cplot(x,u,labels=names(x), p.adjust.method="holm", ordered=TRUE,
breaks=c(0,0.001,0.01, 0.05, 0.1,1),
col=terrain.colors(length(breaks)-1), log.p=FALSE,
main=paste("Consistency map -", deparse(substitute(x))),
subtitle=NULL, key=FALSE,
key.width=2.54, key.height=0.6,...)length(x) of standard uncertaintieslength(x) labels for x-axis marks.p.adjust.TRUE (the default) observations are arranged in ascending order of x.image.length(breaks)-1. Passed to image.TRUE, the plot shows -log_10(p).TRUE a key is added to the plot.image.log.p==TRUE,
matrix of -log_10(p).|x[i]-x[j]|/sqrt(u[i]^2+u[j]^2) against zero
and plots the p-values as an image.
p.adjust is called prior to plotting to correct for multiple comparisons.
To suppress adjustment, set p.adjust.method="none".
key.height is a fraction of the figure region height. key.width is the width
of the key area in cm, unless under 1, in which case it is interpreted as a
fraction of the plot region width.
If log.p is TRUE and subtitle NULL,
a subtitle indicating the use of log.p is added to the plot,p.adjust, image.data(Pb)
cplot(Pb$value, Pb$u, key=TRUE)Run the code above in your browser using DataLab