Hello Bernardo,
Thanks for replying but I think that you miss a small detail, my frequency
isn't 1 but 168 and it looks like this is the bottleneck.
João Santos
Bernardo Rangel tura wrote:
On Fri, 2007-11-09 at 06:58 -0800, Joao Santos wrote:
Hello,
EXAMPLE
##Create time series
= c(aic,aicc, bic),
stepwise=FALSE, trace=TRUE))
user system elapsed
38389.75 3786.29 22849.73
There is some optimization that could be done?
Thanks in advance for the replies!!!
João Santos
Joao Santos wrote:
Hello again,
Sorry but the code that I insert wasn't write
altered the subject line to something less inappropriate.
On Fri, 9 Nov 2007, Joao Santos wrote:
Hello All,
Sorry everybody for another message on this topic but I don't understand
the
times off execution that I have.
From my search in the forum I found that linux old be better to this
kind
of the package maintainer (nor of the person
who wrote to you), nor is that a reproducible example (we don't have
my_file.dat). Please DO study the posting guide!
On Fri, 9 Nov 2007, Joao Santos wrote:
Hello,
EXAMPLE
##Create time series
bb_500 = scan(my_file.dat)
ts - ts(bb_500, frequency=168
= FALSE, ic = c(aic,aicc, bic),
stepwise=TRUE, trace=TRUE)
Sorry for the SPAM!!
João Santos
Joao Santos wrote:
Hello,
I using the fuction auto.arima() from package forecast to predict the
values of p,d,q and P,D,Q.
My problem is the execution time of this function
Hello,
I using the fuction auto.arima() from package forecast to predict the values
of p,d,q and P,D,Q.
My problem is the execution time of this function, for example, a time
series with 2323 values with seasonality to the week take over 8 hours to
execute all the possibilities.
I using a
Hello,
I have a similar problem but in my case I have a seasonal time series and
the gaps are bigger.
Like I said the TS as a seasonality to the week and some gaps are so big
that seasonality is broken.
I need a process to predict this values and keep the seasonality.
From the search that I
and the REGUL fuction works fine.
About your sugestions:
(1) R version
In using R version 2.5.1 (2007-06-27)
(2) meaningful subject line would be nice
Sorry, but this was my first message to the list and only after I post I
realize that the subject was empty.
Ben Bolker wrote:
Joao Santos-7
NA's :40
Then I create a time series and the regul fuction (pastecs package) works
fine.
Thanks again for the replies,
Joao Santos
Joao Santos wrote:
Hello,
I problem is in the format of the date, my time series is like this:
2006070100 1244 6162
2006070101
Hello All,
I trying to use the function auto.arima() from package forecast but I
have a problem.
My steps after I used the function auto.arima(...)
I create the time series like this:
bbrass = scan(C:/Program Files/R/data PTIN/my_file.dat)
regts.start = ISOdatetime(2006, 7, 1, hour=0,
Hello,
I problem is in the format of the date, my time series is like this:
2006070100 1244 6162
2006070101 1221 6060
2006070102 1214 6060
2006070103 1194 5959
2006070104 1182 5858
2006070105 1178
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