Function reference • sdcMicro

All functions
`CASCrefmicrodata`	Census data set
`EIA`	EIA data set
`LocalRecProg()`	Local recoding via Edmond's maximum weighted matching algorithm
`Tarragona`	Tarragona data set
`addGhostVars()`	addGhostVars
`addNoise()`	Adding noise to perturb data
`argus_microaggregation()`	argus_microaggregation
`argus_rankswap()`	argus_rankswap
`calcRisks()`	Recompute Risk and Frequencies for a sdcMicroObj
`casc1`	Small Artificial Data set
`createDat()`	Dummy Dataset for Record Swapping
`createNewID()`	Creates new randomized IDs
`dRisk()`	overal disclosure risk
`dRiskRMD()`	RMD based disclosure risk
`dUtility()`	Data-Utility measures
`dataGen()`	Fast generation of synthetic data
`distributeDraws_cpp()`	Distribute number of swaps
`distributeRandom_cpp()`	Distribute
`extractManipData()`	Remove certain variables from the data set inside a sdc object.
`francdat`	data from the casc project
`free1`	Demo data set from mu-Argus
`freq()`	Freq
`freqCalc()`	Frequencies calculation for risk estimation
`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`
`IL_correl()` `print(<il_correl>)` `IL_variables()` `print(<il_variables>)`	Additional Information-Loss measures
`importProblem()`	importProblem
`indivRisk()`	Individual Risk computation
`infoLoss()`	Calculate information loss after targeted record swapping
`kAnon_violations()`	`kAnon_violations`
`localSupp()`	Local Suppression
`localSuppression()` `kAnon()`	Local Suppression to obtain k-anonymity
`mafast()`	Fast and Simple Microaggregation
`measure_risk()` `ldiversity()` `print(<measure_risk>)` `print(<ldiversity>)`	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.
`microData`	microData
`microaggrGower()`	Microaggregation for numerical and categorical key variables based on a distance similar to the Gower Distance
`microaggregation()`	Microaggregation
`modRisk()`	Global risk using log-linear models.
`mvTopCoding()`	Detection and winsorization of multivariate outliers
`nextSdcObj()`	nextSdcObj
`orderData_cpp()`	Reorder data
`plot(<localSuppression>)`	Plots for localSuppression objects
`plot(<sdcMicroObj>)`	Plotfunctions for objects of class sdcMicroObj
`plotMicro()`	Comparison plots
`pram()`	Post Randomization
`print(<freqCalc>)`	Print method for objects from class freqCalc.
`print(<indivRisk>)`	Print method for objects from class indivRisk
`print(<localSuppression>)`	Print method for objects from class localSuppression
`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
`randSample_cpp()`	Random Sampling
`rankSwap()`	Rank Swapping
`readMicrodata()`	readMicrodata
`recordSwap()`	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
`sampleDonor_cpp()`	Random sample for donor records
`sdcApp()`	sdcApp
`createSdcObj()` `undolast()` `strataVar<-`()	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(<sdcMicroObj>)`	Show
`shuffle()`	Shuffling and EGADP
`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
`testdata` `testdata2`	A real-world data set on household income and expenditures
`topBotCoding()`	Top and Bottom Coding
`valTable()`	Comparison of different microaggregation methods
`varToFactor()` `varToNumeric()`	Change the a keyVariable of an object of class `sdcMicroObj-class` from Numeric to Factor or from Factor to Numeric
`writeSafeFile()`	writeSafeFile

Reference

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