Last data update: 2014.03.03

R: Check if an object is an integerish vector
checkIntegerishR Documentation

Check if an object is an integerish vector

Description

Check if an object is an integerish vector

Usage

checkIntegerish(x, tol = sqrt(.Machine$double.eps), lower = -Inf,
  upper = Inf, any.missing = TRUE, all.missing = TRUE, len = NULL,
  min.len = NULL, max.len = NULL, unique = FALSE, names = NULL,
  null.ok = FALSE)

check_integerish(x, tol = sqrt(.Machine$double.eps), lower = -Inf,
  upper = Inf, any.missing = TRUE, all.missing = TRUE, len = NULL,
  min.len = NULL, max.len = NULL, unique = FALSE, names = NULL,
  null.ok = FALSE)

assertIntegerish(x, tol = sqrt(.Machine$double.eps), lower = -Inf,
  upper = Inf, any.missing = TRUE, all.missing = TRUE, len = NULL,
  min.len = NULL, max.len = NULL, unique = FALSE, names = NULL,
  null.ok = FALSE, .var.name = vname(x), add = NULL)

assert_integerish(x, tol = sqrt(.Machine$double.eps), lower = -Inf,
  upper = Inf, any.missing = TRUE, all.missing = TRUE, len = NULL,
  min.len = NULL, max.len = NULL, unique = FALSE, names = NULL,
  null.ok = FALSE, .var.name = vname(x), add = NULL)

testIntegerish(x, tol = sqrt(.Machine$double.eps), lower = -Inf,
  upper = Inf, any.missing = TRUE, all.missing = TRUE, len = NULL,
  min.len = NULL, max.len = NULL, unique = FALSE, names = NULL,
  null.ok = FALSE)

test_integerish(x, tol = sqrt(.Machine$double.eps), lower = -Inf,
  upper = Inf, any.missing = TRUE, all.missing = TRUE, len = NULL,
  min.len = NULL, max.len = NULL, unique = FALSE, names = NULL,
  null.ok = FALSE)

expect_integerish(x, tol = sqrt(.Machine$double.eps), lower = -Inf,
  upper = Inf, any.missing = TRUE, all.missing = TRUE, len = NULL,
  min.len = NULL, max.len = NULL, unique = FALSE, names = NULL,
  null.ok = FALSE, info = NULL, label = vname(x))

Arguments

x

[any]
Object to check.

tol

[double(1)]
Numerical tolerance used to check whether a double or complex can be converted. Default is sqrt(.Machine$double.eps).

lower

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

upper

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

any.missing

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

all.missing

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

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.

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.

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.

info

[character(1)]
Extra information to be included in the message for the testthat reporter. See expect_that.

label

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

Details

This function does not distinguish between NA, NA_integer_, NA_real_, NA_complex_ NA_character_ and NaN.

Value

Depending on the function prefix: If the check is successful, the functions return TRUE. If the check is not successful, assertIntegerish/assert_integerish throws an error message, testIntegerish/test_integerish returns FALSE, and checkIntegerish returns a string with the error message. The function expect_integerish always returns an expectation.

See Also

Other basetypes: checkArray, checkAtomic, checkCharacter, checkComplex, checkDataFrame, checkDataTable, checkEnvironment, checkFactor, checkFunction, checkInteger, checkList, checkLogical, checkMatrix, checkNumeric, checkVector

Examples

testIntegerish(1L)
testIntegerish(1.)
testIntegerish(1:2, lower = 1L, upper = 2L, any.missing = FALSE)

Results