discretize_get_bins: Get the data frame thresholds for discretization

In funModeling: Exploratory Data Analysis and Data Preparation Tool-Box

Get the data frame thresholds for discretization

Description

It takes a data frame and returns another data frame indicating the threshold for each bin (or segment) in order to discretize the variable.

Usage

discretize_get_bins(data, n_bins = 5, input = NULL)

Arguments

data	Data frame source
n_bins	The number of desired bins (or segments) that each variable will have.
input	Vector of string containing all the variables that will be processed. If empty it will run for all numerical variables that match the following condition, the number of unique values must be higher than the ones defined at 'n_bins' parameter. NAs values are automatically handled by converting them into another category (more info about it at https://livebook.datascienceheroes.com/data-preparation.html#treating-missing-values-in-numerical-variables). This function must be used with discretize_df. If it is needed a different number of bins per variable, then the function must be called more than once.

Value

Data frame containing the thresholds or cuts to bin every variable

funModeling documentation built on May 29, 2024, 3:24 a.m.