The outer product of the arrays `X`

and `Y`

is the array
`A`

with dimension `c(dim(X), dim(Y))`

where element
```
A[c(arrayindex.x, arrayindex.y)]
= FUN(X[arrayindex.x], Y[arrayindex.y], …)
```

.

```
outer(X, Y, FUN = "*", …)
X %o% Y
```

X, Y

First and second arguments for function `FUN`

.
Typically a vector or array.

FUN

a function to use on the outer products, found *via*
`match.fun`

(except for the special case `"*"`

).

…

optional arguments to be passed to `FUN`

.

`X`

and `Y`

must be suitable arguments for `FUN`

. Each
will be extended by `rep`

to length the products of the
lengths of `X`

and `Y`

before `FUN`

is called.

`FUN`

is called with these two extended vectors as arguments
(plus any arguments in `…`

). It must be a vectorized
function (or the name of one) expecting at least two arguments and
returning a value with the same length as the first (and the second).

Where they exist, the [dim]names of `X`

and `Y`

will be
copied to the answer, and a dimension assigned which is the
concatenation of the dimensions of `X`

and `Y`

(or lengths
if dimensions do not exist).

`FUN = "*"`

is handled as a special case *via*
`as.vector(X) %*% t(as.vector(Y))`

, and is intended only for
numeric vectors and arrays.

`%o%`

is binary operator providing a wrapper for
`outer(x, y, "*")`

.

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

`%*%`

for usual (*inner*) matrix vector
multiplication;
`kronecker`

which is based on `outer`

;
`Vectorize`

for vectorizing a non-vectorized function.

# NOT RUN { x <- 1:9; names(x) <- x # Multiplication & Power Tables x %o% x y <- 2:8; names(y) <- paste(y,":", sep = "") outer(y, x, "^") outer(month.abb, 1999:2003, FUN = "paste") ## three way multiplication table: x %o% x %o% y[1:3] # }

Run the code above in your browser using DataCamp Workspace