I suspect you should be smoothing the series in a manner that
replaces zeros by some usually small larger number before
you start. Without more details on what you are trying to do, it
is impossible to know what is sensible. You are proposing to
leave all smoothing ("rolling"?) till later; why not do some
smoothing at the start?
John Maindonald email: [EMAIL PROTECTED]
phone : +61 2 (6125)3473 fax : +61 2(6125)5549
Centre for Mathematics & Its Applications, Room 1194,
John Dedman Mathematical Sciences Building (Building 27)
Australian National University, Canberra ACT 0200.
On 26 Jul 2008, at 8:00 PM, [EMAIL PROTECTED] wrote:
From: nmarti <[EMAIL PROTECTED]>
Date: 26 July 2008 1:42:09 AM
To: r-help@r-project.org
Subject: Re: [R] Dividing by 0
I'm well aware these are not errors, I guess I miss-wrote.
I understand your concern. Thanks for passionately looking out for
my well
being, you saved my life.
My variable has about 10,000 elements and sometime for the first 100
to 500
elements there is lots of 0's, so I end up with lots of NA/NaN/Inf's.
However, when I try to use "Rolling" calculations I recieve error
messages
because the "Rolling" functions reject the NA/NaN/Inf's. So, I need
0's in
place of the NA/NaN/Inf's so I can run the "Rolling" calculations.
I can't
just delete these observations, because it messes up lots of other
other
things within these dataframes.
I'm well aware these "Rolling" calculations will be wrong in the
beginning
of the dataframe, so I just throw these out. The rolling window is
only
about 50 odservations, so out of 10,000, I still end up with ample
correct
data and calculations.
So is this still idiotic?
Thanks again for your concern. Now that you understand my situation a
little better, you might be less distracted today and be able to sleep
better tonight.
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