PSJ wrote:
Hello useRs,
I have a question regarding the function Dotplot from the Hmisc package: I want
two things:
1) confidence intervals around the dots
2) some additional "annotation" points plotted in the graphic
I can easily achieve (1) by constructing an appropriate object with Cbind. But
for (2) when I use the panel=function argument the confidence intervals of the
original plot are gone.
This is my (simplified) code:
Dotplot(
resultrow ~ Cbind(ESTIM, L95, U95),
data=results,
abline=list(v=0),
scales=list(
y=list(
labels=paste(as.character(foo$bar),
at=results$nranalysis,
cex=0.5
)
),
xlab="some label",
ylab="",
xlim=c(-10,10),
main=paste("a title"),
subscripts = T,
panel=function(...)
{ #panel.xYplot(...)
panel.points(x=rep(9, length(toobig)), y=results$noanalysis[toobig], pch=62)
panel.dotplot(...)
}
)
I tried a number modifications of this code but without success.
I'm sure I'm doing something wrong here, but I cannot figure it out... any
ideas?
Thanks in advance!
Peter
Peter,
The panel function must run panel.Dotplot(...) and not panel.dotplot.
Inside panel you can run whatever else you need.
Frank
Background information:
=======================
My problem is that some of the values to be plotted have a big range, so that one cannot see
what is happening near zero (which is of more interest for me), because the x-axis is
properly scaled by R. So I use xlim to restrict drawing to -10 to 10. But then some points
and confidence intervals are no more visible. So I decided to put a character
">" at x-value 9 for the ones lying above 10 and the code above leads to the
correct plotting of the original data and markers in the right places but the confidence
intervals are gone. I guess that the confidence intervals are themselves plotted by a panel
function which in some way gets overwritten by my custom one.
System Information:
===================
sessionInfo()
R version 2.7.2 (2008-08-25)
i386-pc-mingw32
locale:
LC_COLLATE=German_Germany.1252;LC_CTYPE=German_Germany.1252;LC_MONETARY=German_Germany.1252;LC_NUMERIC=C;LC_TIME=German_Germany.1252
attached base packages:
[1] stats graphics grDevices datasets tcltk utils methods
[8] base
other attached packages:
[1] svSocket_0.9-5 TinnR_1.0.2 R2HTML_1.59 Hmisc_3.4-4
loaded via a namespace (and not attached):
[1] cluster_1.11.11 grid_2.7.2 lattice_0.17-17 svMisc_0.9-5
[5] tools_2.7.2
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------------------------------------------------------------------------
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--
Frank E Harrell Jr Professor and Chair School of Medicine
Department of Biostatistics Vanderbilt University
______________________________________________
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
