Hi,
If I understand correctly, you can just simply keep generating norm
values till you don't get the 100 appropriate one. I am pretty new to
R, but here you go with a function that does this:
rnorm25 <- function(mean,sd,X){
i = 0;
ret = c()
while ( i < 100 ){
r = rnorm(1,mean,sd)
if ( r >= X & r <= X + 25 ){
ret = c(ret,r)
i = i + 1
}
}
print(ret)
}
# test
rnorm25(10,20,17)
Cheers,
zoltanctoth
On Thu, Aug 4, 2011 at 9:03 AM, Vijayan Padmanabhan
<padmanabhan.vija...@gmail.com> wrote:
> Hi
> I am looking at generating a random dataset of say 100 values fitting in a
> normal distribution of a given mean and SD, I am aware of rnorm
> function. However i am trying to build into this function one added
> constraint that all the random value generated should also obey the
> constraint that they only take values between say X to X+25
> How do i do this in R?
> Any help would be highly appreciated,.
> Thanks
> Vijayan Padmanabhan
>
> [[alternative HTML version deleted]]
>
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