Methods for topTable. topTable extracts the top n most important features for a given classification or regression procedure
方法为topTable。 topTable提取的前n个最重要的功能对于一个给定的分类或回归过程
参数----------Arguments----------
参数:fit
object resulting from a classification or regression procedure
从分类或回归过程的对象产生
参数: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
一些功能,你想从一个表中提取,居所有功能,根据其在分类或回归模型的重要性,默认为10 limma对象
方法----------Methods----------
glmnet and lognet
glmnet和lognet
fit = "glmnet", n = "numeric" glmnet objects are produced by lassoClass (a4Classif) or
适合=“glmnet”,是由N =“数字”glmnet的对象lassoClass(a4Classif)或
fit = "lognet", n = "numeric" lognet objects are produced by lassoClass (a4Classif) or
适合=“lognet”,是由N =“数字”lognet的对象lassoClass(a4Classif)或
fit = "elnet", n = "numeric" lognet objects are produced by lassoClass (a4Classif) or
适合=“elnet”,是由N =“数字”lognet的对象lassoClass(a4Classif)或