Synthesis by simple random sampling

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