graph.result: Showing result ensemble

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

Showing result ensemble

Description

Showing result ensemble

Usage

graph.result(x, y)

Arguments

x	A data.frame with data result metrics model and Lustgarten’s stability measure
y	what is showing , please selected : stability, acc, auc, mcc.

Details

The function creates a graph showing Lustgarten's stability measure ASM (N) for top-N variables N = 5,10,15,20,30,40,50,75,100 for selected FS The function creates a graph showing the dependence of the selected metrics model(N) N = 5,10,15,20,30,40,50,75,100 for selected FS

Value

graph showing

Examples

## Not run: 

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

result <- ensembleFS(data,
           decisions,
           methods = c('fs.utest', 'fs.mrmr'),
           method = 'kfoldcv',
           params.cv = list(k = 3, iter = 10),
           level.cor = 0.75,
           params = list(adjust = 'fdr', feature.number = 10, alpha = 0.05),
           asm = c('fs.utest', 'fs.mrmr'),
           model = c('fs.utest', 'fs.mrmr')
           )



graph.result(result$stability, 'stability')

graph.result(result$model, 'acc')


## End(Not run)

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