Consider the following named vector x.
( x <- setNames(c(1, 2, 0, NA, 4, NA, NA, 6), letters[1:8]) )
# a b c d e f g h
# 1 2 0 NA
Here's a function I came up from the answers to this question. Thought I'd share it, since it seems to work well so far. It calculates the cumulative FUNC of x while ignoring NA. FUNC can be any one of sum(), prod(), min(), or max(), and x is a numeric vector.
cumSkipNA <- function(x, FUNC)
{
d <- deparse(substitute(FUNC))
funs <- c("max", "min", "prod", "sum")
stopifnot(is.vector(x), is.numeric(x), d %in% funs)
FUNC <- match.fun(paste0("cum", d))
x[!is.na(x)] <- FUNC(x[!is.na(x)])
x
}
set.seed(1)
x <- sample(15, 10, TRUE)
x[c(2,7,5)] <- NA
x
# [1] 4 NA 9 14 NA 14 NA 10 10 1
cumSkipNA(x, sum)
# [1] 4 NA 13 27 NA 41 NA 51 61 62
cumSkipNA(x, prod)
# [1] 4 NA 36 504 NA 7056 NA
# [8] 70560 705600 705600
cumSkipNA(x, min)
# [1] 4 NA 4 4 NA 4 NA 4 4 1
cumSkipNA(x, max)
# [1] 4 NA 9 14 NA 14 NA 14 14 14
Definitely nothing new, but maybe useful to someone.