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Dear group, I have a matrix like the following: Name Sample1 sample2 sample3 sample4 ..... sample(n) nm1 10.5 13.5 30 31 nm2 8 11 34 29 nm3 9 10.3 27.8 35 nm(j) I want to be able to calculate correlation between all pairs of names. For example (nm1,nm2),

I have one hundred and six independent variable that I would like to preform a correlation analysis on. Is there anyway to only get the values that are abolute value 0.6 or greater. thanks -- Stephen Sefick Research Scientist Southeastern Natural Sciences Academy Let's not spend our time and resources thinking about things that are so little or so large that all they really do for us is

Hello all. I have 14 variables, named D2_1, D2_2,...,D2_14 (inherited from a data set). I would like to create a matrix of correlations, although I would be content in just learning how to create a proper do loop. I tried something like this: (for i in 1:14){cor(D2_[i],D2_[i], use = "complete.obs")} This is wrong, of course, but I don't know how to "tell" R to run

Hi list Is there a possibility to filter certain values out of an R output? In my case: I want to create a vector of p-values in a for loop that invokes for every increment cor.test() on two vectors. I haven't found a way yet to tell cor.test() to only return the p- values instead of the whole text. Thanks, Tobi