Plots for the comparison of the original data and perturbed data.
plotMicro(x, p, which.plot = 1:3)
an output object of
necessary parameter for the box cox transformation (
which plot should be created?
1: density traces
2: parallel boxplots
3: differences in totals
NULL; the selected plot is displayed
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.
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.
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)