split_quantile: Split data into quantile buckets (e.g. terciles, quartiles,...

In fabricatr: Imagine Your Data Before You Collect It

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)

fabricatr documentation built on May 29, 2024, 7:22 a.m.