DepthProc An R Package for Robust Exploration of Multidimensional Economic Phenomena
Abstract
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.
Keywords
Cite
@article{arxiv.1408.4542,
title = {DepthProc An R Package for Robust Exploration of Multidimensional Economic Phenomena},
author = {Daniel Kosiorowski and Zygmunt Zawadzki},
journal= {arXiv preprint arXiv:1408.4542},
year = {2019}
}
Comments
the package can be obtained from ## FOR DEVELOPER VERSION: require(devtools) # for windows we need RTools install_github("DepthProc", "zzawadz", subdir = "pkg") ##and from CRAN ## We recommend the developer version in a context of your comments, suggestions, recommendations, our future collaboration; The paper to appear in Journal of Statistical Software in 2019