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sdcMicro

sdcMicro is an R-package to anonymize microdata. Most functionalities of the package are also available via an interactive shiny-based graphical user interface.

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Install

install.packages('sdcMicro')

Monthly Downloads

1,206

Version

5.6.1

License

GPL-2

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Repository

https://github.com/sdcTools/sdcMicro

Maintainer

Matthias Templ

Last Published

July 26th, 2021

Functions in sdcMicro (5.6.1)

Fast generation of synthetic data

extractManipData

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

Adding noise to perturb data

RMD based disclosure risk

kAnon_violations

kAnon_violations

Additional Information-Loss measures

Data-Utility measures

argus_microaggregation

argus_microaggregation

Individual Risk computation

plot.sdcMicroObj

Plotfunctions for objects of class sdcMicroObj-class

Comparison plots

Local recoding via Edmond's maximum weighted matching algorithm

CASCrefmicrodata

Census data set

Recompute Risk and Frequencies for a sdcMicroObj

Small Artificial Data set

Tarragona data set

Print method for objects from class suda2

localSuppression

Local Suppression to obtain k-anonymity

Local Suppression

subsetMicrodata

subsetMicrodata

Shuffling and EGADP

Demo data set from mu-Argus

data from the casc project

Creates new randomized IDs

Generate one strata variable from multiple factors

get.sdcMicroObj

get.sdcMicroObj

Global risk using log-linear models.

Microaggregation for numerical and categorical key variables based on a distance similar to the Gower Distance

Detection and winsorization of multivariate outliers

Global Recoding

Print method for objects from class micro

Print method for objects from class modrisk

overal disclosure risk

plot.localSuppression

plot method for localSuppression objects

microaggregation

Microaggregation

Summary method for objects from class micro

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

Frequencies calculation for risk estimation

Summary method for objects from class pram

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.

sdcMicro-package

Statistical Disclosure Control (SDC) for the generation of protected microdata for researchers and for public use.

A real-world data set on household income and expenditures

Top and Bottom Coding

Join levels of a variables in an object of class sdcMicroObj-class or factor or data.frame

Post Randomization

Print method for objects from class pram

Print method for objects from class freqCalc.

Fast and Simple Microaggregation

print.sdcMicroObj

Print and Extractor Functions for objects of class sdcMicroObj-class

Suda2: Detecting Special Uniques

summary.freqCalc

Summary method for objects from class freqCalc

Disclosure Risk for Categorical Variables

print.localSuppression

Print method for objects from class localSuppression

print.indivRisk

Print method for objects from class indivRisk

Generate an Html-report from an sdcMicroObj

selectHouseholdData

Creates a household level file from a dataset with a household structure.

Comparison of different microaggregation methods

sdcMicroObj-class

Class "sdcMicroObj"

Change the a keyVariable of an object of class sdcMicroObj-class from Numeric to Factor or from Factor to Numeric

show,sdcMicroObj-method

set.sdcMicroObj

set.sdcMicroObj