plotMicro: Comparison plots

In sdcTools/sdcMicro: Statistical Disclosure Control Methods for Anonymization of Data and Risk Estimation

Comparison plots

Description

Plots for the comparison of the original data and perturbed data.

Usage

plotMicro(x, p, which.plot = 1:3)

Arguments

x	an output object of microaggregation()
p	necessary parameter for the box cox transformation (lambda)
which.plot	which plot should be created? 1: density traces 2: parallel boxplots 3: differences in totals

Details

Univariate and multivariate comparison plots are implemented to detect differences between the perturbed and the original data, but also to compare perturbed data which are produced by different methods.

Value

returns NULL; the selected plot is displayed

Author(s)

Matthias Templ

References

Templ, M. and Meindl, B., Software Development for SDC in R, Lecture Notes in Computer Science, Privacy in Statistical Databases, vol. 4302, pp. 347-359, 2006.

See Also

microaggregation()

Examples

data(free1)
df <- as.data.frame(free1)[, 31:34]
m1 <- microaggregation(df, method = "onedims", aggr = 3)
plotMicro(m1, p = 1, which.plot = 1)
plotMicro(m1, p = 1, which.plot = 2)
plotMicro(m1, p = 1, which.plot = 3)

sdcTools/sdcMicro documentation built on March 15, 2024, 12:32 p.m.