sdcMicro (version 5.0.2)

dataGen: Fast generation of synthetic data

Description

Fast generation of (primitive) synthetic multivariate normal data.

Usage

dataGen(obj, ...)

Arguments

obj

an sdcMicroObj-class-object or a data.frame

...

see possible arguments below

• namount of observations for the generated data

Value

the generated synthetic data.

Details

Uses the cholesky decomposition to generate synthetic data with approx. the same means and covariances. For details see at the reference.

References

Have a look at https://web.archive.org/web/20110906030928/http://crises2-deim.urv.cat/docs/publications/lncs/443.pdf

See Also

sdcMicroObj-class, shuffle

Examples

# NOT RUN {
data(mtcars)
cov(mtcars[,4:6])
cov(dataGen(mtcars[,4:6]))
pairs(mtcars[,4:6])
pairs(dataGen(mtcars[,4:6]))

## for objects of class sdcMicro:
data(testdata2)
sdc <- createSdcObj(testdata2,
  keyVars=c('urbrur','roof','walls','water','electcon','relat','sex'),
  numVars=c('expend','income','savings'), w='sampling_weight')
sdc <- dataGen(sdc)
# }