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 tim
On Fri, 2007-11-09 at 06:58 -0800, Joao Santos wrote:
> Hello,
>
> EXAMPLE
> ##Create time series
> bb_500 = scan("my_file.dat")
> ts <- ts(bb_500, frequency=168)
>
> ts
> Time Series:
> Start = c(1, 1)
> End = c(3, 164)
> Frequency = 168
> [1] 61 60 60 59 58 58 58 58 58 61 64 65 65 64 64 6
Hello again,
I read the posting guide and now I could send the example.
I also send a mail directly to Prof. Rob J Hyndman that is the maintainer of
package forecast and if I have a answer I will send it to the list.
ts <-
structure(c(61, 60, 60, 59, 58, 58, 58, 58, 58, 61, 64, 65, 65,
64, 64,
This is not the address 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")
Hello,
EXAMPLE
##Create time series
bb_500 = scan("my_file.dat")
ts <- ts(bb_500, frequency=168)
ts
Time Series:
Start = c(1, 1)
End = c(3, 164)
Frequency = 168
[1] 61 60 60 59 58 58 58 58 58 61 64 65 65 64 64 64 63 63 62 61 60 60 60
59 58
[26] 58 58 57 57 57 57 56 57 57 58 59 59 59 60 60
This is not about slowness of Linux nor of R but of a particular function
in a contributed package. Few of us are familiar with that package, and
you have not given a reproducible example. Please do as the posting guide
asked and talk directly to the maintainer (who may well not read this
lis
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