numeric {base}R Documentation

Numeric Vectors


Creates or coerces objects of type "numeric". is.numeric is a more general test of an object being interpretable as numbers.


numeric(length = 0)
as.numeric(x, ...)



A non-negative integer specifying the desired length. Double values will be coerced to integer: supplying an argument of length other than one is an error.


object to be coerced or tested.


further arguments passed to or from other methods.


numeric is identical to double (and real). It creates a double-precision vector of the specified length with each element equal to 0.

as.numeric is a generic function, but S3 methods must be written for as.double. It is identical to as.double (and as.real).

is.numeric is an internal generic primitive function: you can write methods to handle specific classes of objects, see InternalMethods. It is not the same as is.double. Factors are handled by the default method, and there are methods for classes "Date", "POSIXt" and "difftime" (all of which return false). Methods for is.numeric should only return true if the base type of the class is double or integer and values can reasonably be regarded as numeric (e.g. arithmetic on them makes sense, and comparison should be done via the base type).


for numeric and as.numeric see double.

The default method for is.numeric returns TRUE if its argument is of mode "numeric" (type "double" or type "integer") and not a factor, and FALSE otherwise. That is, is.integer(x) || is.double(x), or (mode(x) == "numeric") && !is.factor(x).

S4 methods

as.numeric and is.numeric are internally S4 generic and so methods can be set for them via setMethod.

To ensure that as.numeric, as.double and as.real remain identical, S4 methods can only be set for as.numeric.

Note on names

It is a historical anomaly that R has three names for its floating-point vectors, double, numeric and real.

double is the name of the type. numeric is the name of the mode and also of the implicit class. As an S4 formal class, use "numeric".

real is deprecated and should not be used in new code.

The potential confusion is that R has used mode "numeric" to mean ‘double or integer’, which conflicts with the S4 usage. Thus is.numeric tests the mode, not the class, but as.numeric (which is identical to as.double) coerces to the class.


Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988) The New S Language. Wadsworth & Brooks/Cole.

See Also

double, integer, storage.mode.


as.numeric(c("-.1"," 2.7 ","B")) # (-0.1, 2.7, NA)  +  warning

[Package base version 2.15.3 Index]