mixture.boxplot.JointUniquePairs {IdMappingAnalysis} | R Documentation |
Creates a boxplot of mixture component data from the Mixture object by a set of match groups from the JointUniquePairs object, utilizing the JointUniquePairs$boxplot function
## S3 method for class 'JointUniquePairs' mixture.boxplot(this, corr, idMapNames=NULL, show.None=FALSE, subsetting=FALSE, group.gap=0.2, G=c(1:5), plot.G=NULL, cex.main=1.2, cex.lab=1, srt=0, adj=0, par.zoom=1, main="Component posterior probability by match group", plot=TRUE, verbose=FALSE, ...)
corr |
Corr object from which the Mixture object is constructed on the fly to use one of it'c components for the boxplot corresponding to the best fit is plotted. |
idMapNames |
Defines a subset of match group names to be plotted.
If |
subsetting |
If |
show.None |
If not |
group.gap |
The gap between match groups. Default is 0.2. |
cex.main |
Font size for plot main title. Default is 1.2. |
cex.lab |
Font size for X and Y axis titles. Default is 1. |
srt |
Match group label orientation (see par('srt')). The default is 0. |
adj |
|
G |
Number of components in mixture model. If G is a |
plot.G |
The mixture component to be used for plotting.
If |
par.zoom |
Graphics parameters zoom factor. Scales the graphical parameters like cex, lwd, mai etc. Default is 1. |
main |
The main title. Default is 'Component posterior probability by match group' |
plot |
if |
verbose |
|
... |
Additional graphical parameters |
Same as for boxplot in graphics package
Alex Lisovich, Roger Day
For more information see JointUniquePairs
.
#plot posterior second component probability distributions by match group mapNames=list(NetAffx_Q="Affy_Q",DAVID_F="D_F",EnVision_Q="EnQ"); examples$jointUniquePairs$mixture.boxplot(examples$corr, idMapNames=mapNames, multiline=TRUE,subsetting=TRUE, plot.G=2, srt=35, col.points="red",verbose=TRUE);