Comparison plots

Source: R/plotMicro.R

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

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

Value

returns NULL; the selected plot is displayed

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.

Author

Matthias Templ

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)