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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

2,409

Version

5.5.0

License

GPL-2

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Repository

https://github.com/sdcTools/sdcMicro

Maintainer

Matthias Templ

Last Published

November 21st, 2019

Functions in sdcMicro (5.5.0)

argus_microaggregation

argus_microaggregation

Adding noise to perturb data

Local recoding via Edmond's maximum weighted matching algorithm

Small Artificial Data set

CASCrefmicrodata

Census data set

Tarragona data set

RMD based disclosure risk

overal disclosure risk

Global Recoding

get.sdcMicroObj

get.sdcMicroObj

extractManipData

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

Fast and Simple Microaggregation

Disclosure Risk for Categorical Variables

Local Suppression

localSuppression

Local Suppression to obtain k-anonymity

microaggregation

Microaggregation

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

data from the casc project

Print method for objects from class modrisk

Print method for objects from class micro

plot.sdcMicroObj

Plotfunctions for objects of class sdcMicroObj-class

sdcMicroObj-class

Class "sdcMicroObj"

Comparison plots

Individual Risk computation

Fast generation of synthetic data

kAnon_violations

kAnon_violations

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

Post Randomization

selectHouseholdData

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

Summary method for objects from class micro

plot.localSuppression

plot method for localSuppression objects

LLmodGlobalRisk

Global risk using log-linear models.

Summary method for objects from class pram

Top and Bottom Coding

A real-world data set on household income and expenditures

Print method for objects from class freqCalc.

summary.freqCalc

Summary method for objects from class freqCalc

Suda2: Detecting Special Uniques

Generate an Html-report from an sdcMicroObj

Creates new randomized IDs

Demo data set from mu-Argus

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

Frequencies calculation for risk estimation

Global risk using log-linear models.

sdcMicro-package

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

print.localSuppression

Print method for objects from class localSuppression

print.indivRisk

Print method for objects from class indivRisk

Detection and winsorization of multivariate outliers

set.sdcMicroObj

set.sdcMicroObj

show,sdcMicroObj-method

Generate one strata variable from multiple factors

Comparison of different microaggregation methods

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

Print method for objects from class pram

Print method for objects from class suda2

print.sdcMicroObj

Print and Extractor Functions for objects of class sdcMicroObj-class

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.

Shuffling and EGADP

subsetMicrodata

subsetMicrodata

Recompute Risk and Frequencies for a sdcMicroObj