IdMappingAnalysis (version 1.16.0)

mixture.plot.JointUniquePairs: Plot the correlation densities of the empirical fit, mixture fit and each of the mixture components for a mixture object derived from JointUniquePairsand Corr objects

Description

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.

Usage

"mixture.plot"(this, corr, idMapNames=NULL, subsetting=FALSE, G=c(1:5), 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.

subsetting

If TRUE, uses Corr subset to compute the mixture model or uses the original Corr otherwise. Default is FALSE.

G

The number of mixture model components. If a numeric vector, the optimal mixture model is computed. Default is c(1:5).

verbose

If TRUE enables diagnostic messages. Default is FALSE.

...

Additional graphical parameters

Value

The Mixture object plotted

See Also

For more information see JointUniquePairs.

Examples

 #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);