thank you all for your suggestions and feedback, with further search and
experimentation, the problem is with the auto.arima function with large k
values, it takes 4 min to compute one model with k=30 and the time
increases with K, so i used your suggestions for collecting the output but
i limited
With 96k model fits it's going to be slow, so you might want to think
first about whether you need to do them all. Beyond that, I think this
is more in the R style, so might be quicker (I don't know how much the
loops are slowing you down), and even if not it should be easier to
adapt.
The other t
Hi Micheal, Maybe there is a simple way but i wanted to get the lowest aicc
ana i could not find a way to do so, that's why i created the table to
store all possible outcomes and then i can easily get the minimum value and
the values of (i,j and k) used for that minimum value. The first column in
Well I do not know about data.table but in standard R if you go
AICc[,1] <- 3
it fills the whole column with 3 so you will end up with a table with
the last value of AICc stored in every row which is almost certainly not
what you want.
Michael
On 06/02/2019 14:15, salah maadawy wrote:
Hi Mich
This seems like an odd analysis to me, but I don't have time to look
closer at it. It certainly doesn't look simple to me... I hope you have
some good theoretical guidance in tackling this (which this mailing list
is not).
One obvious thing is that z1 only depends on i, so you should only have
This is not an answer to your speed problem but are your assignments to
AICc[,1] and so on doing what you hope they are doing?
Michael
On 06/02/2019 12:03, salah maadawy wrote:
i am a beginner regarding R but i am trying to do a simple thing, but it is
taking too much time and i am asking if t
i am a beginner regarding R but i am trying to do a simple thing, but it is
taking too much time and i am asking if there is any way to achieve what i
need, i have a time series data set with 730 data points, i detected 7, 354
and 365 seasonality periods. i am trying to use Fourier terms for
season
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