get.fs.len: Get Length of Feature Subset for Validation

In mt: Metabolomics Data Analysis Toolbox

Get Length of Feature Subset for Validation

Description

Get feature lengths for feature selection validation by classification.

Usage

  get.fs.len(p,fs.len=c("power2"))

Arguments

p

Number of features in the data set.

fs.len

Method or numeric sequence for feature lengths. It can be a numeric vector as user-defined feature lengths, or methods: full. The feature lengths are p, ..., 2, 1. This is an exhaustive method. If p is too large, it will consume a lot of time and hence it is not practical. half. The feature lengths are the sequence of p, p/2, p/2/2, ..., 1. power2. The feature lengths are the sequence of p, 2^(log2(p)-1), ..., 2^1, 2^0.

Details

The generation of feature length is used in the validation of feature subsets by classification. The feature length decide the lengths of feature subset starting from top of the full feature order list.

Value

An descending order numeric vector of feature lengths.

Note

The last length of feature returned is always p.

Author(s)

Wanchang Lin

See Also

fs.rfe, frank.err, frankvali

Examples

data(abr1)
dat <- abr1$pos

## number of featres
p <- ncol(dat)

## predefined feature lengths. The returned will be descending order 
## vector with the first one is p.
(vec <- get.fs.len(p, fs.len=c(1,2,3,4,5,6,7,8,9,10)))

## use all features as feature lengths
(vec.full <- get.fs.len(p, fs.len="full"))

## use "half"
(vec.half <- get.fs.len(p, fs.len="half"))

## use "power2"
(vec.power2 <- get.fs.len(p, fs.len="power2"))

mt documentation built on June 22, 2024, 12:24 p.m.