getMixture.JointUniquePairs: Extract mixture model object from JointUniquePairs and Corr...
In IdMappingAnalysis: ID Mapping Analysis

Description Usage Arguments Value Author(s) See Also Examples

Extract mixture model object from UniquePairsMatch and Corr objects. Computes mixture model on Corr object optionally subsetting the Corr object on a list of ID Maps from the JointUniquePairs object.

1 2	## S3 method for class 'JointUniquePairs' getMixture(this, corr, groups=NULL, full.group=FALSE, G=c(1:5), verbose=FALSE, ...)

`corr`	Corr object.
`groups`	Optional `list` of DB names from the JointUniquePairs object defining the set of match groups to be used for retrieving the corresponding Mixture object.
`full.group`	If@ TRUE, uses Corr subset to compute the mixture model or uses the original Corr otherwise. Default is `FALSE`.
`G`	the number of mixture model components. If a numerical vector, the optimal mixture model is computed. Default is c(1:5).
`verbose`	if `TRUE` enables diagnostic messages. Default is `FALSE`.
`...`	Not used

the Mixture object.

Alex Lisovich, Roger Day

For more information see JointUniquePairs.

 # create and plot mixture  (automatically determining the optimal number of components)
 #for a given DB subset treating the subset as a full group
 mixture.subset <- examples$jointUniquePairs$getMixture(examples$corr,
				groups=c("NetAffx_Q", "DAVID_Q", "EnVision_Q"),
 				full.group=TRUE, G=c(1:5), verbose=TRUE);
 mixture.subset$plot();