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)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.