corr.boxplot.JointUniquePairs {IdMappingAnalysis} | R Documentation |
Creates a boxplot of correlations data from the Corr object by a set of match groups from the UniquePairsMatch object, utilizing the JointUniquePairs$boxplot function
## S3 method for class 'JointUniquePairs' corr.boxplot(this, corr, idMapNames=NULL, show.None=FALSE, subsetting=FALSE, group.gap=0.2, cex.main=1.2, cex.lab=1, srt=0, adj=0, par.zoom=1, main=paste("Correlations (", colnames(corr)[3], ") by match group", sep = ""), plot=TRUE, verbose=FALSE, ...)
corr |
Corr object which correlation values are used for boxplot. |
idMapNames |
Defines a subset of match group names to be plotted. If $NULL (default), all group names within the pairsMatch are used. |
subsetting |
If |
show.None |
If |
group.gap |
The gap between match groups. Default is 0.2. |
cex.main |
Font size for plot main title. Default is 1.2. |
cex.lab |
Font size for X and Y axis titles. Default is 1. |
srt |
Match group label orientation (see par('srt')). Default is 0. |
adj |
|
par.zoom |
Graphics parameters zoom factor. Scales the graphical parameters like cex, lwd, mai etc. Default is 1. |
main |
The main title. Default is 'Correlations (type) by match group', where type is derived from corr object ('spearman' or 'pearson'). |
plot |
if |
verbose |
|
... |
Additional graphical parameters |
Same as for boxplot in graphics package
Alex Lisovich, Roger Day
For more information see JointUniquePairs
.
#plot correlation probability distributions (boxplots) by match group mapNames=list(NetAffx_Q="Affy_Q",DAVID_F="D_F",EnVision_Q="EnQ"); data = examples$jointUniquePairs$corr.boxplot(examples$corr, idMapNames=mapNames,subsetting=TRUE, multiline=TRUE, srt=30, cex.lab=0.8, col.points="green" , main="");