  Data depth concept offers a variety of powerful and user friendly tools for
robust exploration and inference for multivariate socio-economic phenomena. The
offered techniques may be successfully used in cases of lack of our knowledge
on parametric models generating data due to their nonparametric nature. This
paper presents the R package DepthProc, which is available under GPL-2 licence
on CRAN and R-forge servers for Windows, Linux and OS X platform. The package
consist of among others successful implementations of several data depth
techniques involving multivariate quantile-quantile plots, multivariate scatter
estimators, local Wilcoxon tests for multivariate as well as for functional
data, robust regressions. In order to show the package capabilities, real
datasets concerning United Nations Fourth Millennium Goal and the Internet
users activity are used.
