Properly store while loop result in R

I have three vectors:

N <- c(213,214,215,216)
R <- c(0.11937253,0.11937253, 0.11937253,0.11937253)
P <- c(0.549252447, 0.549252447, 0.549252447, 0.549252447)

from this vectors I am trying to get a result using a customized function with a nested while loop:

tmp <- function(N,R,P) {
err <- c()
i = 2
while ((N[i-1]+R[i-1]+P[i-1]) < 220) {
if (is.na(N[i])) {
break {
} else {
err <- N[i]/(R[i]+P[i])
i = i + 1
print(err)
  }
}

The focus is on storing err. Using print I can properly see my results (which should be a vector), but when I use return R gives me only the first element of the iteration. How can I get the proper output? It should be a vector containing all the elements coming from the iteration.

NB. Don’t focus on the condition, it’s just a proxy, the real one is another but I checked it and there is no problem there. Moreover, I built an if statement since the the condition of the while loop is very rare and can be it never happens and it would iterate for ever.

The print() function sends a result to the console, but doesn't save it in any other way. You need a combination of what was suggested in the comments. You need to keep adding to err each iteration and then return it at the end of the function.

N <- c(213,214,215,216)
R <- c(0.11937253,0.11937253, 0.11937253,0.11937253)
P <- c(0.549252447, 0.549252447, 0.549252447, 0.549252447)
tmp <- function(N,R,P) {
  err <- c()
  i = 2
  while ((N[i-1]+R[i-1]+P[i-1]) < 220) {
    if (is.na(N[i])) {
      break 
      } else {
        e <- N[i]/(R[i]+P[i])
        err <- c(err, e)
        i = i + 1
        print(e)
        }
  }
  return(err)
}
out <- tmp(N, R, P)
#> [1] 320.0598
#> [1] 321.5554
#> [1] 323.051
out
#> [1] 320.0598 321.5554 323.0510

^{Created on 2023-04-06 with reprex v2.0.2}