R help - Jan 2009 - inter-timeseries correlation or corrections

Hello,
I am currently working in the field of climate and environmental data 
analysis which is a lot founded on the analysis, preparation and 
combination of time series.

About a bit more than one year ago I started to use python and the 
marvellous timeseries module [1]. Which offers a very convenient way to 
handle time series. This decision bases also on some experiences of 
other users [2].
Recently, I got drawn to R because the statistical functions in python 
are still in somewhat development. On my to do list is a result based 
comparison for some use cases. I am still new to R but hope to use it 
more often through the Rpy interface.


For an actual project I would like to use a function to apply the 
distribution characteristics of a short-time series  on a modelled 
long-term time series which encloses the shorter one.

Which functions/libraries can you suggest?
Is there already a use case for this?

Thanks and kind regards,
Timmie

[1] http://pytseries.sourceforge.net/
[2] time series: Python vs. R - 
http://article.gmane.org/gmane.comp.python.scientific.user/14393

look at zoo and ts, and it all depends on what you want to do.

On Wed, Jan 7, 2009 at 2:27 PM, Tim Michelsen
<timmichelsen at gmx-topmail.de> wrote:
> Hello,
> I am currently working in the field of climate and environmental data
> analysis which is a lot founded on the analysis, preparation and
combination
> of time series.
>
> About a bit more than one year ago I started to use python and the
> marvellous timeseries module [1]. Which offers a very convenient way to
> handle time series. This decision bases also on some experiences of other
> users [2].
> Recently, I got drawn to R because the statistical functions in python are
> still in somewhat development. On my to do list is a result based
comparison
> for some use cases. I am still new to R but hope to use it more often
> through the Rpy interface.
>
>
> For an actual project I would like to use a function to apply the
> distribution characteristics of a short-time series  on a modelled
long-term
> time series which encloses the shorter one.
>
> Which functions/libraries can you suggest?
> Is there already a use case for this?
>
> Thanks and kind regards,
> Timmie
>
> [1] http://pytseries.sourceforge.net/
> [2] time series: Python vs. R -
> http://article.gmane.org/gmane.comp.python.scientific.user/14393
>
> ______________________________________________
> R-help at 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.
>


-- 
Stephen Sefick

Let's not spend our time and resources thinking about things that are
so little or so large that all they really do for us is puff us up and
make us feel like gods.  We are mammals, and have not exhausted the
annoying little problems of being mammals.

								-K. Mullis

> look at zoo and ts, and it all depends on what you want to do.
I researched a bit.

I am looking at the application of different prediction methods 
(predict.lm etc.) for time series.
	
I have two series of data.
One contains measurements of 30 years. 
The other just 5 years. Both overlap at the beginning/end by 3 years.

I am seeking to build a combined series of both.

Are there any examples for such a procedure?
	
Thanks and kind regards,
Timmie

Example table:

year		A		B
1960		2		
1961		3		
1962		4		
1963		54		
1964		3		
1965		324		
1966		546		
1967		455		
1968		456		
1969		456		67
1970		8987	34
1971		78		34
1972		65		3
1973				123
1974				7688
1975				324