assignParallelFile.BigBang: Assigns a different saveFile value for parallelization

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

Description

Assigns a different saveFile value for parallelization. The assignation is done looking for a existing filename with a consecutive number starting from 1. If a filename with a particular consecutive number is not found, it is assigned.

Usage

## S3 method for class 'BigBang'
assignParallelFile(bb,
	save=TRUE,
	prefix="parallel-",
	use.random=TRUE,
	compatibilize=TRUE,
	...)

Arguments

save	Specify to save the file to “lock” the name and avoid other parallel process to use it. Defaults to true.
prefix	Prefix used in the parallel files for identification. Defaults to “parallel-”.
use.random	Specify if an integer random value between 0 and 9999 is added to avoid duplicated filenames in parallel process started at the same time. Defaults to true.

Value

Returns the file name assigned to the bigbang object for parallelization.

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

## Not run: 

	#Initial process:
	#load data and configure initial objects, run once
	library(galgo)
	bb <- configBB.varSel(..., saveFile="bb.parallel.Rdata", ...)
	saveObject(bb)
	#

	#Parallel process:
	#run as many process as you want
	library(galgo)
	loadObject("bb.parallel.Rdata")
	assignParallelFile(bb)
	blast(bb)
	#


	#Analysis Process:
	library(galgo)
	loadObject("bb.parallel.Rdata")
	loadParallelFiles(bb)
	#
	
## End(Not run)
 

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