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
?s 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 <mchowell2 at
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$order[2]) > 1 & include.drift:
operations
>>> are possible only for numeric, logical or complex types
>>> Traceback:
>>>
>>> 1. Arima(tsdata, c(2, 0, 0), include.drift = "true")
>>
>>
>> I hope this is more clear.
>>
>> On Thu, May 9, 2019 at 4:39 PM Bert Gunter <bgunter.4567 at
gmail.com> wrote:
>>
>>> Please start by reading and following the posting guide linked at
the
>>> bottom of this email. In particular:
>>>
>>> 1) Post in **plain text** on this plain text list so we don't
get the
>>> mangled html of your post.
>>>
>>> 2) Tell us what package Arima() is in.
>>>
>>> Cheers,
>>> Bert Gunter
>>>
>>>
>>>
>>>
>>> On Thu, May 9, 2019 at 2:27 PM Michael Howell <mchowell2 at
gmail.com>
>>> wrote:
>>>
>>>> Hello everyone,
>>>> So this is my first post to this list, I'm trying to fit an
Arima (2,0,0)
>>>> model and I think a drift term would help but I'm getting
an error term
>>>> when I'm trying to include it. Here is my data:
>>>>
>>>> -6.732172338
>>>> -2.868884273
>>>> -5.371585089
>>>> -6.512740463
>>>> -4.171062657
>>>> -5.738499071
>>>> -3.343947176
>>>> -1.944879508
>>>> -5.464109272
>>>> -3.189183392
>>>> -3.684700232
>>>> -2.168303451
>>>> -2.329837082
>>>> -0.761979236
>>>> -2.189025304
>>>> 1.094238807
>>>> -4.812300745
>>>> 0.784198777
>>>> -1.567075922
>>>> 0.143963653
>>>> 1.131119051
>>>> 2.899746353
>>>> -0.498719993
>>>> 3.121623505 I created a time series object with 24 annual
observations. I
>>>> didn't include dates because there isn't an observation
for every year.
>>>>
>>>>
tsdata<-ts(read.csv("...\\Pre2001LaunchDateTraining.csv"), start
>>>> c(1,1),
>>>> end = c(24,1), frequency = 1) I then created a time series
object using
>>>> the
>>>> Arima() function. fitdata <-
Arima(tsdata,c(2,0,0),include.drift >>>> "true")
>>>> After executing I get this error: Error in (order[2] +
>>>> seasonal$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!
>>>>
>>>> [[alternative HTML version deleted]]
>>>>
>>>> ______________________________________________
>>>> R-help at 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
>>>> and provide commented, minimal, self-contained, reproducible
code.
>>>>
>>>
>
> [[alternative HTML version deleted]]
>
> ______________________________________________
> R-help at 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
> and provide commented, minimal, self-contained, reproducible code.
>
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 ?s 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 > > ?s 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 <mchowell2 at 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$order[2]) > 1 & include.drift: operations >>>> are possible only for numeric, logical or complex types >>>> Traceback: >>>> >>>> 1. Arima(tsdata, c(2, 0, 0), include.drift = "true") >>> >>> >>> ? I hope this is more clear. >>> >>> On Thu, May 9, 2019 at 4:39 PM Bert Gunter <bgunter.4567 at gmail.com> >>> wrote: >>> >>>> Please start by reading and following the posting guide linked at the >>>> bottom of this email. In particular: >>>> >>>> 1) Post in **plain text** on this plain text list so we don't get the >>>> mangled html of your post. >>>> >>>> 2) Tell us what package Arima() is in. >>>> >>>> Cheers, >>>> Bert Gunter >>>> >>>> >>>> >>>> >>>> On Thu, May 9, 2019 at 2:27 PM Michael Howell <mchowell2 at gmail.com> >>>> wrote: >>>> >>>>> Hello everyone, >>>>> So this is my first post to this list, I'm trying to fit an Arima >>>>> (2,0,0) >>>>> model and I think a drift term would help but I'm getting an error >>>>> term >>>>> when I'm trying to include it. Here is my data: >>>>> >>>>> -6.732172338 >>>>> -2.868884273 >>>>> -5.371585089 >>>>> -6.512740463 >>>>> -4.171062657 >>>>> -5.738499071 >>>>> -3.343947176 >>>>> -1.944879508 >>>>> -5.464109272 >>>>> -3.189183392 >>>>> -3.684700232 >>>>> -2.168303451 >>>>> -2.329837082 >>>>> -0.761979236 >>>>> -2.189025304 >>>>> 1.094238807 >>>>> -4.812300745 >>>>> 0.784198777 >>>>> -1.567075922 >>>>> 0.143963653 >>>>> 1.131119051 >>>>> 2.899746353 >>>>> -0.498719993 >>>>> 3.121623505 I created a time series object with 24 annual >>>>> observations. I >>>>> didn't include dates because there isn't an observation for every >>>>> year. >>>>> >>>>> tsdata<-ts(read.csv("...\\Pre2001LaunchDateTraining.csv"), start >>>>> c(1,1), >>>>> end = c(24,1), frequency = 1) I then created a time series object >>>>> using >>>>> the >>>>> Arima() function. fitdata <- Arima(tsdata,c(2,0,0),include.drift >>>>> "true") >>>>> After executing I get this error: Error in (order[2] + >>>>> seasonal$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! >>>>> >>>>> ???????? [[alternative HTML version deleted]] >>>>> >>>>> ______________________________________________ >>>>> R-help at 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 >>>>> and provide commented, minimal, self-contained, reproducible code. >>>>> >>>> >> >> ????[[alternative HTML version deleted]] >> >> ______________________________________________ >> R-help at 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 >> and provide commented, minimal, self-contained, reproducible code. >> > > ______________________________________________ > R-help at 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 > and provide commented, minimal, self-contained, reproducible code.
Hello, Sorry for the late reply. Inline. ?s 17:54 de 10/05/19, Michael Howell escreveu:> Rui, > I'm still new to ARIMA forecasting but I examined the PACF and saw > significant correlation at lag 2.You saw a PACF with a significant correlation at lag 2 but not at lag 1. When this happens, it many times means that you shouldn't consider the lag 2. In fact, it might mean that the process is nonlinear. And the ACF shows an insignificant lag 1. Try ords <- list(c(1, 0, 0), c(2, 0, 0), c(0, 0, 1)) fit_list <- lapply(ords, function(o) Arima(tsdata, order = o, include.drift = TRUE)) sapply(fit_list, AIC) sapply(fit_list, BIC) Which gives the minimum AIC? And BIC? These are not perfect and automated model selection can have problems, but it's not unreasonable to compare them. I believe this is off-topic for R-Help, since it's a question about statistics and nonlinear time series is a really, really broad field to be discussed here. Try to find local help on this. Hope this helps, Rui Barradas The ACF showed a more gradual decline> which seemed to indicate it was Autoregressive. That should mean it's a > AR(2) process right? > > image.png > **//___^ > Regards, > Michael Howell > > > On Fri, May 10, 2019 at 12:51 AM Rui Barradas <ruipbarradas at sapo.pt > <mailto:ruipbarradas at sapo.pt>> wrote: > > 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 > > ?s 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 > > > > ?s 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 > <mchowell2 at gmail.com <mailto:mchowell2 at 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.4567 at gmail.com <mailto:bgunter.4567 at 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 > <mchowell2 at gmail.com <mailto:mchowell2 at 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! > >>>>> > >>>>> ???????? [[alternative HTML version deleted]] > >>>>> > >>>>> ______________________________________________ > >>>>> R-help at r-project.org <mailto:R-help at 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 > >>>>> and provide commented, minimal, self-contained, reproducible > code. > >>>>> > >>>> > >> > >> ????[[alternative HTML version deleted]] > >> > >> ______________________________________________ > >> R-help at r-project.org <mailto:R-help at 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 > >> and provide commented, minimal, self-contained, reproducible code. > >> > > > > ______________________________________________ > > R-help at r-project.org <mailto:R-help at 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 > > and provide commented, minimal, self-contained, reproducible code. >
Yes that is a little off topic but I will look into it more. Thank you very much for your help. Michael On Mon, May 13, 2019 at 11:33 AM Rui Barradas <ruipbarradas at sapo.pt> wrote:> Hello, > > Sorry for the late reply. > Inline. > > ?s 17:54 de 10/05/19, Michael Howell escreveu: > > Rui, > > I'm still new to ARIMA forecasting but I examined the PACF and saw > > significant correlation at lag 2. > > You saw a PACF with a significant correlation at lag 2 but not at lag 1. > When this happens, it many times means that you shouldn't consider the > lag 2. In fact, it might mean that the process is nonlinear. > And the ACF shows an insignificant lag 1. > > Try > > ords <- list(c(1, 0, 0), c(2, 0, 0), c(0, 0, 1)) > fit_list <- lapply(ords, function(o) > Arima(tsdata, order = o, include.drift = TRUE)) > sapply(fit_list, AIC) > sapply(fit_list, BIC) > > > Which gives the minimum AIC? And BIC? > These are not perfect and automated model selection can have problems, > but it's not unreasonable to compare them. > > I believe this is off-topic for R-Help, since it's a question about > statistics and nonlinear time series is a really, really broad field to > be discussed here. Try to find local help on this. > > Hope this helps, > > Rui Barradas > > The ACF showed a more gradual decline > > which seemed to indicate it was Autoregressive. That should mean it's a > > AR(2) process right? > > > > image.png > > **//___^ > > Regards, > > Michael Howell > > > > > > On Fri, May 10, 2019 at 12:51 AM Rui Barradas <ruipbarradas at sapo.pt > > <mailto:ruipbarradas at sapo.pt>> wrote: > > > > 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 > > > > ?s 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 > > > > > > ?s 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 > > <mchowell2 at gmail.com <mailto:mchowell2 at 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.4567 at gmail.com <mailto:bgunter.4567 at 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 > > <mchowell2 at gmail.com <mailto:mchowell2 at 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! > > >>>>> > > >>>>> [[alternative HTML version deleted]] > > >>>>> > > >>>>> ______________________________________________ > > >>>>> R-help at r-project.org <mailto:R-help at 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 > > >>>>> and provide commented, minimal, self-contained, reproducible > > code. > > >>>>> > > >>>> > > >> > > >> [[alternative HTML version deleted]] > > >> > > >> ______________________________________________ > > >> R-help at r-project.org <mailto:R-help at 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 > > >> and provide commented, minimal, self-contained, reproducible > code. > > >> > > > > > > ______________________________________________ > > > R-help at r-project.org <mailto:R-help at 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 > > > and provide commented, minimal, self-contained, reproducible code. > > >[[alternative HTML version deleted]]