split_quantile

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. <code>split_quantile</code> can automatically produce this split using any
data <code>x</code> and any number of splits `type.

Helps you imagine your data before you collect it. Hierarchical data structures
and correlated data can be easily simulated, either from random number generators or
by resampling from existing data sources. This package is faster with 'data.table' and
'mvnfast' installed.

Graeme Blair

fabricatr

Imagine Your Data Before You Collect It

Jasper Cooper

Alexander Coppock

Macartan Humphreys

Aaron Rudkin

Neal Fultz

David C. Hall

split_quantile function

<dl><dt>x</dt>
<dd>A vector of any type that can be ordered -- i.e. numeric or factor
where factor levels are ordered.</dd>
<dt>type</dt>
<dd>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.</dd></dl>

Arguments

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

<dl>

<dt>x</dt>
<dd>A vector of any type that can be ordered -- i.e. numeric or factor
where factor levels are ordered.</dd>


<dt>type</dt>
<dd>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.</dd>

</dl>

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

Description

Usage

Arguments

Examples