I have a vector V. sum(V) = 100, i.e. it's percentages. length(V) is large. I wish to generate samples (with replacement is fine), integers, in the range 1:length(V) who's distribution is driven by the distribution implied by the percentages in V. V is unsorted, but that could change. I'd rather not be too specific about the distribution of V. I can certainly solve the problem intersecting my thin knowledge of R with my skills in programming, but I suspect this is trivial to somebody fluent in R. Suggestions? Thanks! - ben

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