DataExplorer (version 0.2.6)

SplitColType: Split data into discrete and continuous

Description

This function splits the input data into two data.table objects: discrete and continuous. A feature is continuous if is.numeric returns TRUE.

Usage

SplitColType(data)

Arguments

data

input data to be split, in either data.frame or data.table format.

Value

discrete all discrete features in data.table formatcontinous all continuous features in data.table formatnum_discrete number of discrete featuresnum_continuous number of continuous features

Details

Features with all missing values will be dropped from the output data, but will be counted towards the column count.

Examples

output <- SplitColType(iris)
output$discrete
output$continuous
output$num_discrete
output$num_continuous
output$num_all_missing