sampleWeights: Accessor function for the 'sampleWeights' information in a...

In bhklab/mRMRe: Parallelized Minimum Redundancy, Maximum Relevance (mRMR)

Description

TODO

Usage

## S4 method for signature 'mRMRe.Data'
sampleWeights(object)
## S4 replacement method for signature 'mRMRe.Data'
sampleWeights(object) <- value

Arguments

object	a mRMRe.Data object.
value	a numeric vector containing the biases of each sample in the mutual information computation.

Author(s)

Nicolas De Jay, Simon Papillon-Cavanagh, Benjamin Haibe-Kains

Examples

set.thread.count(2)
data(cgps)
feature_data <- mRMR.data(data = data.frame(cgps.ge))

# Uniform weight (default)
sampleWeights(feature_data)

# Random weighting  
sampleWeights(feature_data) <- runif(sampleCount(feature_data))
# Show result
sampleWeights(feature_data)

bhklab/mRMRe documentation built on Sept. 3, 2021, 10:50 p.m.