How to avoid warning when introducing NAs by coercion

I generally prefer to code R so that I don't get warnings, but I don't know how to avoid getting a warning when using as.numeric to convert a character vector.

For example:

x <- as.numeric(c("1", "2", "X"))

Will give me a warning because it introduced NAs by coercion. I want NAs introduced by coercion - is there a way to tell it "yes this is what I want to do". Or should I just live with the warning?

Or should I be using a different function for this task?

Solution 1:

Use suppressWarnings():

suppressWarnings(as.numeric(c("1", "2", "X")))
[1]  1  2 NA

This suppresses warnings.

Solution 2:

suppressWarnings() has already been mentioned. An alternative is to manually convert the problematic characters to NA first. For your particular problem, taRifx::destring does just that. This way if you get some other, unexpected warning out of your function, it won't be suppressed.

> library(taRifx)
> x <- as.numeric(c("1", "2", "X"))
Warning message:
NAs introduced by coercion 
> y <- destring(c("1", "2", "X"))
> y
[1]  1  2 NA
> x
[1]  1  2 NA

Solution 3:

In general suppressing warnings is not the best solution as you may want to be warned when some unexpected input will be provided.
Solution below is wrapper for maintaining just NA during data type conversion. Doesn't require any package.

    as.num = function(x, na.strings = "NA") {
        stopifnot(is.character(x))
        na = x %in% na.strings
        x[na] = "0"
        x = as.numeric(x)
        x[na] = NA_real_
        x
    }
    as.num(c("1", "2", "X"), na.strings="X")
    #[1]  1  2 NA

Solution 4:

I have slightly modified the jangorecki function for the case where we may have a variety of values that cannot be converted to a number. In my function, a template search is performed and if the template is not found, FALSE is returned.! before gperl, it means that we need those vector elements that do not match the template. The rest is similar to the as.num function. Example:

as.num.pattern <- function(x, pattern){
  stopifnot(is.character(x))
  na = !grepl(pattern, x)
  x[na] = -Inf
  x = as.numeric(x)
  x[na] = NA_real_
  x
}

as.num.pattern(c('1', '2', '3.43', 'char1', 'test2', 'other3', '23/40', '23, 54 cm.'))

[1] 1.00 2.00 3.43   NA   NA   NA   NA   NA