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Which statistical methods should I use?
4 messages · Mustafa Tufan Turp, Sarah Goslee, Jose Manuel Molina
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 at 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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Mustafa, I have been working with these kind of statistical relationships, and I find that using spatial Pearson cross-correlation is very helpful to analyze hydroclimatological associations. You can see this abstract: http://hydrologydays.colostate.edu/Abstracts_09/Molina_poster_abs.pdf Additional to CCA packages in R, if you feel the correlation maps and information that I mention in that abstract can be useful for your work, I will be pleased to give you more details. Jose.
Mustafa Tufan Turp 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 [[alternative HTML version deleted]]
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Jose M Molina Hydrologic Sciences and Engineering Civil & Environmental Engineering Department Colorado State University jmmolina at engr.colostate.edu "Decide what you are. Decide what you are willing to exchange for it. Establish your priorities and go to work" H. L. Hunt