mixture.plot.JointUniquePairs {IdMappingAnalysis} | R Documentation |
Plot the correlation densities of the empirical fit, mixture fit and each of the mixture components for a mixture object derived from UniquePairsMatch and Corr objects with optional subsetting by a group of ID Maps. This is achived by first creating a mixture model from the JointUniquePairs and Corr objects with optional subsetting by a group of ID Maps encapsulated within the and then calling the MixtureObject.plot() on a resulting Mixture object.
## S3 method for class 'JointUniquePairs' mixture.plot(this, corr, idMapNames=NULL, subsetting=FALSE, G=c(1:5), verbose=FALSE, ...)
corr |
Corr object. |
idMapNames |
If not |
subsetting |
If |
G |
The number of mixture model components. If a |
verbose |
|
... |
Additional graphical parameters |
The Mixture object plotted
Alex Lisovich, Roger Day
For more information see JointUniquePairs
.
#plot the results of mixture fit for a given DB subset and a Corr object (corr.spearman) mixtureSet<-examples$jointUniquePairs$mixture.plot(examples$corr, idMapNames=c("NetAffx_Q","DAVID_Q","EnVision_Q"), subsetting=TRUE,G=c(1:5),verbose=TRUE);