i_starmap | R Documentation |
Constructs an iteror that applies the function f
concurrently to the
elements within the list x
.
i_starmap(f, x)
i_star(f, x)
f |
a function to apply to the elements of |
x |
an iterable object |
The iteror returned is exhausted when the shortest element in x
is exhausted. Note that i_starmap
does not recycle arguments as
Map
does.
The primary difference between i_starmap
and
i_map
is that the former expects an iterable object
whose elements are already grouped together, while the latter case groups the
arguments together before applying the given function. The choice is a matter
of style and convenience.
iterator that returns the values of object
along with the
index of the object.
pow <- function(x, y) {
x^y
}
it <- i_starmap(pow, list(c(2, 3, 10), c(5, 2, 3)))
unlist(as.list(it)) == c(32, 9, 1000)
# Similar to the above, but because the second vector is exhausted after two
# calls to `nextElem`, the iterator is exhausted.
it2 <- i_starmap(pow, list(c(2, 3, 10), c(5, 2)))
unlist(as.list(it2)) == c(32, 9)
# Another similar example but with lists instead of vectors
it3 <- i_starmap(pow, list(list(2, 3, 10), list(5, 2, 3)))
as.list(it3)
# Computes sum of each row in the iris data set
# Numerically equivalent to base::rowSums()
tolerance <- sqrt(.Machine$double.eps)
iris_x <- iris[, -5]
it4 <- i_starmap(sum, iris_x)
unlist(as.list(it4)) - rowSums(iris_x) < tolerance
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