checkCount: Check if an argument is a count

Description

A count is defined as non-negative integerish value.

Usage

checkCount(x, na.ok = FALSE, positive = FALSE,
  tol = sqrt(.Machine$double.eps))
assertCount(x, na.ok = FALSE, positive = FALSE,
  tol = sqrt(.Machine$double.eps), .var.name = vname(x), add = NULL)
assert_count(x, na.ok = FALSE, positive = FALSE,
  tol = sqrt(.Machine$double.eps), .var.name = vname(x), add = NULL)
testCount(x, na.ok = FALSE, positive = FALSE,
  tol = sqrt(.Machine$double.eps))
test_count(x, na.ok = FALSE, positive = FALSE,
  tol = sqrt(.Machine$double.eps))
expect_count(x, na.ok = FALSE, positive = FALSE,
  tol = sqrt(.Machine$double.eps), info = NULL, label = vname(x))

Arguments

[any] Object to check.

na.ok

[logical(1)] Are missing values allowed? Default is FALSE.

positive

[logical(1)] Must x be positive (>= 1)? Default is FALSE, allowing 0.

tol

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

.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.

Value

Depending on the function prefix: If the check is successful, the functions return TRUE. If the check is not successful, assertCount/assert_count throws an error message, testCount/test_count returns FALSE, and checkCount returns a string with the error message. The function expect_count always returns an expectation.

Details

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

Examples

Run this code

testCount(1)
testCount(-1)

Run the code above in your browser using DataLab