SRCScomparison

The ranks data frame obtained by a previous call to <code><a href="/link/SRCSranks?package=SRCS&version=1.0" rd-options="" data-mini-rdoc="SRCS::SRCSranks">SRCSranks</a></code>.

rankdata

Name of the target column in <code>rframe</code> that separates the levels to be compared, probably "Algorithm" or similar.

target

Significance threshold to consider two set of measurements coming from two algorithms as statistically significant

alpha

Boolean. TRUE indicates that the pairwise comparison table should contain p-values.
FALSE means only ">","

pvalues

The rest of the columns in <code>rframe</code> and the values to fully specify a single problem configuration for which algorithms will be compared.
Must be indicated as named arguments, like in "severity" = 4.

Compares the performance of two algorithms for a single problem configuration specified by the user.

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.

SRCScomparison: Compares the performance of two algorithms for a single problem configuration specified by the user.

Description

Usage

Arguments

Value

See Also