R pattern-matching and replacement functions are
vectorized: they can operate on vectors of targets.
However, they can only use one pattern and replacement.
Here is code to apply a different pattern and replacement
for every target. My question: can it be done better?
sub2 <- function(pattern, replacement, x) {
len <- length(x)
if (length(pattern) == 1)
pattern <- rep(pattern, len)
if (length(replacement) == 1)
replacement <- rep(replacement, len)
FUN <- function(i, ...) {
sub(pattern[i], replacement[i], x[i], fixed = TRUE)
}
idx <- 1:length(x)
sapply(idx, FUN)
}
#Example
X <- c("ab", "cd", "ef")
patt <- c("b", "cd", "a")
repl <- c("B", "CD", "A")
sub2(patt, repl, X)
-John
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