I'm having a lot of trouble getting this done and nothing I've written has been remotely successful. Basically I have about 64 binary data sets stored as vectors, with 72900 entries in each. I am not very familiar with cross correlations, but I was advised that I should create 1000 randomized date sets (used sample() for that) to use as a control, then compare the cross correlation of my real data sets to the controls. First of all I am having trouble creating 1000 different sample()'s of the same vector, and then I am not all too sure how to cross correlate them Nothing seems to produce what I want, all I get are copies of the same sample() of the vector repeated over and over. Please Help?
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