sdcMicroObj-classR/printFunctions.R
print.sdcMicroObj.RdDescriptive print function for Frequencies, local Supression, Recoding, categorical risk and numerical risk.
# S4 method for sdcMicroObj
print(x, type = "kAnon", docat = TRUE, ...)An object of class sdcMicroObj-class
Selection of the content to be returned or printed
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
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.
data(testdata)
# \donttest{
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)
#> Infos on 2/3-Anonymity:
#>
#> Number of observations violating
#> - 2-anonymity: 26 (0.568%)
#> - 3-anonymity: 52 (1.135%)
#> - 5-anonymity: 141 (3.079%)
#>
#> ----------------------------------------------------------------------
#>
print(sdc, type="general")
#> The input dataset consists of 4580 rows and 15 variables.
#> --> Categorical key variables: urbrur, roof, walls, relat, sex
#> --> Numerical key variables: expend, income, savings
#> --> Weight variable: sampling_weight
#> ----------------------------------------------------------------------
#>
print(sdc, type="ls")
#> Local suppression has not been applied!
print(sdc, type="recode")
#> Information on categorical key variables:
#>
#> Reported is the number, mean size and size of the smallest category >0 for recoded variables.
#> In parenthesis, the same statistics are shown for the unmodified data.
#> Note: NA (missings) are counted as seperate categories!
#>
#> Key Variable Number of categories Mean size
#> <char> <char> <char> <char> <char>
#> urbrur 2 (2) 2290.000 (2290.000)
#> roof 5 (5) 916.000 (916.000)
#> walls 3 (3) 1526.667 (1526.667)
#> relat 9 (9) 508.889 (508.889)
#> sex 2 (2) 2290.000 (2290.000)
#> Size of smallest (>0)
#> <char> <char>
#> 646 (646)
#> 16 (16)
#> 50 (50)
#> 1 (1)
#> 2284 (2284)
#> ----------------------------------------------------------------------
#>
print(sdc, type="risk")
#> Risk measures:
#>
#> Number of observations with higher risk than the main part of the data: 0
#> Expected number of re-identifications: 2.41 (0.05 %)
print(sdc, type="numrisk")
#> Numerical key variables: expend, income, savings
#>
#> Disclosure risk is currently between [0.00%; 12.95%]
#>
#> Current Information Loss:
#> - IL1: 384097.50
#> - Difference of Eigenvalues: 0.020%
#> ----------------------------------------------------------------------
#>
print(sdc, type="pram")
#> PRAM has not been applied!
print(sdc, type="kAnon")
#> Infos on 2/3-Anonymity:
#>
#> Number of observations violating
#> - 2-anonymity: 26 (0.568%)
#> - 3-anonymity: 52 (1.135%)
#> - 5-anonymity: 141 (3.079%)
#>
#> ----------------------------------------------------------------------
#>
print(sdc, type="comp_numvars")
#> Compare original and modified numeric key variables
#>
#> Variable 'expend' has been modified. The correlation is 0.998
#>
#> Type Min. 1st Qu. Median Mean
#> <char> <char> <char> <char> <char>
#> 1: orig 3377 25610224.75 50462299.5 50499784.5991266
#> 2: modified 1151704.66666667 25359582 50285163.3333333 50499784.5991266
#> 3rd Qu. Max.
#> <char> <char>
#> 1: 75513584.75 99962044
#> 2: 75370230.3333333 99174302.6666667
#>
#> Variable 'income' has been modified. The correlation is 0.998
#>
#> Type Min. 1st Qu. Median Mean
#> <char> <char> <char> <char> <char>
#> 1: orig 2897.484 25100000 50750000 50115690.0034852
#> 2: modified 621527.033333333 25066666.6666667 50766666.6666667 50115690.0034852
#> 3rd Qu. Max.
#> <char> <char>
#> 1: 7.5e+07 1e+08
#> 2: 75100000 99200000
#>
#> Variable 'savings' has been modified. The correlation is 0.998
#>
#> Type Min. 1st Qu. Median Mean
#> <char> <char> <char> <char> <char>
#> 1: orig 2974.644 2434822.75 4982921 4964039.24334542
#> 2: modified 85811.8536666667 2373826.33333333 4990754 4964039.24334542
#> 3rd Qu. Max.
#> <char> <char>
#> 1: 7487258 9997808
#> 2: 7522210.33333333 9928145.66666667
#>
#> ----------------------------------------------------------------------
#>
# }