</code></dt>
<dd>Indicates whether transformation parameters were set.</dd>

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Yeo-Johnson transformation object — transformationYeoJohnson-class

<dl>
<dt><code>method</code></dt>
<dd>Main transformation method, i.e. <code>"yeo_johnson"</code>.</dd>


<dt><code>robust</code></dt>
<dd>Indicates whether a robust version of the Yeo-Johnson
transformation is used to set transformation parameters. The value depends
on the <code>robust</code> argument of the <code>find_transformation_parameters</code> function.</dd>


<dt><code>lambda</code></dt>
<dd>Numeric lambda parameter for the Yeo-Johnson transformation.</dd>


<dt><code>shift</code></dt>
<dd>Numeric shift parameter for the Yeo-Johnson transformation. If
<code>invariant=TRUE</code> in the <code>find_transformation_parameters</code> function,
<code>lambda</code>, <code>shift</code> and <code>scale</code> parameters are optimised simultaneously.
Otherwise, the <code>shift</code> parameter has a value of <code>0.0</code>.</dd>


<dt><code>scale</code></dt>
<dd>Numeric scale parameter for the Yeo-Johnson transformation. If
<code>invariant=TRUE</code> in the <code>find_transformation_parameters</code> function,
<code>lambda</code>, <code>shift</code> and <code>scale</code> parameters are optimised simultaneously.
Otherwise, the <code>scale</code> parameter has a value of <code>1.0</code>.</dd>


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


</dl>

transformationYeoJohnson-class: Yeo-Johnson transformation object

Description

Arguments

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See Also