addSolutions.BigBang: Adds user-built or external chromosomes as solutions

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

Description

Adds chromosomes as solutions. This method is used to build BigBang objects from an external source of chromosomes/solutions. These solutions were obtained from any other process. This can be used for simulations, verifications and comparisons.

Usage

## S3 method for class 'BigBang'
addSolutions(no, chrs, gen=NULL, sol=NULL, fit=NULL, ...)

Arguments

no	BigBang Object
chrs	Chromosomes to add. It is assumed to be a list. If data frame or matrix are provided, rows are considered as chromosomes and columns as genes/variables.
gen	Generation in which each solution was reached (numeric vector). Default to NULL, which is interpreted as 1.
sol	Vector of flags indicating whether each chromosome is a solution (1=TRUE, 0=FALSE). Default to NULL, which is interpreted as 1.
fit	Vector of fitness of each chromosome (between 0 and 1). Default to NULL, which is used to compute the fitness using internal configuration of the BigBang/Galgo objects.

Value

Returns nothing. However, the original BigBang object has been modified adding the solutions.

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.

Examples

   #bb is a BigBang object
   ## Not run: 
   bb
   plot(bb)
   addSolutions(bb, chrList)
   plot(bb) # accumulated solutions
   
## End(Not run)
 

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