I was, and the answer is yes, but I figured the easiest way for you to
understand is for me to say exactly what I am trying to do. Perhaps I don't
even need to decompose (although I think I do). If I can get past this
problem it would make everything else so much easier.
P.Dalgaard wrote:
>
> ethanhaas wrote:
>> What I'm trying to do is have plots and summary statistics of x
>> (autocorrelations for example) where x refers to the data in using, and I
>> thought decomposing would be the way to go about it.
>>
>>
>>
> You are not listening. I give up.
>
>> P.Dalgaard wrote:
>>
>>> ethanhaas wrote:
>>>
>>>> I simply called it information but I can also call it data if you wish,
>>>> it
>>>> doesn't make a difference.
>>>> The timeseries is simply the time series of this data between the two
>>>> dates
>>>> and using is the data up to 1990 as opposed to 1994.
>>>>
>>>>
>>>>
>>> And isn't it one of the latter two you want to decompose()?
>>>
>>>
>>>> P.Dalgaard wrote:
>>>>
>>>>
>>>>> ethanhaas wrote:
>>>>>
>>>>>
>>>>>> I've been trying for the past 3 weeks to use R (much better than
>>>>>> Matlab
>>>>>> but I
>>>>>> am very bad with computers so I am very new to all of this) and know
>>>>>> how
>>>>>> to
>>>>>> input the data (hey, it's a start!) but every time I type in the
>>>>>> following:
>>>>>>
>>>>>> dcm <- decompose(information)
>>>>>>
>>>>>> I get the following error message:
>>>>>>
>>>>>> Error in decompose(information) : time series has no or less than 3
>>>>>> periods
>>>>>>
>>>>>> Could you please aid me so that I can progress to the next step. What
>>>>>> I
>>>>>> am
>>>>>> in fact trying to do at the moment is plot a graph of the information
>>>>>> so
>>>>>> I
>>>>>> had assumed it would be:
>>>>>>
>>>>>> dcm <- decompose(information)
>>>>>> Plot(dcm$trend)
>>>>>>
>>>>>> but obviously it does not appear to be the case.
>>>>>>
>>>>>> By the way the code I have right now in case it helps is:
>>>>>>
>>>>>> information <- scan("everything.txt")
>>>>>> timeseries <- ts(information, frequency = 11, start = c(1970, 1994))
>>>>>> using <- window(timeseries, end = c(1990, 11))
>>>>>> dcm <- decompose(information)
>>>>>> Plot(dcm$trend)
>>>>>>
>>>>>>
>>>>>>
>>>>>>
>>>>> Er, are you sure it is "information" that you want to decompose()? (If
>>>>> so, what are the computations of "timeseries" and "using" supposed to
>>>>> be
>>>>> good for?)
>>>>>
>>>>>
>>>>>
>>>>>> Thank you very much in advance, I really appreciate the help.
>>>>>>
>>>>>>
>>>>>>
>>>>> --
>>>>> O__ ---- Peter Dalgaard Øster Farimagsgade 5, Entr.B
>>>>> c/ /'_ --- Dept. of Biostatistics PO Box 2099, 1014 Cph. K
>>>>> (*) \(*) -- University of Copenhagen Denmark Ph: (+45)
>>>>> 35327918
>>>>> ~~~~~~~~~~ - ([EMAIL PROTECTED]) FAX: (+45)
>>>>> 35327907
>>>>>
>>>>> ______________________________________________
>>>>> R-help@r-project.org mailing list
>>>>> 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.
>>>>>
>>>>>
>>>>>
>>>>>
>>>>
>>>>
>>> --
>>> O__ ---- Peter Dalgaard Øster Farimagsgade 5, Entr.B
>>> c/ /'_ --- Dept. of Biostatistics PO Box 2099, 1014 Cph. K
>>> (*) \(*) -- University of Copenhagen Denmark Ph: (+45)
>>> 35327918
>>> ~~~~~~~~~~ - ([EMAIL PROTECTED]) FAX: (+45)
>>> 35327907
>>>
>>> ______________________________________________
>>> R-help@r-project.org mailing list
>>> 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.
>>>
>>>
>>>
>>
>>
>
>
> --
> O__ ---- Peter Dalgaard Øster Farimagsgade 5, Entr.B
> c/ /'_ --- Dept. of Biostatistics PO Box 2099, 1014 Cph. K
> (*) \(*) -- University of Copenhagen Denmark Ph: (+45)
> 35327918
> ~~~~~~~~~~ - ([EMAIL PROTECTED]) FAX: (+45)
> 35327907
>
> ______________________________________________
> R-help@r-project.org mailing list
> 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.
>
>
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