print.sdcMicroObj {sdcMicro}

Print and Extractor Functions for objects of class sdcMicroObj-class

Description

Descriptive print function for Frequencies, local Supression, Recoding, categorical risk and numerical risk.

Usage

## S4 method for signature 'sdcMicroObj'
print(x, type = "kAnon", docat = TRUE, ...)

Arguments

x

An object of class sdcMicroObj-class

type

Selection of the content to be returned or printed

docat

logical, if TRUE (default) the results will be actually printed

...

the type argument for the print method, currently supported are:

• general: basic information on the input obj such as the number of observations and variables.

• kAnon: displays information about 2- and 3-anonymity

• ls: displays various information if local suppression has been applied.

• pram: displays various information if post-randomization has been applied.

• recode: shows information about categorical key variables before and after recoding

• risk: displays information on re-identification risks

• numrisk: displays risk- and utility measures for numerical key variables

Details

Possible values for the type argument of the print function are: "freq": for Frequencies, "ls": for Local Supression output, "pram": for results of post-randomization "recode":for Recodes, "risk": forCategorical risk and "numrisk": for Numerical risk.

Possible values for the type argument of the freq function are: "fk": Sample frequencies and "Fk": weighted frequencies.

Author(s)

Alexander Kowarik, Matthias Templ, Bernhard Meindl

Examples

data(testdata)

sdc <- createSdcObj(testdata,
  keyVars=c('urbrur','roof','walls','relat','sex'),
  pramVars=c('water','electcon'),
  numVars=c('expend','income','savings'), w='sampling_weight')
sdc <- microaggregation(sdc, method="mdav", aggr=3)
print(sdc)
print(sdc, type="general")
print(sdc, type="ls")
print(sdc, type="recode")
print(sdc, type="risk")
print(sdc, type="numrisk")
print(sdc, type="pram")
print(sdc, type="kAnon")
print(sdc, type="comp_numvars")