loadParallelFiles.BigBang: Load all files saved during the parallelization

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

Description

Load all files saved during the parallelization.

Usage

## S3 method for class 'BigBang'
loadParallelFiles(bb, prefix="parallel-", ...)

Arguments

prefix

Prefix used in the parallel files for identification. Defaults to “parallel-”.

Value

Returns the file names loaded to the bigbang object.

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.