TransformParams

TransformParams-class

TransformParams,ANY-method

TransformParams,function-method


  Collects and checks necessary parameters required for transformation. The 
  empty constructor is for when no data transformation is desired. One data
  transformation function is distributed. See <code><a rd-options="" href="/link/subtractFromLocation?package=ClassifyR&version=1.6.2" data-mini-rdoc="ClassifyR::subtractFromLocation">subtractFromLocation</a></code>.


The software formalises a framework for classification in R.
There are four stages; Data transformation, feature selection, classifier training,
and prediction. The requirements of variable types and names are
fixed, but specialised variables for functions can also be provided.
The classification framework is wrapped in a driver loop, that
reproducibly carries out a number of cross-validation schemes.
Functions for differential expression, differential variability,
and differential distribution are included. Additional functions
may be developed by the user, by creating an interface to the framework.

Dario Strbenac

ClassifyR

A framework for two-class classification problems, with
applications to differential variability and differential
distribution testing

TransformParams function

<dl>
    <dt></dt><dd>
      <code>TransformParams(transform, intermediate = character(0), ...)</code>
      Creates a TransformParams object which stores the function which will do the
      transformation and parameters that the function will use.
	<dl>
            <dt><code>transform</code></dt><dd>A function which will do the transformation. The first
            argument must be an <code><a rd-options="Biobase" href="/link/ExpressionSet?package=ClassifyR&version=1.6.2&to=Biobase" data-mini-rdoc="Biobase::ExpressionSet">ExpressionSet</a></code> object.</dd> <dt><code>intermediate</code></dt><dd>Character vector. Names of any variables created in prior stages by
            <code><a rd-options="" href="/link/runTest?package=ClassifyR&version=1.6.2" data-mini-rdoc="ClassifyR::runTest">runTest</a></code> that need to be passed to a feature selection function.</dd> <dt><code>...</code></dt><dd>Other named parameters which will be used by the transformation function.</dd> </dl> </dd> </dl> 

Constructor

Collects and checks necessary parameters required for transformation. The 
  empty constructor is for when no data transformation is desired. One data
  transformation function is distributed. See <code><a href="subtractFromLocation" rd-options="">subtractFromLocation</a></code>.

TransformParams: Parameters for Data Transformation

Description

Arguments

Constructor

Examples