IdMappingAnalysis (version 1.16.0)

plot.Corr: Plot the density distributions for correlation object(s)

Description

Plot the density distributions for a given Corr object or list of Corr objects. The method can be used as object specific as well as static. In the latter case the method can accept a list of Corr objects using Corr$plot(corrList) call signature.

Usage

"plot"(x, dataList=NULL, title="nonparametric density fit", lineColors=NULL, lineStyles=NULL, lineWidths=2, verbose=FALSE, cex.main=1.2, cex.lab=1, cex.axis=1, cex.legend=1, par.zoom=1, ...)

Arguments

dataList

the list of Corr objects (used if static version of method invoked). Default is $NULL.

title

main plot title. Default is 'nonparametric density fit'.

lineColors

the vector of line colors (recycled if necessary) for plotting the distributions of different Corr objects. If NULL (default), the predefined set of colors is used.

lineStyles

the vector of line styles (recycled if necessary) for plotting the distributions of different Corr objects. If NULL (default), the predefined set of line styles is used.

lineWidths

the vector of line widths (recycled if necessary) for plotting the distributions of different Corr objects. Default is 2.

verbose

if TRUE enables diagnostic messages.Default is FALSE.

cex.main

Main title font size. Default is 1.2.

cex.lab

X and Y titles font size. Default is 1.

cex.axis

X and Y axis labels font size. Default is 1.

cex.legend

font size for the plot legend. Default is 1.

par.zoom

graphics parameters zoom factor. Scales the graphical parameters like cex, lwd, mai etc. Used to plot into the file based device with dimensions 'zoom' times bigger than for on-screen device.

...

additional graphical parameters

See Also

For more information see Corr.

Examples

 examples$corr$plot();

 #create a set of corr. objects for a given DB subset treating subset
 #as a full group and then plot the correlation densities including union
 corrSet<-examples$jointUniquePairs$getCorr(examples$corr,
		groups=c("union","EnVision_Q","NetAffx_Q","DAVID_Q","EnVision_Q"),
		full.group=TRUE,verbose=TRUE);
 Corr$plot(corrSet);