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Hello! I would like to do Empirical Orthogonal functions and Canonical correlation analysis on satellite data. My matrices are going to be very big (more than 10,000 locations). Are there limitations in R regarding the size of the matrix? thanks a lot regards Isidora

...= 1 message = iteration limit reached without convergence (9)" I've read all about 'notExp2' but since I am not an expert I didn't understand that much. I was wondering if anyone has an example of the use of notExp2, or another suggestion on solving this problem. many thanks Isidora [[alternative HTML version deleted]]

...42.52641,181,... 27.59087,42.52641,181,... 27.60375,42.52641,180,... 27.61662,42.52641,181,... In other words I would like to merge all the tables taking into account the common row names of their xcoords AND ycoords. Is there any way to do this in R? I would be grateful for any advice. Many Thanks Isidora

Dear R-friends, I have to simple questions. First I would like to exclude some columns from a dataframe and after I need select rows that satisfy some conditions. My data frame looks like Region Species Bodysize Weigth Age Africa Sp1 10.2 20 2 Africa Sp2 12.2 12 2 Africa Sp3 15.3 18 3 Africa Sp4 11.5 40 4 Brazil Sp1 10.2 40 3 Brazil Sp2 22.2 32 2 Brazil Sp3 12.3