On Aug 26, 2010, at 2:35 PM, Le Wang wrote:
Thanks, David.
I did try to use predict() to obtain the graph,
"Try"? How? Code?
( predict() is used to obtain numbers, not to do graphing. )
but it somehow looks
different from the one generated by "plot" command.
I have no idea what you actually did. There is no plot method for
predict objects.
So, I was
wondering if there is any way that I can get the one generated by
"plot" so that I can compare. Thank you.
And, .... what kind of model is "model", anyway? The only
"plot.errors.method" argument with a value of "asymptotic" I could
find went with package np. What does class(model) return?
I fear you have not have read the Posting Guide where it is carefully
explained that one MUST reference packages being used, true? (I
suppose I should have been alerted by the strange plot argument.)
There is no np.predict listed in help for package=np, but after
loading package=np, I do see a predict method: predict.npregression*
So. Why don't you go the full Posting Guide route (and actually
reading the Posting Guide) and include data and code?
--
David,
Le
On Wed, Aug 25, 2010 at 11:15 PM, David Winsemius
<dwinsem...@comcast.net> wrote:
On Aug 25, 2010, at 10:46 PM, Le Wang wrote:
Hi there,
I have a question regarding the "plot" command after estimation.
Specifically, I estimate a model, say regressing y on x and z. And
after estimation, I would like to plot the fitted values against x,
but I don't need that for z. The following command always gives two
graphs, for both variables x and z.
plot.np<-plot(model, plot.errors.method = "asymptotic")
My question is, what option should I specify in order to get the
graph
for x only?
Pick a constant value for "z" and vary "x" in a dataframe that you
offer to
the newdata argument of predict.
?predict
Then plot those values versus x.
I know this is probably a very simple question, but I searched
around
for a while without any luck. Thank you for your time.
--
David Winsemius, MD
West Hartford, CT
--
~~~~~~~~~~~~~~~~~~~~~~
Le Wang, Ph.D
Population Center
University of Minnesota
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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.
David Winsemius, MD
West Hartford, CT
______________________________________________
R-help@r-project.org mailing list
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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.
