a4Core: topTable-methods – R documentation

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topTable-methods

Methods for topTable

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

`fit`	object resulting from a classification or regression procedure
`n`	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

glmnet and lognet

fit = "glmnet", n = "numeric"glmnet objects are produced by lassoClass (a4Classif) or lassoReg (a4Base)
fit = "lognet", n = "numeric"lognet objects are produced by lassoClass (a4Classif) or lassoReg (a4Base)
fit = "elnet", n = "numeric"elnet objects are produced by lassoClass (a4Classif) or lassoReg (a4Base)

Automated Affymetrix Array Analysis Core Package

v1.38.0

GPL-3

Authors

Willem Talloen [aut], Tobias Verbeke [aut], Laure Cougnaud [cre]

Initial release

2020-10-14