DataExplorer (version 0.2.4)

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 format

  continous all continuous features in data.table format

  num_discrete number of discrete features

  num_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