I am trying to simulate a series of ones and zeros (1 or 0) and I am using
"rbinom" but realizing that the number of successes expected is not accurate.
Any advice out there.
This is the example:
N<-500
status<-rbinom(N, 1, prob = 0.15)
count<-sum(status)
15 percent of 500 should be 75 but what I obtain from the "count" variable is
77 that gives the probability of success to be 0.154. Not very good.
Is there another way beyond using "sample" and "rep" together?
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