sdcMicro (version 3.1.1)

pram_strata: Post Randomization

Description

To be used on categorical data. It randomly change the values of variables on selected records (normally the risky ones) according to an invariant probability transition matrix.

Usage

pram_strata(data, variables = NULL, strata_variables = NULL, weights = NULL, seed = NULL, missing = -999)
## S3 method for class 'pram_strata':
print(x, ...)

Arguments

data

Input data

variables

Names of variables for Post Randomization

strata_variables

Names of variables for stratification

weights

a weight for each variable

seed

Integer value for the random seed

missing

A integer value to be used as missing value in the C++ routine

x

Output of pram_strata

...

currently unused

Value

• For each randomized variable a new variable with the suffix "_pram" will be created.

References

http://www.gnu.org/software/glpk http://www.ccsr.ac.uk/sars/guide/2001/pram.pdf

See Also

pram

Examples

data(testdata)
  res <- pram_strata(testdata,variables="roof",strata_variables=c("urbrur","sex"))
  print(res)
  res1 <- pram_strata(testdata,variables=c("roof","walls","water"),strata_variables=c("urbrur","sex"))
  print(res1)