geneCoverage.BigBang: Computes the fraction of genes present in the top-rank from the total genes present in chromosomes

Description

Computes the fraction of genes present in the top-rank from the total genes present in chromosomes.

Usage

# S3 method for BigBang
geneCoverage(o, filter="none", subset=TRUE, chromosomes=NULL, ...)

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.

chromosomes

The chromosomes to process. The default is using filter and subset to extract the chromosomes from the BigBang object.

Value

A vector with the fraction of genes present in each rank from the total genes present in chromosomes.

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
   gc <- geneCoverage(bb)
   gc
   
# }
# NOT RUN {
 
# }