# Random walk sum of values greater than 0 in R

I want to write a function such that rwabovex is the sum of the values of S that are greater than 0. (My S is a random walk simulation)

Here's what I have so far but I'm not getting the right output. Can you please help?

```rwabovex=function(n){
if (n <= 0) {
return(cat("n must be greater than 0"))
} else {
S=numeric(n)
S = 0
above = 0
for(i in 2:n) {
step=c(1, -1)
S[i]=S[i-1]+sample(step, 1, prob = c(0.5, 0.5), replace = TRUE)
if (S[i] > 0) {
above = above + S[i]
}
print(above)
}
}
}
```

For example: if n=4 and the S values are -1, 2, 1, 0 then "above" should equal to 3 (since 2 and 1 are greater than 0).

Thanks!

## Answers

First, you're not using vectorization to compute S, which will make the procedure slow for large n. You can vectorize using cumsum. Secondly, you can use sum to compute the sum of values in S greater than 0:

```rwabovex = function(n) {
step = c(1, -1)
S = c(0, cumsum(sample(step, n-1, prob=c(.5, .5), replace=T)))
print(S)
return(sum(S[S > 0]))
}

set.seed(144)
rwabovex(10)
#    0 -1  0  1  2  1  2  1  2  1
#  10
```

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