Some numeric checks: Check a Vector For Being Numeric, Zero Or a Whole Number

Description

Test if x contains only integer numbers, or if is numeric or if it is zero.

Usage

IsWhole(x, tol = .Machine$double.eps^0.5, na.rm = FALSE)
IsZero(x, tol = .Machine$double.eps^0.5, na.rm = FALSE) 
IsNumeric(x, length.arg = Inf, integer.valued = FALSE, positive = FALSE, na.rm = FALSE)

Arguments

a (non-empty) numeric vector of data values.

tol

tolerance to be used

length.arg

integer, the length of the vector to be checked for.

integer.valued

logical, should x be checked as integer?

positive

logical, is x supposed to be positive?

na.rm

logical, indicating whether NA values should be stripped before the computation proceeds. Defaults to FALSE.

Value

logical vector of the same dimension as x.

Details

IsWhole is the suggested solution for checking for an integer value, as is.integer tests for class(x) == "integer" and does NOT test whether x (which might be of class "numeric") contains only integer numbers. (Why not simply implement it in base?) IsZero tests float numeric values for being zero. IsNumeric combines a test for numeric and integers.

Examples

Run this code

(x <- seq(1,5, by=0.5))
IsWhole( x ) #-->  TRUE FALSE TRUE ...


# ... These are people who live in ignorance of the Floating Point Gods. 
# These pagans expect ... (Burns, 2011)" the following to be TRUE:
(.1 - .3 / 3) == 0

# they might be helped by
IsZero(.1 - .3 / 3)

Run the code above in your browser using DataLab

Get 50% off unlimited learning