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

Description Usage Arguments Examples

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

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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

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

DeclareDesign/fabricatr documentation built on May 6, 2019, 1:57 p.m.