syn.sample: Synthesis by simple random sampling

In bnowok/synthpop: Generating Synthetic Versions of Sensitive Microdata for Statistical Disclosure Control

Synthesis by simple random sampling

Description

Generates a random sample from the observed data.

Usage

syn.sample(y, xp, smoothing = "", cont.na = NA, proper = FALSE, ...)

Arguments

y	an original data vector of length n.
xp	a target length k of a synthetic data vector.
smoothing	smoothing method for numeric variable. See documentation for syn.smooth.
cont.na	a vector of codes for missing values for continuous variables that should be excluded from smoothing.
proper	if proper = TRUE values are sampled from a bootstrapped sample of the original data.
...	additional parameters passed to sample.

Details

A simple random sample with replacement is taken from the observed values in y and used as synthetic values. A Guassian kernel smoothing can be applied to continuous variables by setting smoothing parameter to "density". It is recommended as a tool to decrease the disclosure risk.

Value

A list with two components:

res	a vector of length k with synthetic values of y.
fit	a name of the method used for synthesis ("sample").

See Also

syn, syn.smooth

bnowok/synthpop documentation built on Sept. 1, 2022, 2:41 p.m.