Description Usage Arguments Details Value See Also Examples
This function returns TRUE
if the variable type is correct and FALSE
otherwise. Depending on the type, a number of other attributes can be checked
simultaneously, such as length, using n
, or size of rows and columns, using
n_row
and n_col
respectively.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 |
x |
(any) The object to test. |
type |
(character) The allowed type. |
n |
(integer, optional) The allowed length. If |
class |
(character) The allowed class. |
levels |
(character, optional) The allowed levels. If |
dims |
(integer, optional) The allowed dimension sizes. If |
n_col |
(integer, optional) The allowed number of columns. If |
n_row |
(integer, optional) The allowed number of rows. If |
The following types can be checked:
is_type()
: 'x"' must have type type
and optionally length n
.
is_class()
: 'x"' must have class class
and optionally length n
.
is_natural()
: 'x' must be a positive integer vector and optionally length
n
.
is_number()
: 'x' must be a numeric vector and optionally length n
.
is_factor()
: 'x' must be a factor vector and optionally length n
.
is_array()
: 'x' must be an array and optionally have dimension size
dims
.
is_matrix()
: 'x' must be a matrix and optionally have number of columns
n_col
and number of rows n_row
.
is_data_frame()
: 'x' must be a data.frame and optionally have number of
columns n_col
and number of rows n_row
.
TRUE if x is a valid URL, FALSE otherwise
rlang::is_null()
, rlang::is_atomic()
, rlang::is_vector()
,
rlang::is_logical()
, rlang::is_integer()
, rlang::is_double()
,
rlang::is_character()
, rlang::is_raw()
, rlang::is_bytes()
,
rlang::is_list()
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 | # TRUE
is_type(1:3, "integer")
is_type(data.frame(a = 1:26, b = letters), "list")
is_type(1:3, "integer", n = 3)
# FALSE
is_type(data.frame(a = 1:26, b = letters), "data.frame")
is_type(1:3, "integer", n = 1)
# TRUE
is_class(1:3, "integer")
is_class(data.frame(a = 1:26, b = letters), "data.frame")
is_class(1:3, "integer", n = 3)
# FALSE
is_class(data.frame(a = 1:26, b = letters), "list")
is_class(1:3, "integer", n = 1)
# TRUE
is_natural(1:3)
is_natural(c(1.0, 2.0))
is_natural(1:3, n = 3)
# FALSE
is_natural(-1:-3)
is_natural(3.142)
is_natural(1:3, n = 1)
# TRUE
is_number(1:3)
is_number(c(1.2, 2.4))
is_number(1:3, n = 3)
# FALSE
is_number("text")
is_number(1:3, n = 1)
# TRUE
is_factor(factor(c("a", "b", "a")))
is_factor(factor(c("a", "b", "a")), n = 3)
is_factor(factor(c("a", "b", "a")), levels = c("a", "b"))
# FALSE
is_factor(1:3)
is_factor(factor(c("a", "b", "a")), n = 1)
is_factor(factor(c("a", "b", "a")), levels = c("A", "B"))
# TRUE
is_array(array(1:3))
is_array(array(1:12, dim = c(3, 4)))
is_array(array(1:12, dim = c(3, 4)), dims = c(3, 4))
# FALSE
is_array(1:3)
is_array(array(1:12, dim = c(3, 4)), dims = c(4, 3))
# TRUE
is_matrix(matrix(1:3))
is_matrix(matrix(1:12, nrow = 3, ncol = 4), n_col = 4)
is_matrix(matrix(1:12, nrow = 3, ncol = 4), n_row = 3)
# FALSE
is_matrix(1:3)
is_matrix(matrix(1:12, nrow = 3, ncol = 4), n_col = 3)
is_matrix(matrix(1:12, nrow = 3, ncol = 4), n_row = 4)
# TRUE
is_data_frame(data.frame(a = 1:26, b = letters))
is_data_frame(data.frame(a = 1:26, b = letters), n_col = 2)
is_data_frame(data.frame(a = 1:26, b = letters), n_row = 26)
# FALSE
is_data_frame(list(a = 1:26, b = letters))
is_data_frame(data.frame(a = 1:26, b = letters), n_col = 5)
is_data_frame(data.frame(a = 1:26, b = letters), n_row = 5)
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