Hi,
You may try:
fun1 <- function(len, low, high, mean, sd) {
x <- rnorm(len * 2, mean, sd)
x <- x[x < high & x > low]
x[1:len]
}
##slow
fun2 <- function(len, low, high, mean, sd) {
i <- 1
while (i < len) {
x <- rnorm(1, mean, sd)
if (x < high & x > low) {
i <- i + 1
}
}
x
}
set.seed(42)
res1 <- fun1(100,-3.7, 3.7, 1,2)
set.seed(42)
res2 <- fun1(100,-3.7, 3.7, 1,2)
identical(res1,res2)
#[1] TRUE
range(res1)
#[1] -2.562617 3.640227
A.K.
On Saturday, June 7, 2014 10:28 PM, zagreus <a0906...@unet.univie.ac.at> wrote:
Hello everyone!
I want to create a data vector using the "rnorm" command. Let's say /x <-
rnorm(100, 1, 2)/. This gives me 100 values from the specific normal
distribution. However, I want to generate a variable that has a certain
range of values, e.g. values can't exceed the interval /[-3.7; 3.7]/. How
can I implement such an interval?
Thanks for your help and sorry if this is totally trivial, I am new to R.
--
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