Unpacks or binds values into the calling environment, eager eval (no-dot) variation. Uses
NULL is a special case that is unpacked to all targets. NA targets are skipped.
All non-NA target names must be unique.
argument names to write to
Note: when using
<- notation, a reference to the unpacker object is written into the unpacking environment as a side-effect
of the implied array assignment.
Array-assign form can not use the names:
function form can not use the names:
For more detials please see here http://www.win-vector.com/blog/2020/01/unpack-your-values-in-r/.
Related work includes
Python tuple unpacking,
zeallot's arrow, and
# named unpacking # looks like assignment: DESTINATION = NAME_VALUE_USING d <- data.frame(x = 1:2, g=c('test', 'train'), stringsAsFactors = FALSE) to[train_set = train, test_set = test] <- split(d, d$g) # train_set and test_set now correctly split print(train_set)#> x g #> 2 2 trainprint(test_set)#> x g #> 1 1 testrm(list = c('train_set', 'test_set')) # named unpacking NEWNAME = OLDNAME implicit form # values are matched by name, not index to[train, test] <- split(d, d$g) print(train)#> x g #> 2 2 train#> x g #> 1 1 testrm(list = c('train', 'test')) # pipe version (notice no dot) split(d, d$g) %.>% to(train, test) print(train)#> x g #> 2 2 train#> x g #> 1 1 testrm(list = c('train', 'test')) # Note: above is wrapr dot-pipe, piping does not currently work with # magrittr pipe due to magrittr's introduction of temporary # intermediate environments during evaluation. # bquote example train_col_name <- 'train' test_col_name <- 'test' to[train = .(train_col_name), test = .(test_col_name)] <- split(d, d$g) print(train)#> x g #> 2 2 train#> x g #> 1 1 test