From the help page:
"Details
identify is a generic function, and only the default method is
described here.
identify is only supported on screen devices such as X11, windows and
quartz. On other devices the call will do nothing."
Why not collect the specifics of the identified points and then replot
to your chosen output device perhaps with a different color or a text
label? identify should return a value that can be used for that
purpose. The help page provides an example that should be modifiable
for that purpose.
--
David Winsemius
On Mar 5, 2009, at 9:18 AM, Michael Friendly wrote:
In the following, I'm fitting a logistic regression model, and using
car:::influencePlot. When I run the latter with
output to the screen, it calls identify() that lets me label
observations with large CookD.
However, if I use postscript() to get .eps output, identify() seems
not to be called at all. If instead, I
use dev.copy2eps() after getting output to the screen, the point
labels do not appear in the resulting .eps
graph. Why? Is there a workaround?
library(vcd)
data(Arthritis)
# define Better
Arthritis$Better <- Arthritis$Improved > 'None'
arth.mod1 <- glm(Better ~ Age + Sex + Treatment , data=Arthritis,
family='binomial')
library(car)
# influence plot
#postscript(file="arthritis-diag2.eps", paper="special", height=6,
width=6, onefile=TRUE, horizontal=FALSE)
influencePlot(arth.mod1, main="Arthritis data: influencePlot")
#dev.off()
-Michael
--
Michael Friendly Email: friendly AT yorku DOT ca Professor,
Psychology Dept.
York University Voice: 416 736-5115 x66249 Fax: 416 736-5814
4700 Keele Street http://www.math.yorku.ca/SCS/friendly.html
Toronto, ONT M3J 1P3 CANADA
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