I never used it, but I beleave that it is a job for "mantel.rtest()" available on "ade4" package. In fact Farrar are right, you will neet the XY coordinates. Give a look at "Legendre & Legendre" text book. HTH, Miltinho Brazil
David Farrar <[EMAIL PROTECTED]> escreveu: In addition to the 25 numbers, I assume you have coordinates of each field. Otherwise, I don't understand what you are trying to do. I think ecologists like to use a test due to Mantel in this situation. The prefix "auto" means "self," of course, the idea being that measurements of the same variable under different conditions are correlated. I guess this would be a case of "autodependence." For correlation versus dependence, check your intro stats book. de nada, X'X Farrar Xu Yuan wrote: hello R-friends, I am a R beginner and try to ask a basic question: How to test the spatial dependence of a column of data? for example, I have 25 agricultural fields, and I measure the average slope (%) or pH for each field. All I have is 25 numbers. PS, could someone confirm that "spatial dependence" is equivalent to "spatial correlation" or "spatial autocorrelation" or not. Thank you very much. XY [[alternative HTML version deleted]] ______________________________________________ [email protected] 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. [[alternative HTML version deleted]] ______________________________________________ [email protected] 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. --------------------------------- [[alternative HTML version deleted]] ______________________________________________ [email protected] 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.
