Hi All,
I have some data where I am doing fairly simple calculations, nothing more than adding, subtracting, multiplying and dividing. Im running into a problem when I divide one variable by another and when theyre both 0 I get NaN. I realize that if you divide a non-zero by 0 then you get Inf, which is, of course, correct. But in my case I never get Inf, just NaN because of the structure of my dataset. Heres a dumb example: var1 <- c(0, 500, 5379, 0, 1500, 1750) var2 <- c(0, 36, 100, 0, 10, 5) var1/var2 I realize the NaNs are logical, but for my purposes this should just be 0 because I am calculating expenditures and if you spent no money in one sub-area and none in the whole area then you don't have an expenditure at all, so it should be 0. And since R doesn't like adding NA's or NaN's to anything, I'd rather just have this be 0 so that my future calculations, such as adding up expenditure, is simple. Is there an easy way to avoid the NaN's, something a non-programmer (ie, the person I am handing this code off to) would understand? Thanks, Jen [[alternative HTML version deleted]]
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