SRCS: Statistical Ranking Color Scheme for Multiple Pairwise Comparisons

Implementation of the SRCS method for a color-based visualization of the results of multiple pairwise tests on a large number of problem configurations, proposed in: I.G. del Amo, D.A. Pelta. SRCS: a technique for comparing multiple algorithms under several factors in dynamic optimization problems. In: E. Alba, A. Nakib, P. Siarry (Eds.), Metaheuristics for Dynamic Optimization. Series: Studies in Computational Intelligence 433, Springer, Berlin/Heidelberg, 2012.

Install the latest version of this package by entering the following in R:
install.packages("SRCS")
AuthorPablo J. Villacorta <pjvi@decsai.ugr.es>
Date of publication2015-07-02 06:47:17
MaintainerPablo J. Villacorta <pjvi@decsai.ugr.es>
LicenseLGPL (>= 3)
Version1.1
http://decsai.ugr.es/~pjvi/r-packages.html

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Files

inst
inst/doc
inst/doc/SRCS.pdf.asis
inst/doc/SRCS.pdf
NAMESPACE
data
data/ML1.rdata
data/MPB.rdata
data/MPBall.rdata
data/datalist
R
R/rank.R R/graphics-config.R R/core.R R/graphics.R R/check-params.R R/SRCS-package.R
vignettes
vignettes/SRCS.pdf.asis
MD5
build
build/vignette.rds
DESCRIPTION
man
man/MPB.Rd man/ML1.Rd man/SRCS.Rd man/MPBall.Rd man/SRCSranks.Rd man/SRCScomparison.Rd man/plot.SRCS.Rd

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