Why not
Arima(tsdata, c(0, 0, 1), include.drift = TRUE)
?
Why do you say it should be an AR(2) model?
Hope this helps,
Rui Barradas
Às 06:43 de 10/05/19, Rui Barradas escreveu:
Hello,
This is just a typo, in R logical values ("true) are not character
strings. You must pass FALSE (the default, can be omited) or TRUE.
fitdata <- Arima(tsdata, c(2, 0, 0), include.drift = TRUE)
From the help page ?logical
Details
TRUE and FALSE are reserved words denoting logical constants in the R
language, whereas T and F are global variables whose initial values set
to these. All four are logical(1) vectors.
Hope this helps,
Rui Barradas
Às 00:26 de 10/05/19, Bert Gunter escreveu:
In future, always cc the list (unless it's personal,which this isn't). I
have done so here. As I am largely ignorant on the subject matter, others
will have to help, which is why you should cc the list.
Cheers,
Bert Gunter
"The trouble with having an open mind is that people keep coming along
and
sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
On Thu, May 9, 2019 at 3:49 PM Michael Howell <mchowe...@gmail.com>
wrote:
I apologize for that. The Arima() function that I'm trying to use comes
from the forecast package. I created a time series object using the
above
24 observations. The initial model I created doesn't seem to perform so
well so I thought a drift term might fit the data better. I used the
following code to create the time series object:
tsdata<- ts(data, start = c(1,1), end = c(24,1), frequency = 1)
Where* data* is the dataframe that contains the initial 24 observations.
I then used the following code to try to create the model:
fitdata <- Arima(tsdata,c(2,0,0),include.drift="true")
After doing this I obtained the following error message:
Error in (order[2] + seasonal$order[2]) > 1 & include.drift: operations
are possible only for numeric, logical or complex types
Traceback:
1. Arima(tsdata, c(2, 0, 0), include.drift = "true")
I hope this is more clear.
On Thu, May 9, 2019 at 4:39 PM Bert Gunter <bgunter.4...@gmail.com>
wrote:
Please start by reading and following the posting guide linked at the
bottom of this email. In particular:
1) Post in **plain text** on this plain text list so we don't get the
mangled html of your post.
2) Tell us what package Arima() is in.
Cheers,
Bert Gunter
On Thu, May 9, 2019 at 2:27 PM Michael Howell <mchowe...@gmail.com>
wrote:
Hello everyone,
So this is my first post to this list, I'm trying to fit an Arima
(2,0,0)
model and I think a drift term would help but I'm getting an error
term
when I'm trying to include it. Here is my data:
-6.732172338
-2.868884273
-5.371585089
-6.512740463
-4.171062657
-5.738499071
-3.343947176
-1.944879508
-5.464109272
-3.189183392
-3.684700232
-2.168303451
-2.329837082
-0.761979236
-2.189025304
1.094238807
-4.812300745
0.784198777
-1.567075922
0.143963653
1.131119051
2.899746353
-0.498719993
3.121623505 I created a time series object with 24 annual
observations. I
didn't include dates because there isn't an observation for every
year.
tsdata<-ts(read.csv("...\\Pre2001LaunchDateTraining.csv"), start =
c(1,1),
end = c(24,1), frequency = 1) I then created a time series object
using
the
Arima() function. fitdata <- Arima(tsdata,c(2,0,0),include.drift =
"true")
After executing I get this error: Error in (order[2] +
seasonal$order[2]) >
1 & include.drift: operations are possible only for numeric,
logical or
complex types Traceback: 1. Arima(tsdata, c(2, 0, 0), include.drift =
"true")
Any help would be greatly appreciated!
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______________________________________________
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https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide
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and provide commented, minimal, self-contained, reproducible code.
______________________________________________
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
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