I need to run a regression analysis with a large number of samples. Each
sample (identified in the first file column) has its own x and y values. I
will use the same model in all samples. How can I run the model for each
sample? In SAS code I would use the BY SAMPLE statement.
Alvaro
analysis (such as
response functions). Has someone developed such rutines in R ?,
thanks in advance,
Alvaro
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(z)
Thanks for your help. However, I have finally implemented a solution
by myself, using a loop that iterates over the original serie. I
haven't been able to find a way of using these functions and
generating a regular time serie in the way I wanted. Thanks anyway.
Alvaro
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Alvaro Saurin
where TRUE/FALSE needed
Ummm, do you know if there is any error in my 'zoo' object? Has it
the right format? Or, could I avoid the conversion and use the
'rapply' function but on time intervals (instead of points intervals)?
Thank you very much.
Alvaro
On 12 Dec 2005, at 16:31, Gabor
)
Error in if (del == 0 to == 0) return(to) :
missing value where TRUE/FALSE needed
Any idea? Thanks for your help.
Alvaro
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, at 16:33, Gabor Grothendieck wrote:
Please provide a reproducible example. Note that dput(x) will output
an R object in a way that can be copied and pasted into another
session.
On 12/13/05, Alvaro Saurin [EMAIL PROTECTED] wrote:
On 13 Dec 2005, at 13:08, Gabor Grothendieck wrote:
Your
.
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been fun to peruse.
Alvaro Muñoz
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