Published by the Foundation for Open Access Statistics Editors-in-chief: Bettina Grün, Torsten Hothorn, Rebecca Killick, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
Authors: Frank Konietschke, Marius Placzek, Frank Schaarschmidt, Ludwig A. Hothorn
Title: nparcomp: An R Software Package for Nonparametric Multiple Comparisons and Simultaneous Confidence Intervals
Abstract: One-way layouts, i.e., a single factor with several levels and multiple observations at each level, frequently arise in various fields. Usually not only a global hypothesis is of interest but also multiple comparisons between the different treatment levels. In most practical situations, the distribution of observed data is unknown and there may exist a number of atypical measurements and outliers. Hence, use of parametric and semiparametric procedures that impose restrictive distributional assumptions on observed samples becomes questionable. This, in turn, emphasizes the demand on statistical procedures that enable us to accurately and reliably analyze one-way layouts with minimal conditions on available data. Nonparametric methods offer such a possibility and thus become of particular practical importance. In this article, we introduce a new R package nparcomp which provides an easy and user-friendly access to rank-based methods for the analysis of unbalanced one-way layouts. It provides procedures performing multiple comparisons and computing simultaneous confidence intervals for the estimated effects which can be easily visualized. The special case of two samples, the nonparametric Behrens-Fisher problem, is included. We illustrate the implemented procedures by examples from biology and medicine.

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Paper: nparcomp: An R Software Package for Nonparametric Multiple Comparisons and Simultaneous Confidence Intervals     Download PDF (Downloads: 9564)
nparcomp_2.6.tar.gz: R source package Download (Downloads: 315; 32KB)
v64i09.R: R example code from the paper Download (Downloads: 333; 706B)

DOI: 10.18637/jss.v064.i09

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Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.