Re: [R] arima time series in R

2013-06-09 Thread Aakanksha Dahiya01
I am just performing arima time series analysis here.. and package used is 
forecast.  I am just not  able what is ar1,ma1 and ma2.

-Original Message-
From: Prof Brian Ripley [mailto:rip...@stats.ox.ac.uk] 
Sent: Friday, June 07, 2013 5:29 PM
To: Aakanksha Dahiya01
Cc: r-help@r-project.org
Subject: Re: [R] arima time series in R

On 07/06/2013 12:21, Aakanksha Dahiya01 wrote:

 Hi

 Could just anyone explain me the coefficients in the output of arima 
 model

The person who wrote the help page already did, but that is hardly 'just 
anyone'.

 timeseriesarima - arima(series, order=c(1,1,2))
 timeseriesarima
 Series: series
 ARIMA(1,1,2)

 Coefficients:
   ar1  ma1 ma2
0.9744  -1.7695  0.7873
 s.e.  0.0310   0.0481  0.0426

 sigma^2 estimated as 337.4:  log likelihood=-1096.03
 AIC=2200.07   AICc=2200.23   BIC=2214.2

That is not from arima in package stats, so you need to follow the posting 
guide to tell us whose wrapper it is and hence which help page to read.  
(Possibly package TSA.)


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-- 
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Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/
University of Oxford, Tel:  +44 1865 272861 (self)
1 South Parks Road, +44 1865 272866 (PA)
Oxford OX1 3TG, UKFax:  +44 1865 272595

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Re: [R] arima time series in R

2013-06-09 Thread Aakanksha Dahiya01
It would be great help if someone just tell me what does ar1,ma1 and ma2 
signify here.. how do I further predict from these coefficients..

-Original Message-
From: Aakanksha Dahiya01 
Sent: Monday, June 10, 2013 9:54 AM
To: 'Prof Brian Ripley'
Cc: r-help@r-project.org
Subject: RE: [R] arima time series in R

I am just performing arima time series analysis here.. and package used is 
forecast.  I am just not  able what is ar1,ma1 and ma2.

-Original Message-
From: Prof Brian Ripley [mailto:rip...@stats.ox.ac.uk]
Sent: Friday, June 07, 2013 5:29 PM
To: Aakanksha Dahiya01
Cc: r-help@r-project.org
Subject: Re: [R] arima time series in R

On 07/06/2013 12:21, Aakanksha Dahiya01 wrote:

 Hi

 Could just anyone explain me the coefficients in the output of arima 
 model

The person who wrote the help page already did, but that is hardly 'just 
anyone'.

 timeseriesarima - arima(series, order=c(1,1,2))
 timeseriesarima
 Series: series
 ARIMA(1,1,2)

 Coefficients:
   ar1  ma1 ma2
0.9744  -1.7695  0.7873
 s.e.  0.0310   0.0481  0.0426

 sigma^2 estimated as 337.4:  log likelihood=-1096.03
 AIC=2200.07   AICc=2200.23   BIC=2214.2

That is not from arima in package stats, so you need to follow the posting 
guide to tell us whose wrapper it is and hence which help page to read.  
(Possibly package TSA.)


   [[alternative HTML version deleted]]

 __
 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.

That does mean you.



-- 
Brian D. Ripley,  rip...@stats.ox.ac.uk
Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/
University of Oxford, Tel:  +44 1865 272861 (self)
1 South Parks Road, +44 1865 272866 (PA)
Oxford OX1 3TG, UKFax:  +44 1865 272595

 CAUTION - Disclaimer *
This e-mail contains PRIVILEGED AND CONFIDENTIAL INFORMATION intended solely 
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__
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
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Re: [R] arima time series in R

2013-06-09 Thread Pascal Oettli

Hi,

library(forecast)
?Arima

And if you don't know what ar and ma are, you probably should read 
some book before to go further.


Regards,
Pascal


On 10/06/13 14:03, Aakanksha Dahiya01 wrote:

It would be great help if someone just tell me what does ar1,ma1 and ma2 
signify here.. how do I further predict from these coefficients..

-Original Message-
From: Aakanksha Dahiya01
Sent: Monday, June 10, 2013 9:54 AM
To: 'Prof Brian Ripley'
Cc: r-help@r-project.org
Subject: RE: [R] arima time series in R

I am just performing arima time series analysis here.. and package used is 
forecast.  I am just not  able what is ar1,ma1 and ma2.

-Original Message-
From: Prof Brian Ripley [mailto:rip...@stats.ox.ac.uk]
Sent: Friday, June 07, 2013 5:29 PM
To: Aakanksha Dahiya01
Cc: r-help@r-project.org
Subject: Re: [R] arima time series in R

On 07/06/2013 12:21, Aakanksha Dahiya01 wrote:


Hi

Could just anyone explain me the coefficients in the output of arima
model


The person who wrote the help page already did, but that is hardly 'just 
anyone'.


timeseriesarima - arima(series, order=c(1,1,2))

timeseriesarima

Series: series
ARIMA(1,1,2)

Coefficients:
   ar1  ma1 ma2
0.9744  -1.7695  0.7873
s.e.  0.0310   0.0481  0.0426

sigma^2 estimated as 337.4:  log likelihood=-1096.03
AIC=2200.07   AICc=2200.23   BIC=2214.2


That is not from arima in package stats, so you need to follow the posting 
guide to tell us whose wrapper it is and hence which help page to read.  
(Possibly package TSA.)



[[alternative HTML version deleted]]

__
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.


That does mean you.





__
R-help@r-project.org mailing list
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.


[R] arima time series in R

2013-06-07 Thread Aakanksha Dahiya01

Hi

Could just anyone explain me the coefficients in the output of arima model

timeseriesarima - arima(series, order=c(1,1,2))
 timeseriesarima
Series: series
ARIMA(1,1,2)

Coefficients:
 ar1  ma1 ma2
  0.9744  -1.7695  0.7873
s.e.  0.0310   0.0481  0.0426

sigma^2 estimated as 337.4:  log likelihood=-1096.03
AIC=2200.07   AICc=2200.23   BIC=2214.2


 CAUTION - Disclaimer *
This e-mail contains PRIVILEGED AND CONFIDENTIAL INFORMATION intended solely
for the use of the addressee(s). If you are not the intended recipient, please
notify the sender by e-mail and delete the original message. Further, you are 
not
to copy, disclose, or distribute this e-mail or its contents to any other 
person and
any such actions are unlawful. This e-mail may contain viruses. Infosys has 
taken
every reasonable precaution to minimize this risk, but is not liable for any 
damage
you may sustain as a result of any virus in this e-mail. You should carry out 
your
own virus checks before opening the e-mail or attachment. Infosys reserves the
right to monitor and review the content of all messages sent to or from this 
e-mail
address. Messages sent to or from this e-mail address may be stored on the
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[[alternative HTML version deleted]]

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R-help@r-project.org mailing list
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and provide commented, minimal, self-contained, reproducible code.


Re: [R] arima time series in R

2013-06-07 Thread Prof Brian Ripley

On 07/06/2013 12:21, Aakanksha Dahiya01 wrote:


Hi

Could just anyone explain me the coefficients in the output of arima model


The person who wrote the help page already did, but that is hardly 'just 
anyone'.



timeseriesarima - arima(series, order=c(1,1,2))

timeseriesarima

Series: series
ARIMA(1,1,2)

Coefficients:
  ar1  ma1 ma2
   0.9744  -1.7695  0.7873
s.e.  0.0310   0.0481  0.0426

sigma^2 estimated as 337.4:  log likelihood=-1096.03
AIC=2200.07   AICc=2200.23   BIC=2214.2


That is not from arima in package stats, so you need to follow the 
posting guide to tell us whose wrapper it is and hence which help page 
to read.  (Possibly package TSA.)




[[alternative HTML version deleted]]

__
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.


That does mean you.



--
Brian D. Ripley,  rip...@stats.ox.ac.uk
Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/
University of Oxford, Tel:  +44 1865 272861 (self)
1 South Parks Road, +44 1865 272866 (PA)
Oxford OX1 3TG, UKFax:  +44 1865 272595

__
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.