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2012 Apr 10
1
compare two matrices
...and I want to compare them. In fact I want to check the hypothesis if they come from the same process. I tried to look for some test but all I found was independence test of contingency tables. The following code shows that the usual chi-squared test statistic does not follow chisq distribution. MCRepl <- 5000 khi12 <- rep(0,MCRepl) for (i in 1:MCRepl){ n <- 10000 M1 <- matrix(table(sample(1:9, size = n, replace = TRUE)),3,3) M1 <- M1/rowSums(M1) M2 <- matrix(table(sample(1:9, size = n, replace = TRUE)),3,3) M2 <- M2/rowSums(M2) khi12[i] <- sum((M1-M2)...