split_quantile {fabricatr}

Split data into quantile buckets (e.g. terciles, quartiles, quantiles, deciles).

Description

Survey data is often presented in aggregated, depersonalized form, which can involve binning underlying data into quantile buckets; for example, rather than reporting underlying income, a survey might report income by decile. split_quantile can automatically produce this split using any data x and any number of splits 'type.

Usage

split_quantile(x = NULL, type = NULL)

Arguments

x

A vector of any type that can be ordered – i.e. numeric or factor where factor levels are ordered.

type

The number of buckets to split data into. For a median split, enter 2; for terciles, enter 3; for quartiles, enter 4; for quintiles, 5; for deciles, 10.

Examples

# Divide this arbitrary data set in 3.
data_input <- rnorm(n = 100)
split_quantile(x = data_input, type = 3)