subsetData: Returns a mRMRe.Data object using a subset of the current...

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

Returns a mRMRe.Data object using a subset of the current mRMRe.Data object.

Description

This method is used to extract a subset of the current mRMRe.Data object.

Usage

## S4 method for signature 'mRMRe.Data'
subsetData(object, row_indices, column_indices)

Arguments

object	a mRMRe.Data object.
row_indices	An integer vector of the rows to be included in the subset.
column_indices	An integer vector of the columns to be included in the subset.

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))
# Subset the same dimensions, equivalent to making a copy
feature_data_copy <- subsetData(feature_data, 
    row_indices=sampleCount(feature_data),
		column_indices=featureCount(feature_data))

# Use only half of the samples
feature_data_samples <- subsetData(feature_data, row_indices=sampleCount(feature_data)/2)

# Use only half of the features
feature_data_features <- subsetData(feature_data,
    column_indices=featureCount(feature_data))

mRMRe documentation built on April 25, 2023, 9:13 a.m.