On May 4, 2012, at 10:52 AM, Saurav Pathak wrote:
On 05/04/2012 10:39 AM, David Winsemius wrote:
On May 3, 2012, at 7:10 PM, Saurav Pathak wrote:
Hi,
For some reason I have been unable to use the predict function
when I desire the standard error to be calculated too. For
example, when I try the following:
l<- loess(d~x+y, span=span, se=TRUE)
p<- predict(l, se=TRUE)
I don't know what effect the se=TRUE will have in the first call.
As far as I can tell there is no such argument to loess(). Could it
be that the extranous argument is have an adverse effect on the
effort to later use predict (which does have such an argument.)?
Thanks for your reply. I tried the following with the same error
message:
l <- loess(d~x+y, span=span)
p <- predict(l, se=TRUE)
Time for data.
--
David.
I get the following error message:
Error in vector("double", length) : vector size cannot be NA
In addition: Warning message:
In N * M1 : NAs produced by integer overflow
But when I try the following:
l<- loess(d~x+y, span=span, se=TRUE)
p<- predict(l, se=FALSE)
I have no problem, and p$fit gives me the desired fitted values.
Note that the only difference in this piece of code is se=FALSE.
My data d is a vector, and x and y are vectors too of the same
length.
Any help will be greatly appreciated.
Thanks,
Saura
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