From a named
list x, create an
environment containing all list components as objects, or
x into a pre-existing environment.
list2env(x, envir = NULL, parent = parent.frame(), hash = (length(x) > 100), size = max(29L, length(x)))
(for the case
(for the case
(in the case
This will be very slow for large inputs unless hashing is used on the environment.
Environments must have uniquely named entries, but named lists need not: where the list has duplicate names it is the last element with the name that is used. Empty names throw an error.
environment, either newly created (as by
new.env) if the
envir argument was
otherwise the updated environment
envir. Since environments
are never duplicated, the argument
envir is also changed.
The (semantical) “inverse”:
L <- list(a = 1, b = 2:4, p = pi, ff = gl(3, 4, labels = LETTERS[1:3])) e <- list2env(L) ls(e) stopifnot(ls(e) == sort(names(L)), identical(L$b, e$b)) # "$" working for environments as for lists ## consistency, when we do the inverse: ll <- as.list(e) # -> dispatching to the as.list.environment() method rbind(names(L), names(ll)) # not in the same order, typically, # but the same content: stopifnot(identical(L [sort.list(names(L ))], ll[sort.list(names(ll))])) ## now add to e -- can be seen as a fast "multi-assign": list2env(list(abc = LETTERS, note = "just an example", df = data.frame(x = rnorm(20), y = rbinom(20, 1, prob = 0.2))), envir = e) utils::ls.str(e)
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