and activities.
So I would like a book covering at least those subjects if possible.
Thanks very much for your help.
--
Jean-Luc Fontaine http://jfontain.free.fr/
__
R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read
a look at moodss and moomps (http://moodss.sourceforge.net/),
modular monitoring applications, which uses R
(http://jfontain.free.fr/statistics.htm) and its log module
(http://jfontain.free.fr/log/log.htm).
- --
Jean-Luc Fontaine http://jfontain.free.fr/
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I am just curious about this...
Would you have any experience or recommendation on a suitable R
package to start with?
Many thanks in advance,
- --
Jean-Luc Fontaine http://jfontain.free.fr/
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- --
Jean-Luc Fontaine http://jfontain.free.fr/
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: AIC =
n*log(S/n) + 2*p
with S the squared residuals and n the number of observations.
Can I get p from arima() (for both non and seasonal cases) result?
I am obviously not an expert in the matter, so please accept my
apologies if this is a stupid question...
Many thanks in advance,
- --
Jean-Luc
be done by using the
first 11 months, predicting the 12th month and comparing with the actual
data.
Or even use as criterion a weighted combination of residuals for the 11
first months and the last month?
Thank you very much for all the pointers and your patience.
- --
Jean-Luc Fontaine http
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I found:
max.col(matrix(c(1,3,2),nrow=1))
Is there a more concise/elegant way?
Thanks,
- --
Jean-Luc Fontaine http://jfontain.free.fr/
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