Thanks Rob and Ravi for the replies. Let me try to explain my problem. I am trying to make a kind of sensitivity analysis where I have 5 parameters (the margins of the Latin hypercube), 3 of them are proportions that should sum to one. My idea is to obtain uniform combinations of the 3 proportion-parameters with the other two parameters. The uniformity should be maintained in order to guarantee that each parameter (out of 5) have its own range of values equally represented (for model output analyses).
Theoretically the 3 proportion-parameters might be regarded as one in which the configuration of the proportions that sum to one vary. I think I can visualize it like a set of permutations, more or less like in the example below: 0.1 - 0.1 - 0.8 0.1 - 0.2 - 0.7 0.1 - 0.3 - 0.6 . . . 0.1 - 0.1 - 0.8 0.2 - 0.1 - 0.7 0.3 - 0.1 - 0.6 . . . 0.8 - 0.1 - 0.1 0.7 - 0.2 - 0.1 0.6 - 0.3 - 0.1 . . . and so on, until all possible combinations are represented (and doing it with more values) and then combined with the other two parameters as to form a Latin hypercube. The solutions given in the thread sent by Ravi work fine for random generation of the 3 proportion-parameters, but it is hard to make a Latin hypercube out of that with two more parameters. Cheers, Duarte ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.