stability.selection.top.var: Compute Lustgarten's stability measure ASM (N) dependence for...

In biocsuwb/EnsembleFS-package: Ensemble feature selection methods for analysis of molecular data

Compute Lustgarten's stability measure ASM (N) dependence for top-N variables N = 5,10,15,20,30,40,50,75,100

Description

Compute Lustgarten's stability measure ASM (N) dependence for top-N variables N = 5,10,15,20,30,40,50,75,100

Usage

stability.selection.top.var(list.selected.var, list.index.cross)

Arguments

list.selected.var	A list with selected variables in cross-validation
list.index.cross	A list with indexes obtained in cross-validation

Details

Compute Lustgarten's stability measure ASM (N) dependence for top-N variables N = 5,10,15,20,30,40,50,75,100 for variables selected in cross-validation

Value

A data.frame with the result Lustgarten's stability measure ASM (N) dependence for top-N variables N = 5,10,15,20,30,40,50,75,100

Examples

## Not run: 

class <- data$class
data$class <- NULL

list.index.cross <- cross.val(x = data,
                             y = decisions,
                             method = 'kfoldcv',
                             params.cv = list(niter = 10, k = 3))

list.selected.var <- feature.selection(x = data,
                             y = class,
                             method = 'fs.utest',
                             list.index.cross = indexes,
                             params = list(adjust = 'holm', alpha = 0.05))

result.stability <- stabilty.selection.top.var(list.selected.var, list.index.cross)


## End(Not run)

biocsuwb/EnsembleFS-package documentation built on Dec. 9, 2024, 5:32 p.m.