corr.plot.JointUniquePairs {IdMappingAnalysis} | R Documentation |
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.
## S3 method for class 'JointUniquePairs' corr.plot(this, corr, idMapNames=NULL, plot.Union=TRUE, subsetting=FALSE, lineColors=NULL, lineStyles=NULL, lineWidths=2, verbose=FALSE, ...)
corr |
Corr object. |
idMapNames |
If not |
plot.Union |
If |
subsetting |
If |
lineColors |
The |
lineStyles |
The |
lineWidths |
The |
verbose |
|
... |
Additional graphical parameters |
The list of Corr objects which data densities are plotted
Alex Lisovich, Roger Day
For more information see JointUniquePairs
.
#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);