base + 0.3 * range
.
base
is the cutoff value for runtimes scenarios with cutoff or
the worst performance for all others.Stochastic replications are aggregated by the mean value.
plotAlgoCorMatrix(asscenario, measure, order.method = "hclust", hclust.method = "ward.D2", cor.method = "spearman")
ASScenario
]
Algorithm selection scenario.character(1)
]
Measure to plot.
Default is first measure in scenario.character(1)
]
Method for ordering the algorithms within the plot.
Possible values are hclust (for hierarchical clustering order),
FPC (first principal component order), AOE (angular order
of eigenvectors), original (original order) and alphabet
(alphabetical order).
See corrMatOrder
.
Default is hclust.character(1)
]
Method for hierarchical clustering. Only useful, when order.method
is set to hclust, otherwise ignored.
Possible values are: ward.D2, single,
complete, average, mcquitty, median and
centroid.
See corrMatOrder
.
Default is ward.D2.character(1)
]
Method to be used for calculating the correlation between the algorithms.
Possible values are pearson, kendall and spearman.
See cor
.
Default is spearman.corrplot
.