getMixture.JointUniquePairs {IdMappingAnalysis} | R Documentation

## Extract mixture model object from JointUniquePairs and Corr objects

### Description

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.

### Usage

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

### Arguments

`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

### Value

the Mixture object.

### Author(s)

Alex Lisovich, Roger Day

### See Also

For more information see `JointUniquePairs`.

### Examples

     # 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();

[Package IdMappingAnalysis version 1.28.0 Index]