Unpack or bind values by names into the calling environment.

Unpacks or binds values into the calling environment. Uses bquote escaping. NULL is a special case that is unpacked to all targets. NA targets are skipped. All non-NA target names must be unique.

unpack(wrapr_private_value, ...)

Arguments

wrapr_private_value	list of values to copy
...	argument names to write to

Value

value passed in (invisible)

Details

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. := assigment does not have this side-effect. Array-assign form can not use the names: ., wrapr_private_self, value, or unpack. Function form can not use the names: . or wrapr_private_value. For more details please see here https://win-vector.com/2020/01/20/unpack-your-values-in-r/.

Related work includes Python tuple unpacking, zeallot's arrow, and vadr::bind.

See also

pack

Examples

# named unpacking
# looks like assignment: DESTINATION = NAME_VALUE_USING
d <- data.frame(x = 1:2,
                g=c('test', 'train'),
                stringsAsFactors = FALSE)
unpack[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 train
print(test_set)
#>   x    g
#> 1 1 test
rm(list = c('train_set', 'test_set'))

# named unpacking NEWNAME = OLDNAME implicit form
# values are matched by name, not index
unpack[train, test] := split(d, d$g)
print(train)
#>   x     g
#> 2 2 train
print(test)
#>   x    g
#> 1 1 test
rm(list = c('train', 'test'))

# function version
unpack(split(d, d$g), train, test)
print(train)
#>   x     g
#> 2 2 train
print(test)
#>   x    g
#> 1 1 test
rm(list = c('train', 'test'))

# pipe version
split(d, d$g) %.>% unpack(., train, test)
print(train)
#>   x     g
#> 2 2 train
print(test)
#>   x    g
#> 1 1 test
rm(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'
unpack(split(d, d$g), train = .(train_col_name), test = .(test_col_name))
print(train)
#>   x     g
#> 2 2 train
print(test)
#>   x    g
#> 1 1 test
rm(list = c('train', 'test'))