How would you program Pascal's triangle in R?

Question

I am reading, on my own (not for HW) about programming, and one exercise involved programming Pascal\'s triangle in R. My first idea was to make a list and then append thin

Answer 1

using a property of the Pascal triangle:

x <- 1
print(x)
for (i in 1:10) { x <- c(0, x) + c(x, 0); print(x) }

I suppose this code is very fast.

Answer 2

There is one solution on Rosetta Code:

pascalTriangle <- function(h) {
  for(i in 0:(h-1)) {
    s <- ""
    for(k in 0:(h-i)) s <- paste(s, "  ", sep="")
    for(j in 0:i) {
      s <- paste(s, sprintf("%3d ", choose(i, j)), sep="")
    }
    print(s)
  }
}

I would store this in a list if I was developing it myself, since that is the most natural data structure to handle variable length rows. But you really would need to clarify a use case before making that decision. Are you intending on doing analysis on the data after it has been generated?

Edit:

Here is the Rosetta solution rewritten with less looping, and storing the results as a list:

pascalTriangle <- function(h) {
  lapply(0:h, function(i) choose(i, 0:i))
}