Try to access elements and return default values if not found.
In contrast to [at()]
, this function provides a less stricter element
access, that is, it remains valid even if elements don't exist.
Usage
peek_at(.x, ...)
# S3 method for class 'Container'
peek_at(.x, ..., .default = NULL)
# S3 method for class 'dict.table'
peek_at(.x, ..., .default = NULL)
Value
For Container
, returns the value at the given indices or (if not
found) the given default value.
For dict.table
, returns the columns at the given indices or (if not
found) columns with the given default value.
See also
at()
for strict element extraction
Examples
# Container
co = container(a = 1, 2, b = 3, 4)
peek_at(co, 1)
#> [a = 1]
peek_at(co, "a")
#> [a = 1]
peek_at(co, "x")
#> []
peek_at(co, "x", .default = 0)
#> [x = 0]
peek_at(co, "a", "x", 2, 9, .default = -1)
#> [a = 1, x = -1, 2, -1]
# Dict
d = dict(a = 1, b = 1:3)
peek_at(d, "b")
#> {b = (1L 2L 3L)}
peek_at(d, "x")
#> {}
peek_at(d, "x", .default = 4:7)
#> {x = (4L 5L 6L 7L)}
# dict.table
dit = dict.table(a = 1:3, b = 4:6)
peek_at(dit, "a")
#> <dict.table> with 3 rows and 1 column
#> a
#> <int>
#> 1: 1
#> 2: 2
#> 3: 3
peek_at(dit, 1)
#> <dict.table> with 3 rows and 1 column
#> a
#> <int>
#> 1: 1
#> 2: 2
#> 3: 3
peek_at(dit, 3)
#> <dict.table> with 0 rows and 0 columns
#> Null data.table (0 rows and 0 cols)
peek_at(dit, "x")
#> <dict.table> with 0 rows and 0 columns
#> Null data.table (0 rows and 0 cols)
peek_at(dit, "x", .default = 0)
#> <dict.table> with 3 rows and 1 column
#> x
#> <num>
#> 1: 0
#> 2: 0
#> 3: 0
peek_at(dit, "a", "x", .default = 0)
#> <dict.table> with 3 rows and 2 columns
#> a x
#> <int> <num>
#> 1: 1 0
#> 2: 2 0
#> 3: 3 0