syn.sample: Synthesis by simple random sampling
Description
Generates a random sample from the observed data.
Usage
syn.sample(y, xp, smoothing, cont.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 a continous variable.
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.
Value
A vector of length k with synthetic values.
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.