getCorr.JointUniquePairs {IdMappingAnalysis} | R Documentation

## Extract a set of correlation objects from given JointUniquePairs object and corresponding Corr object

### Description

Generate a list of correlation objects based on a given correlation object treated as a 'joint' object(i.e. produced through the pipeline JointIdMap->UniquePairs->Corr and a set of matches for a set of DBs stored in a JointUniquePairs object.

### Usage

    ## S3 method for class 'JointUniquePairs'
    getCorr(this, corr, groups=NULL, full.group=FALSE, verbose=FALSE, ...)

### Arguments

`corr` | Corr object from which the Corr object(s) retrieved for each particular DB based on which the patricular Corr object is retrieved.
`groups` | Optional `character` vector of DB names encapsulated within the JointUniquePairs object defining the set of match groups to be used for retrieving the corresponding Corr objects. If `NULL` (default), all match groups within the given UniquePairsObject are used.
`full.group` | Determines if the resulting Corr object list should represent a full group. Default is `FALSE`.
`verbose` | if `TRUE` enables diagnostic messages. Default is `FALSE`.
`...` | Not used

### Value

Corr object or a `list` ofCorr objects with names corresponding to the names of particular match groups contained within the given JointUniquePairs object

### Author(s)

Alex Lisovich, Roger Day

### See Also

For more information see `JointUniquePairs`.

### Examples

     # Create and plot the set of corrs for a given DB subset treating subset as a full group
     # and plot the correlation densities including union
     corrSet<- examples$jointUniquePairs$getCorr(examples$corr,
    	groups=c("union", "NetAffx_Q", "DAVID_Q", "EnVision_Q"),
         full.group=TRUE, verbose=TRUE);
     Corr$plot(corrSet, title="");

[Package IdMappingAnalysis version 1.28.0 Index]