Reputation: 8049
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?
Upvotes: 148
Views: 280301
Reputation: 4930
This could be a job for regex, but depends a lot on the types of non-numeric values. You have to be careful not to delete -
for negative or .
for decimal, and it gets worse when you consider scientific notation. In my case, I'm often dealing with character and numeric such as QPCR = c('0.012', '0.001', 'BLLOD')
. So I can do:
QPCRN = as.numeric(gsub('[a-zA-Z]', '', QPCR))
the trick is that as.numeric('')
goes to NA
without a warning.
I quite prefer this to "SuppressWarnings" because the useR is forced to at least understand the types of other character values.
Upvotes: 2
Reputation: 2570
One way to silence only particular warnings is to use the approach at Suppress warning based on their position in warning list or based on a regular expression in R
EDIT: Note that this approach is not robust to locale changes/translations (thanks to Ben Bolker for pointing this out).
Here's a full example for the specific OP's case:
with_warning_handler <- function(reg, ...)
{
withCallingHandlers(..., warning = function(w)
{
condition <- conditionMessage(w)
if(grepl(reg, condition)) invokeRestart("muffleWarning")
})
}
with_warning_handler("NAs introduced by coercion",
x <- as.numeric(c("1", "2", "X"))
)
Upvotes: 0
Reputation: 16697
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
Upvotes: 42
Reputation: 23
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
Upvotes: 1
Reputation: 72731
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
Upvotes: 39
Reputation: 179418
Use suppressWarnings()
:
suppressWarnings(as.numeric(c("1", "2", "X")))
[1] 1 2 NA
This suppresses warnings.
Upvotes: 165