On Oct 22, 2009, at 6:56 AM, Francesca Pancotto wrote:
Dear R community,
probably my question is obvious but I did not find any solution yet by
browsind the mailing list results.
I need to perform a simple ols regression in a dataset with cross
section
data, where no temporal dimension is inserted. In this data set
there are
missing values. I would like the software to perform the ols
regression
but to just ignore these data and consider the rest.
I tried to use the function na.action=na.omit in
lm( y~x, na.action=na.omit)
but it seems to exert no effect on the function.
You would not expect to see a change in behavior since that is the
default na.action for the lm function:
?lm
Some details about x and y would help in understanding why you think
the output is not what should be expected. If you are not going to
provide an example dataset with dput(x) and dput(y) then at the very
least provide summary(x) and summary(y).
--
David Winsemius, MD
Heritage Laboratories
West Hartford, CT
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