# Arithmetic {base}

### Description

These unary and binary operators perform arithmetic on numeric or complex vectors (or objects which can be coerced to them).

### Usage

+ x - x x + y x - y x * y x / y x ^ y x %% y x %/% y

### Arguments

- x, y
- numeric or complex vectors or objects which can be coerced to such, or other objects for which methods have been written.

### Details

The unary and binary arithmetic operators are generic functions: methods can be written for them individually or via the `Ops`

group generic function. (See `Ops`

for how dispatch is computed.)

If applied to arrays the result will be an array if this is sensible (for example it will not if the recycling rule has been invoked).

Logical vectors will be coerced to integer or numeric vectors, `FALSE`

having value zero and `TRUE`

having value one.

`1 ^ y`

and `y ^ 0`

are `1`

, *always*. `x ^ y`

should also give the proper limit result when either argument is infinite (i.e., `+- Inf`

).

Objects such as arrays or time-series can be operated on this way provided they are conformable.

For double arguments, `%%`

can be subject to catastrophic loss of accuracy if `x`

is much larger than `y`

, and a warning is given if this is detected.

`%%`

and `x %/% y`

can be used for non-integer `y`

, e.g. `1 %/% 0.2`

, but the results are subject to representation error and so may be platform-dependent. Because the IEC 60059 representation of `0.2`

is a binary fraction slightly larger than `0.2`

, the answer to `1 %/% 0.2`

should be `4`

but most platforms give `5`

.

Users are sometimes surprised by the value returned, for example why `(-8)^(1/3)`

is `NaN`

. For double inputs, R makes use of IEC 60559 arithmetic on all platforms, together with the C system function pow for the `^`

operator. The relevant standards define the result in many corner cases. In particular, the result in the example above is mandated by the C99 standard. On many Unix-alike systems the command `man pow`

gives details of the values in a large number of corner cases.

Arithmetic on type double in R is supposed to be done in ‘round to nearest, ties to even’ mode, but this does depend on the compiler and FPU being set up correctly.

### Values

Unary `+`

returns `x`

unchanged (without coercing logical vectors).

Unary `-`

returns a numeric or complex vector with the same attributes as `x`

: logical `x`

are coerced to integer. The binary operators return vectors containing the result of the element by element operations. The elements of shorter vectors are recycled as necessary (with a `warning`

when they are recycled only *fractionally*). The operators are `+`

for addition, `-`

for subtraction, `*`

for multiplication, `/`

for division and `^`

for exponentiation.

`%%`

indicates `x mod y`

and `%/%`

indicates integer division. It is guaranteed that `x == (x %% y) + y * ( x %/% y )`

(up to rounding error) unless `y == 0`

where the result of `%%`

is `NA_integer_`

or `NaN`

(depending on the `typeof`

of the arguments).

If either argument is complex the result will be complex, otherwise if one or both arguments are numeric, the result will be numeric. If both arguments are of type integer, the type of the result of `/`

and `^`

is numeric and for the other operators it is integer (with overflow, which occurs at +/- (2^31 - 1), returned as `NA_integer_`

with a warning).

The rules for determining the attributes of the result are rather complicated. Most attributes are taken from the longer argument. Names will be copied from the first if it is the same length as the answer, otherwise from the second if that is. If the arguments are the same length, attributes will be copied from both, with those of the first argument taking precedence when the same attribute is present in both arguments. For time series, these operations are allowed only if the series are compatible, when the class and `tsp`

attribute of whichever is a time series (the same, if both are) are used. For arrays (and an array result) the dimensions and dimnames are taken from first argument if it is an array, otherwise the second.

### S4 methods

These operators are members of the S4 `Arith`

group generic, and so methods can be written for them individually as well as for the group generic (or the `Ops`

group generic), with arguments `c(e1, e2)`

(with `e2`

missing for a unary operator).

### Implementation limits

R is dependent on OS services (and they on FPUs) for floating-point arithmetic. On all current R platforms IEC 60559 (also known as IEEE 754) arithmetic is used, but some things in those standards are optional. In particular, the support for *denormal numbers* (those outside the range given by `.Machine`

) may differ between platforms and even between calculations on a single platform.

Another potential issue is signed zeroes: on IEC 60659 platforms there are two zeroes with internal representations differing by sign. Where possible R treats them as the same, but for example direct output from C code often does not do so and may output -0.0 (and on Windows whether it does so or not depends on the version of Windows). One place in R where the difference might be seen is in division by zero: `1/x`

is `Inf`

or `-Inf`

depending on the sign of zero `x`

.

### References

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

D. Goldberg (1991) *What Every Computer Scientist Should Know about Floating-Point Arithmetic* ACM Computing Surveys, **23(1)**.

Postscript version available at http://www.validlab.com/goldberg/paper.ps Extended PDF version at http://www.validlab.com/goldberg/paper.pdf

### Note

`**`

is translated in the parser to `^`

, but this was undocumented for many years. It appears as an index entry in Becker *et al* (1988), pointing to the help for `Deprecated`

but is not actually mentioned on that page. Even though it had been deprecated in S for 20 years, it was still accepted in R in 2008.

### See Also

`sqrt`

for miscellaneous and `Special`

for special mathematical functions.

`Syntax`

for operator precedence.

`%*%`

for matrix multiplication.

### Examples

x <- -1:12 x + 1 2 * x + 3 x %% 2 #-- is periodic x %/% 5

Documentation reproduced from R 3.0.2. License: GPL-2.