IdMappingAnalysis (version 1.16.0)

corr.plot.JointUniquePairs: 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

"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

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);