Dear Dave and Roland
Thanks for your answers! I think sample() does the job I'm looking for.
I also came up with rmultinom(), but could not make it working, because
I don't want several multinomial distributed vectors, but one vector
with K levels of predefined proportions. Propably there is a way to do
that with rmultinom() - Dave, could you make up a short example?
Best wishes
Christian
Rau, Roland schrieb:
>Hi,
>
>
>
>
>>Does anybody know a function that generates a factor of
>>length N with K
>>levels given the proportions c(p1, p2,... ,pk)? It would not
>>
>>
>
>## does this code piece help you?
>
>mydata <- c("yesterday", "today", "tomorrow")
>myproportions <- c(0.3, 0.5, 0.2)
>
>n <- 20
>sample(x=mydata, size=n, replace=TRUE, prob=myproportions)
>
>cat("Best,\nRoland\n")
>
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