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>.

Synthesize numeric, categorical, mixed and time series data. Data
circumstances including mixed (or zero-inflated) distributions and missing
data patterns are reproduced in the synthetic data. A single parameter allows
balancing between high-quality synthetic data that represents correlations of
the original data and lower quality but more privacy safe synthetic data
without correlations. Tuning can be done per variable or for the whole
dataset.

Mark der Loo

synthesizer

Fast, Robust, and High-Quality Synthetic Data Generation with a
Tuneable Privacy-Utility Trade-Off

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>na.rm</dt>
<dd><code>[logical]</code> Remove missing values before creating a synthesizer</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>na.rm</dt>
<dd><code>[logical]</code> Remove missing values before creating a synthesizer</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