make_synthesizer

make_synthesizer.numeric

make_synthesizer.integer

make_synthesizer.logical

make_synthesizer.factor

make_synthesizer.character

make_synthesizer.ts

make_synthesizer.data.frame

Create a function that accepts a non-negative integer <code>n</code>, and
that returns synthetic data sampled from the emperical (multivariate)
distribution of <code>x</code>.

Data is synthesized using a combination of inverse transform
sampling using the empirical quantile functions for each variable, and
then copying the rank order structure from the original dataset. The
syntesizer method has a tunable parameter allowing to gradually move
from realistic and possibly unsafe synthetic data to decorrelated data
of less utility.

Mark der Loo

synthesizer

Synthesize Data Based on Empirical Quantile Functions and Rank
Order Matching

Mark van der Loo

make_synthesizer function

<dl><dt>x</dt>
<dd><code>[vector|data.frame]</code> Template data to be synthesized.</dd>
<dt>...</dt>
<dd>arguments passed to other methods</dd>
<dt>rankcor</dt>
<dd><code>[numeric]</code> in \((0,1]\) The correlations between the ranks of
the real data and synthetic data. Either a single
number or a vector of the form <code>c("variable1"=x1,...)</code>. Only used
if <code>x</code> is a data frame.</dd></dl>

Arguments

Create a function that generates synthetic data — make_synthesizer

<dl>

<dt>x</dt>
<dd><code>[vector|data.frame]</code> Template data to be synthesized.</dd>


<dt>...</dt>
<dd>arguments passed to other methods</dd>


<dt>rankcor</dt>
<dd><code>[numeric]</code> in \((0,1]\) The correlations between the ranks of
the real data and synthetic data. Either a single
number or a vector of the form <code>c("variable1"=x1,...)</code>. Only used
if <code>x</code> is a data frame.</dd>

</dl>

Create a function that generates synthetic data

make_synthesizer: Create a function that generates synthetic data

Description

Usage

Value

Arguments

See Also

Examples