For example, I fix the set of the first 9 Fibonacci numbers:

(1,1,2,3,5,8,13,21,34)

I would like to generate a sequence of 200 integer numbers by randomly extracting them *from that set of 9 elements*. However, I would like the distribution (of the 200 numbers drawn) not to be uniform but gaussian: obviously I consider *a discrete distribution* that *looks like* the normal distribution. For example, the central element ("5") must have maximum frequency in the sequence of 200 numbers; the other numbers have decreasing frequency: "1" and "34" minimum frequency.

For an **uniform distribution** I know how:

```
a<-c(1,1,2,3,5,8,13,21,34)
sample(a, 200, replace = TRUE)
```

...but I don't know how using a discrete distribution like the one I explained above.

Bye,

M.