On Jul 25, 2010, at 8:18 AM, Xebar Saram wrote:
Hi
I am very new to R (so excuse me in advance if this is pretty trivial)
I am using the predict function to get prediction on a dataset from
another dataset using the follwoing command:
newpredT2003 = predict( object=out.model_T2003, newdata=aodmc_2003 ,
level = 0 )
I would have used interval="none" if my intent were to suppress
calculation of confidence intervals. It's possible that setting levels
to 0 would accomplish the same goal but I would need examination of
the code since the help page for predict.lm does not tell me whether
level=0 is an acceptable alternative.
yet i get this error:
Error in na.fail.default(list(AOD = c(0.092, 0.081, 0.086, 0.085,
0.09, :
missing values in object
Calls: predict ... model.frame.default -> <Anonymous> ->
na.fail.default
If you provide results of:
str() on both the data.frames and ....
show us the code that was used to create that model object, ...
.... it might be possible to answer this question. At the moment only
those who possess mind-reading powers could provide any substantive
help. (You should re-read the Posting Guide more thoroughly, since it
should have been apparent from its reading that inclusion of more
detailed information was expected of you.)
i think its something simple but cant find any info when googling..can
anyone point me in the right direction on what needs to be done to fix
the errors?
As a general rule, the newdata object must be a data.frame containing
only complete cases of all of the variables in the derivation dataset.
It appears that you may be failing the "complete cases requirement"
based on a cursory examination of the error message. This should have
been clear from reading the help page for predict.
--
David Winsemius, MD
West Hartford, CT
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