Statistical Disclosure Control Methods for Anonymization of Data and Risk Estimation

Documentation for package ‘sdcMicro’ version 5.7.8

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-- A --

-- C --

calcRisks	Recompute Risk and Frequencies for a sdcMicroObj
casc1	Small Artificial Data set
CASCrefmicrodata	Census data set
createDat	Dummy Dataset for Record Swapping
createNewID	Creates new randomized IDs
createSdcObj	Class '"sdcMicroObj"'

-- D --

dataGen	Fast generation of synthetic data
distributeDraws_cpp	Distribute number of swaps
distributeRandom_cpp	Distribute
dRisk	overal disclosure risk
dRiskRMD	RMD based disclosure risk
dUtility	Data-Utility measures

-- E --

EIA	EIA data set
extractManipData	Remove certain variables from the data set inside a sdc object.

-- F --

francdat	data from the casc project
free1	Demo data set from mu-Argus
freq	Freq
freqCalc	Frequencies calculation for risk estimation

-- G --

generateStrata	Generate one strata variable from multiple factors
get.sdcMicroObj	get.sdcMicroObj
globalRecode	Global Recoding
groupAndRename	Join levels of a variables in an object of class 'sdcMicroObj-class' or 'factor' or 'data.frame'

-- I --

IL_correl	Additional Information-Loss measures
IL_variables	Additional Information-Loss measures
importProblem	importProblem
indivRisk	Individual Risk computation
infoLoss	Calculate information loss after targeted record swapping

-- K --

kAnon	Local Suppression to obtain k-anonymity
kAnon_violations	'kAnon_violations'
kAnon_violations-method	'kAnon_violations'

-- L --

ldiversity	Disclosure Risk for Categorical Variables
LocalRecProg	Local recoding via Edmond's maximum weighted matching algorithm
localSupp	Local Suppression
localSuppression	Local Suppression to obtain k-anonymity

-- M --

mafast	Fast and Simple Microaggregation
measure_risk	Disclosure Risk for Categorical Variables
mergeHouseholdData	Replaces the raw household-level data with the anonymized household-level data in the full dataset for anonymization of data with a household structure (or other hierarchical structure). Requires a matching household ID in both files.
microaggregation	Microaggregation
microaggrGower	Microaggregation for numerical and categorical key variables based on a distance similar to the Gower Distance
microData	microData
modRisk	Global risk using log-linear models.
modrisk	Print method for objects from class modrisk
mvTopCoding	Detection and winsorization of multivariate outliers

-- N --

-- O --

Reorder data

-- P --

plot.localSuppression	Plots for localSuppression objects
plot.sdcMicroObj	Plotfunctions for objects of class sdcMicroObj
plotMicro	Comparison plots
pram	Post Randomization
print-method	Print and Extractor Functions for objects of class 'sdcMicroObj-class'
print.freqCalc	Print method for objects from class freqCalc.
print.il_correl	Additional Information-Loss measures
print.il_variables	Additional Information-Loss measures
print.indivRisk	Print method for objects from class indivRisk
print.ldiversity	Disclosure Risk for Categorical Variables
print.localSuppression	Print method for objects from class localSuppression
print.measure_risk	Disclosure Risk for Categorical Variables
print.micro	Print method for objects from class micro
print.modrisk	Print method for objects from class modrisk
print.pram	Print method for objects from class pram
print.sdcMicroObj	Print and Extractor Functions for objects of class 'sdcMicroObj-class'
print.suda2	Print method for objects from class suda2

-- R --

randSample_cpp	Random Sampling
rankSwap	Rank Swapping
readMicrodata	readMicrodata
recordSwap	Targeted Record Swapping
recordSwap.default	Targeted Record Swapping
recordSwap.sdcMicroObj	Targeted Record Swapping
recordSwap_cpp	Targeted Record Swapping
removeDirectID	Remove certain variables from the data set inside a sdc object.
report	Generate an Html-report from an sdcMicroObj
riskyCells	riskyCells

-- S --

sampleDonor_cpp	Random sample for donor records
sdcApp	sdcApp
sdcMicroObj-class	Class '"sdcMicroObj"'
selectHouseholdData	Creates a household level file from a dataset with a household structure.
set.sdcMicroObj	set.sdcMicroObj
setLevels_cpp	Define Swap-Levels
setRisk_cpp	Calculate Risk
show-method	Show
shuffle	Shuffling and EGADP
strataVar<-	Class '"sdcMicroObj"'
strataVar<--method	Class '"sdcMicroObj"'
subsetMicrodata	subsetMicrodata
suda2	Suda2: Detecting Special Uniques
summary.freqCalc	Summary method for objects from class freqCalc
summary.micro	Summary method for objects from class micro
summary.pram	Summary method for objects from class pram

-- T --

Tarragona	Tarragona data set
testdata	A real-world data set on household income and expenditures
testdata2	A real-world data set on household income and expenditures
topBotCoding	Top and Bottom Coding

-- U --

Class '"sdcMicroObj"'

-- V --

valTable	Comparison of different microaggregation methods
varToFactor	Change the a keyVariable of an object of class 'sdcMicroObj-class' from Numeric to Factor or from Factor to Numeric
varToNumeric	Change the a keyVariable of an object of class 'sdcMicroObj-class' from Numeric to Factor or from Factor to Numeric

-- W --