summary.BigBang: Prints the representation of the BigBang object

In galgo: Genetic Algorithms for Multivariate Statistical Models from Large-Scale Functional Genomics Data

Description

Prints the representation of the BigBang object.

Usage

## S3 method for class 'BigBang'
summary(object, ...)

Value

Returns nothing.

Author(s)

Victor Trevino. Francesco Falciani Group. University of Birmingham, U.K. http://www.bip.bham.ac.uk/bioinf

References

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

See Also

For more information see BigBang. *print().

Examples

## Not run: 
   
   cr <- Chromosome(genes=newCollection(Gene(shape1=1, shape2=100),5))
   ni <- Niche(chromosomes=newRandomCollection(cr, 10))
   wo <- World(niches=newRandomCollection(ni,2))
   ga <- Galgo(populations=newRandomCollection(wo,1), goalFitness = 0.75,
               callBackFunc=plot,
               fitnessFunc=function(chr, parent) 5/sd(as.numeric(chr)))
 
   #evolve(ga) ## not needed here

   bb <- BigBang(galgo=ga, maxSolutions=10, maxBigBangs=10, saveGeneBreaks=1:100)
   blast(bb)
   bb
   print(bb)
   summary(bb)
   
## End(Not run)
 

galgo documentation built on May 2, 2019, 4:20 a.m.