topTable-methods

topTable,glmnet-method

topTable,limma-method

topTable,MArrayLM-method

topTable,pamClass-method

topTable,rfClass-method

topTable,tTest-method

topTable,fTest-method

object resulting from a classification or regression procedure

number of features that one wants to extract from a table that
    ranks all features according to their importance in the classification
    or regression model; defaults to 10 for limma objects


  Methods for topTable. topTable extracts the top n most important features
  for a given classification or regression procedure 


manip

methods

Tobias Verbeke

a4Base

Automated Affymetrix Array Analysis Base Package

topTable-methods function

<dl> glmnet <dt>fit = "glmnet", n = "numeric"</dt><dd>glmnet objects are produced by <code>lassoClass</code> or <code>lassoReg</code></dd> limma <dt>fit = "limma", n = "numeric"</dt><dd>limma objects are produced by <code>limma2Groups</code></dd> MarrayLM <dt>fit = "limma", n = "numeric"</dt><dd>MarrayLM objects are produced by <code>lmFit</code> of the <code>limma package</code></dd> pamClass <dt>fit = "pamClass", n = "numeric"</dt><dd>pamClass objects are produced by <code>pamClass</code></dd> rfClass <dt>fit = "rfClass", n = "numeric"</dt><dd>rfClass objects are produced by <code>rfClass</code></dd> tTest <dt>fit = "tTest", n = "numeric"</dt><dd>tTest objects are produced by <code>tTest</code></dd> fTest <dt>fit = "fTest", n = "numeric"</dt><dd>fTest objects are produced by <code>fTest</code></dd> </dl> 

Methods

Methods for topTable

topTable-methods: Methods for topTable

Description

Arguments

Methods