topTable-methods

topTable,glmnet-method

topTable,lognet-method

topTable,elnet-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

Automated Affymetrix Array Analysis Core Package

Tobias Verbeke

a4Core

topTable-methods function

<dl> glmnet and lognet <dt>fit = "glmnet", n = "numeric"</dt><dd>glmnet objects are produced by <code>lassoClass</code> (a4Classif) or 
  <code>lassoReg</code> (a4Base)</dd> <dt>fit = "lognet", n = "numeric"</dt><dd>lognet objects are produced by <code>lassoClass</code> (a4Classif) or 
  <code>lassoReg</code> (a4Base)</dd> <dt>fit = "elnet", n = "numeric"</dt><dd>lognet objects are produced by <code>lassoClass</code> (a4Classif) or 
  <code>lassoReg</code> (a4Base)</dd> </dl> 

Methods

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

topTable-methods: Methods for topTable

Description

Arguments

Methods