quants: Calculate cuts by quantiles

In lares: Analytics & Machine Learning Sidekick

Calculate cuts by quantiles

Description

This function lets the user quickly calculate cuts for quantiles and discretize numerical values into categorical values.

Usage

quants(values, splits = 10, return = "labels", n = 2)

Arguments

values	Vector. Values to calculate quantile cuts
splits	Integer. How many cuts should split the values?
return	Character. Return "summary" or "labels"
n	Integer. Determines the number of digits used in formatting the break numbers.

Value

Factor vector or data.frame. Depending on return input:

• labels a factor ordered vector with each observation's quantile

• summary a data.frame with information on each quantile cut

See Also

Other Data Wrangling: balance_data(), categ_reducer(), cleanText(), date_cuts(), date_feats(), file_name(), formatHTML(), holidays(), impute(), left(), normalize(), num_abbr(), ohe_commas(), ohse(), removenacols(), replaceall(), replacefactor(), textFeats(), textTokenizer(), vector2text(), year_month(), zerovar()

Other Calculus: corr(), dist2d(), model_metrics()

Examples

data(dft) # Titanic dataset
quants(dft$Age, splits = 5, "summary")
quants(dft$Age, splits = 5, "labels")[1:10]

lares documentation built on Sept. 13, 2024, 1:08 a.m.