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...tween them, and to be able to extract the differences between them. They have all the same number of columns and rows, and correspond presence absence data: for example: m1 <- matrix(c(1,0,0,0,1,0,1,1,1,1,1,1), 3,4) m2 <- matrix(c(1,0,1,0,1,0,0,1,0,1,0,1), 3,4) I tried with the function cor2m() [package=edodist] but it didn't worked and my matrices are much bigger than the ones from the example. Thank you, Carlos -- Carlos GUERRA Gabinete de Sistemas de Informacao Geografica Escola Superior Agraria de Ponte de Lima Mosteiro de Refoios do Lima 4990-706 Ponte de Lima Tlm: +351...

I have two data matrices that I want to make the correlation between each column from data1 and each column from data 2 and also calculate the p-value Matrices dont have the same size and I tried such a script. > bg <- read.table (file.choose(), header=T, row.names) > bg > Otu00022 Otu00029 Otu00039 Otu00042 Otu00101 Otu00105 Otu00125 Otu00131 Otu00137 Otu00155 Otu00158 Otu00172