The R Journal: article published in 2015, volume 7:2

SRCS: Statistical Ranking Color Scheme for Visualizing Parameterized Multiple Pairwise Comparisons with R
Pablo J. Villacorta and José A. Sáez , The R Journal (2015) 7:2, pages 89-104.

Abstract The problem of comparing a new solution method against existing ones to find statistically significant differences arises very often in sciences and engineering. When the problem instance being solved is defined by several parameters, assessing a number of methods with respect to many problem configurations simultaneously becomes a hard task. Some visualization technique is required for presenting a large number of statistical significance results in an easily interpretable way. Here we review an existing color-based approach called Statistical Ranking Color Scheme (SRCS) for displaying the results of multiple pairwise statistical comparisons between several methods assessed separately on a number of problem configurations. We introduce an R package implementing SRCS, which performs all the pairwise statistical tests from user data and generates customizable plots. We demonstrate its applicability on two examples from the areas of dynamic optimization and machine learning, in which several algorithms are compared on many problem instances, each defined by a combination of parameters.

Received: 2015-01-02; online 2015-07-29
CRAN packages: factorplot, SRCS, e1071, RWeka
CRAN Task Views implied by cited CRAN packages: MachineLearning, Cluster, Distributions, Environmetrics, Multivariate, NaturalLanguageProcessing, Psychometrics
Bioconductor packages: paircompviz

This article is licensed under a Creative Commons Attribution 3.0 Unported license .

@article{RJ-2015-023,
  author = {Pablo J. Villacorta and José A. Sáez},
  title = {{SRCS: Statistical Ranking Color Scheme for Visualizing
          Parameterized Multiple Pairwise Comparisons with R}},
  year = {2015},
  journal = {{The R Journal}},
  doi = {10.32614/RJ-2015-023},
  url = {https://doi.org/10.32614/RJ-2015-023},
  pages = {89--104},
  volume = {7},
  number = {2}
}