Le 07.02.2005 18:53, Jessica Higgs a écrit :
I've tried using cor() by the following sequence:
C <- cor(x, y = NULL, use = "all.obs", method = c("pearson"))
In ?cor you find that :
If 'use' is '"all.obs"', then the presence of missing observations will produce an error.
try use="complete" instead.
Romain.
where x is my matrix of 21 columns and 3471 rows.
and I get this error:
Error in cor(x, y = NULL, use = "all.obs", method = c("pearson")) : missing observations in cov/cor
any suggestions?
At 08:32 AM 2/7/2005 -0800, Spencer Graves wrote:
Have you considered "cor"? The command 'help.search("correlation")' suggests among other functions "var(stats)", the documentation for which also includes "cor".
If this is not adequate, "PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html ". It may help you get more useful replies in the future. spencer graves
Jessica Higgs wrote:
Hi all:
I have a question on how to go about creating a correlation matrix. I have a huge amount of data....21 variables for 3471 times. I want to see how each of the variables correlate to each other. Any help would be appreciated, including which package and which functions I should use to do this.
Thanks, Jessica Higgs
Masters Student Department of Meteorology Penn State University
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-- Romain FRANCOIS : [EMAIL PROTECTED] page web : http://addictedtor.free.fr/ (en construction) 06 18 39 14 69 / 01 46 80 65 60 _______________________________________________________ Etudiant en 3eme année Institut de Statistique de l'Université de Paris (ISUP) Filière Industrie et Services http://www.isup.cicrp.jussieu.fr/
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