sdcMicro (version 5.7.8)

plotMicro: Comparison plots

Description

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

Usage

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

Value

returns NULL; the selected plot is displayed

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

Author

Matthias Templ

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.

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

Run this code
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)

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