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
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