get_ig: Get information gain

In FCBF: Fast Correlation Based Filter for Feature Selection

Description

This functions runs information gain for a feature table and a class, returning the scores of information gain for all features

Usage

get_ig(x, y)

Arguments

x	A table of features (observations in rows, variables in columns)
y	A target vector, factor containing classes of the observations. Note: the observations must be in the same order as the parameter x.

Value

A dataframe containing the SU values for each feature

Examples

data(scDengue)
exprs <- SummarizedExperiment::assay(scDengue, 'logcounts')
discrete_expression <- as.data.frame(discretize_exprs(exprs))
infection <- SummarizedExperiment::colData(scDengue)
target <- infection$infection
ig_values <- get_ig(discrete_expression[,],target[])
ig_values[1:10,]

FCBF documentation built on Nov. 8, 2020, 8:30 p.m.