Usage
corPlot(r,numbers=FALSE,colors=TRUE,n=51,main=NULL,zlim=c(-1,1),
show.legend=TRUE, labels=NULL,n.legend=10,keep.par=TRUE,select=NULL,
pval=NULL,cuts=c(.001,.01),cex,MAR,upper=TRUE,diag=TRUE,...)
cor.plot(r,numbers=FALSE,colors=TRUE,n=51,main=NULL,zlim=c(-1,1),
show.legend=TRUE, labels=NULL,n.legend=10,keep.par=TRUE,select=NULL,
pval=NULL,cuts=c(.001,.01),cex,MAR,upper=TRUE,diag=TRUE,...)
cor.plot.upperLowerCi(R,numbers=TRUE,cuts=c(.001,.01,.05),select=NULL,
main="Upper and lower confidence intervals of correlations",...)
Arguments
R
The object returned from cor.ci
numbers
Display the numeric value of the correlations. Defaults to FALSE.
colors
Defaults to TRUE and colors use colors from the colorRampPalette from red through white to blue, but colors=FALSE will use a grey scale
n
The number of levels of shading to use. Defaults to 51
main
A title. Defaults to "correlation plot"
zlim
The range of values to color -- defaults to -1 to 1
show.legend
A legend (key) to the colors is shown on the right hand side
labels
if NULL, use column and row names, otherwise use labels
n.legend
How many categories should be labelled in the legend?
keep.par
restore the graphic parameters when exiting
pval
scale the numbers by their pvals, categorizing them based upon the values of cuts
cuts
Scale the numbers by the categories defined by pval < cuts
select
Select the subset of variables to plot
cex
Character size. Should be reduced a bit for large numbers of variables.
MAR
Allows for adjustment of the margins if using really long labels or big fonts
upper
Should the upper off diagonal matrix be drawn, or left blank?
diag
Should we show the diagonal?
...
Other parameters for axis (e.g., cex.axis to change the font size, srt to rotate the numbers in the plot)