IdMappingAnalysis (version 1.16.0)

corr.boxplot.JointUniquePairs: Boxplot of correlations by match group

Description

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

Usage

"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, ...)

Arguments

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 TRUE, interprets Corr subset as a full group or uses the original Corr as a full group otherwise. Default is FALSE.

show.None

If TRUE, includes a plot of subset of values not included into any other match group with 'None' label. Default is FALSE.

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

numeric in a range (0..1) determening how close to the x-axis the group labels are, 1 being the closest and 0 is farthest. The default is 0.

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 TRUE (default) then a boxplot is produced. If not, the summaries which the boxplots are based on are returned.

verbose

If TRUE enables diagnostic messages. Default is FALSE.

...

Additional graphical parameters

Value

Same as for boxplot in graphics package

See Also

For more information see JointUniquePairs.

Examples

 #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="");