geneRankStability.BigBang: Computes the rank history for top-ranked genes

Description

Computes the rank history for top-ranked genes.

Usage

# S3 method for BigBang
geneRankStability(o,
	filter="none",
	subset=TRUE,
	gene.names=TRUE,
	lastSolutionFirst=TRUE,
	...)

Arguments

filter

The BigBang object can save information about solutions that did not reach the goalFitness. filter=="solutions" ensures that only chromosomes that reach the goalFitness are considered. fitlter=="none" take all chromosomes. filter=="nosolutions" consider only no-solutions (for comparative purposes).

subset

Second level of filter. subset can be a vector specifying which filtered chromosomes are used. It can be a logical vector or a numeric vector (indexes in order given by $bestChromosomes in BigBang object variable). If it is a numeric vector length one, a positive value means take those top chromosomes sorted by fitness, a negative value take those at bottom.

gene.names

TRUE for naming the result with the stored $geneNames in oject BigBang. Other character to name-specific.

lastSolutionFirst

Order of the results. TRUE the las solutions is given in the first column.

Value

A matrix which genes are fit in rows and solutions in columns.

References

Goldberg, David E. 1989 Genetic Algorithms in Search, Optimization and Machine Learning. Addison-Wesley Pub. Co. ISBN: 0201157675

Examples

Run this code

# NOT RUN {
   #bb is a BigBang object
   
# }
# NOT RUN {
   geneRankStability(bb)
   
# }
# NOT RUN {
 
# }