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Check numeric vector

Source: R/check_numeric_vector.R
check_numeric_vector.Rd

These functions check whether the input is a numeric vector.

Usage

check_numeric_vector(
  x,
  lower = -Inf,
  upper = Inf,
  finite = FALSE,
  any.missing = TRUE,
  all.missing = TRUE,
  len = NULL,
  min.len = NULL,
  max.len = NULL,
  unique = FALSE,
  sorted = FALSE,
  names = NULL,
  typed.missing = FALSE,
  null.ok = FALSE
)

assert_numeric_vector(
  x,
  lower = -Inf,
  upper = Inf,
  finite = FALSE,
  any.missing = TRUE,
  all.missing = TRUE,
  len = NULL,
  min.len = NULL,
  max.len = NULL,
  unique = FALSE,
  sorted = FALSE,
  names = NULL,
  typed.missing = FALSE,
  null.ok = FALSE,
  .var.name = checkmate::vname(x),
  add = NULL
)

test_numeric_vector(
  x,
  lower = -Inf,
  upper = Inf,
  finite = FALSE,
  any.missing = TRUE,
  all.missing = TRUE,
  len = NULL,
  min.len = NULL,
  max.len = NULL,
  unique = FALSE,
  sorted = FALSE,
  names = NULL,
  typed.missing = FALSE,
  null.ok = FALSE
)

Arguments

x

[any]
Object to check.

lower

[numeric(1)]
Lower value all elements of x must be greater than or equal to.

upper

[numeric(1)]
Upper value all elements of x must be lower than or equal to.

finite

[logical(1)]
Check for only finite values? Default is FALSE.

any.missing

[logical(1)]
Are vectors with missing values allowed? Default is TRUE.

all.missing

[logical(1)]
Are vectors with no non-missing values allowed? Default is TRUE. Note that empty vectors do not have non-missing values.

len

[integer(1)]
Exact expected length of x.

min.len

[integer(1)]
Minimal length of x.

max.len

[integer(1)]
Maximal length of x.

unique

[logical(1)]
Must all values be unique? Default is FALSE.

sorted

[logical(1)]
Elements must be sorted in ascending order. Missing values are ignored.

names

[character(1)]
Check for names. See checkNamed for possible values. Default is “any” which performs no check at all. Note that you can use checkSubset to check for a specific set of names.

typed.missing

[logical(1)]
If set to FALSE (default), all types of missing values (NA, NA_integer_, NA_real_, NA_character_ or NA_character_) as well as empty vectors are allowed while type-checking atomic input. Set to TRUE to enable strict type checking.

null.ok

[logical(1)]
If set to TRUE, x may also be NULL. In this case only a type check of x is performed, all additional checks are disabled.

.var.name

[character(1)]
Name of the checked object to print in assertions. Defaults to the heuristic implemented in vname.

add

[AssertCollection]
Collection to store assertion messages. See AssertCollection.

Value

Same as documented in check_numeric.

See also

Other vector helpers: check_probability_vector(), chunk_vector(), equidistant_vectors(), insert_vector_entry(), map_indices(), match_numerics(), permutations(), split_vector_at(), subsets(), vector_occurrence()

Examples

x <- c(1, 2, "3")
check_numeric_vector(x)
#> [1] "Must be of type 'numeric', not 'character'"
test_numeric_vector(x)
#> [1] FALSE
if (FALSE) { # \dontrun{
assert_numeric_vector(x)
} # }