Dear Sarah,

I am glad to see your answer. Thank you very much. You are right that I
would be more specific. The NAO is the dominant mode of winter climate
variability in the North Atlantic region ranging from central North America
to Europe and much into Northern Asia. The North Atlantic Oscillation (NAO)
is based on the difference of
normalized sea level pressure (SLP) between Lisbon, Portugal or Ponta
Delgada, Azores and Stykkisholmur/Reykjavik, Iceland since 1864.  There are
daily, monthly and annual index values. At the moment I do not know which
index I use but probably I wil use monthly index like between 1960 and 2000.
So this totally means 40*12 = 480 numbers. Other than this I have station
mean temperature and precipitation database almost for 70 stations. 1
station has 12 value for 1 year and so 40*12=480 numbers for 1 station. If I
use 70 stations 480*70= 33600 totally for all country. I want to see impact
of North Atlantic Oscillation on Turkey's mean temperature and precipitation
trend. By the way, there are different NAO index computed by different
methods. So I want to compare them. Because due to NAO index we can estimate
the weather condition. I hope you understand me:) I think Canonical
Correlation Analysis is a good method for me, do you agree with me?

Regards.

Tufan Turp
Computational Science&Engineering
Bogazici University, Istanbul, Turkey

On Fri, Mar 5, 2010 at 4:29 PM, Sarah Goslee <sarah.goslee@gmail.com> wrote:

> Hi,
>
> We're happy to try to help, but we really need either a specific R
> question or a clearer statement of problem. For instance, I have
> no idea what a NAO index is, or what its statistical properties might
> be. You don't describe what kind of temperature and precipitation data
> you have, or give a clear idea of just what you are trying to test.
>
> R has good facilities for CCA. This article by Gonzalez et al. in the
> Journal of Statistical Software might be of use:
> http://www.jstatsoft.org/v23/i12/
> along with the associated R package.
>
> If you have questions about applying those methods after you
> read the paper and the package help and work through the
> examples, then please explain more clearly what you need so
> that we can help you.
>
> Sarah
>
> On Fri, Mar 5, 2010 at 4:43 AM, Mustafa Tufan Turp <turcomania@gmail.com>
> wrote:
> > Dear members,
> >
> > I have a research on different NAO indices and its impacts on local
> > temperature and precipitation trends. So which correlation method is the
> > best to see their statistical relationship? I thought using Canonical
> > Correlation Analysis works well. By the way I am new at R and can you
> > recommend some packages? Does the CCA help me for analyzing and plots? I
> > need your answers urgently. Thank you.
> >
> > Regards.
> >
> > Tufan Turp
> > Bogazici University
>
>
> --
> Sarah Goslee
> http://www.functionaldiversity.org
>

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