checkInt(x, na.ok = FALSE, lower = -Inf, upper = Inf,
tol = sqrt(.Machine$double.eps))assertInt(x, na.ok = FALSE, lower = -Inf, upper = Inf,
tol = sqrt(.Machine$double.eps), .var.name)
testInt(x, na.ok = FALSE, lower = -Inf, upper = Inf,
tol = sqrt(.Machine$double.eps))
expect_int(x, na.ok = FALSE, lower = -Inf, upper = Inf,
tol = sqrt(.Machine$double.eps), info = NULL, label = NULL)
logical(1)]
Are missing values allowed? Default is FALSE.numeric(1)]
Lower value all elements of x must be greater than.numeric(1)]
Upper value all elements of x must be lower than.double(1)]
Numerical tolerance used to check whether a double or complex can be converted.
Default is sqrt(.Machine$double.eps).x. Defaults to a heuristic to determine
the name using deparse and substitute.expect_that..var.name, but passed down to expect_that.TRUE.
If the check is not successful, assertInt throws an error message,
testInt returns FALSE, checkInt returns
a string with the error message. The function expect_int will
return an expectation.NA, NA_integer_, NA_real_, NA_complex_
NA_character_ and NaN.assertCount,
checkCount, expect_count,
testCount; assertFlag,
checkFlag, expect_flag,
testFlag; assertNumber,
checkNumber, expect_number,
testNumber; assertPercentage,
checkPercentage,
expect_percentage,
testPercentage;
assertScalarNA,
checkScalarNA,
expect_scalar_na,
testScalarNA; assertScalar,
checkScalar, expect_scalar,
testScalar; assertString,
checkString, expect_string,
testStringtestInt(1)
testInt(-1, lower = 0)Run the code above in your browser using DataLab