Statistical Ranking Color Scheme for Multiple Pairwise Comparisons

---

Documentation for package ‘SRCS’ version 1.1

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

SRCS-package	R package implementing the Statistical Ranking Color Scheme for visualizing the results of multiple parameterized pairwise comparisons.
animatedplot	Heatmap plot of the ranking achieved by a target variable levels after all statistical pairwise comparisons in multi-parameter problem instances.
ML1	Performance of 6 different supervised classification algorithms on eight noisy datasets (see references)
MPB	Performance of 8 different dynamic optimization algorithms on the Moving Peaks Benchmark (see references)
MPBall	Performance of 3 different dynamic optimization algorithms on the Moving Peaks Benchmark captured at five time moments of the execution (see references)
plot.SRCS	Heatmap plot of the ranking achieved by a target variable levels after all statistical pairwise comparisons in multi-parameter problem instances.
singleplot	Heatmap plot of the ranking achieved by a target variable levels after all statistical pairwise comparisons in multi-parameter problem instances.
SRCS	R package implementing the Statistical Ranking Color Scheme for visualizing the results of multiple parameterized pairwise comparisons.
SRCScomparison	Compares the performance of two algorithms for a single problem configuration specified by the user.
SRCSranks	Computes the ranks of all the algorithms from their (repeated) results measurements after grouping them by several factors combined simultaneosly.