corr.plot.JointUniquePairs {IdMappingAnalysis} | R Documentation

## Plot the density distributions for a set of correlation objects derived from JointUniquePairs and Corr objects

### Description

Plot the density distributions for a set of correlation objects derived from JointUniquePairs and Corr objects with optional subsetting by a group of ID Maps. This is achived by first creating a correlation object from the JointUniquePairs and Corr objects with optional subsetting by a group of ID Maps and then calling the Corr.plot() on a resulting set of correlation objects.

### Usage

    ## S3 method for class 'JointUniquePairs'
    corr.plot(this, corr, idMapNames=NULL, plot.Union=TRUE, subsetting=FALSE, lineColors=NULL, lineStyles=NULL, lineWidths=2, verbose=FALSE, ...)

### Arguments

`corr` | Corr object.
`idMapNames` | If not `NULL`, defines the subset of ID Maps from JointUniquePairs on which the full event group is to be formed. Default is `NULL`.
`plot.Union` | If `TRUE` (default), plots also the density of the correlation object corrsesponding to the union of a set of correlation objects.
`subsetting` | If `TRUE`, subsets the Corr on a group of ID Maps or uses the original Corr otherwise. Default is `FALSE`.
`lineColors` | The `vector` of line colors (recycled if necessary) for plotting the distributions of different Corr objects. If `NULL` (default), the predefined set of colors is used.
`lineStyles` | The `vector` of line styles (recycled if necessary) for plotting the distributions of different Corr objects. If `NULL` (default), the predefined set of line styles is used.
`lineWidths` | The `vector` of line widths (recycled if necessary) for plotting the distributions of different Corr objects. Default is 2.
`verbose` | If `TRUE` enables diagnostic messages. Default is `FALSE`.
`...` | Additional graphical parameters

### Value

The list of Corr objects which data densities are plotted

### Author(s)

Alex Lisovich, Roger Day

### See Also

For more information see `JointUniquePairs`.

### Examples

     #plot the correlation densities of a Corr object (corr.spearman) on a given DB subset
     corrSet<-examples$jointUniquePairs$corr.plot(examples$corr,
                 idMapNames=c("NetAffx_Q","DAVID_Q","EnVision_Q"),
    	       plot.Union=TRUE,subsetting=TRUE,verbose=TRUE);
     names(corrSet);

[Package IdMappingAnalysis version 1.24.0 Index]