Kabeli,
Try sample (see ?sample) and set the prob argument to have larger
probabilities for bigger numbers:
set.seed(5)
x = sample(1:10, 100, prob = c(.03, .03, .04, .05, .05, .05, .15, .2,
.2, .2), replace=TRUE)
>table(x)
x
1 2 3 4 5 6 7 8 9 10
4 3 7 5 9 3 10 18 24 17
Does that get you what you need?
Greg
KABELI MEFANE wrote:
R-list
I am sorry for asking this stupid question, but i have been running in circles. I want to randomly generate a scaling point of between 1 and 10, for say hundred entries, where the first 10% percent is has rates between 2 and 7, the next 15% 3 and 7, 20% between 3 and 9, 20% between 3 and 10, 35% between 5 and 10. The problem is that i can only generate the usual 100 using runif function
> y<-c(ceiling(10*runif(100)))
y
[1] 10 8 5 2 4 1 6 7 1 6 8 8 8 9 7 7 8 8 2 7 3 10 1 7 1
[26] 10 4 8 8 8 9 3 7 8 4 6 7 2 3 1 9 8 2 6 7 4 8 8 9 7
[51] 6 5 4 1 8 7 9 8 10 5 3 7 5 5 4 4 7 4 10 4 9 1 5 10 10
[76] 5 5 10 7 3 4 4 9 10 6 2 6 6 6 3 8 2 2 4 4 10 6 9 4 3
I just want to try to avoid small numbers as much as possible. I am open to
suggestions, please please please.
Kabeli
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Greg Hirson
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Graduate Student
Agricultural and Environmental Chemistry
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