combn {utils} | R Documentation

## Generate All Combinations of n Elements, Taken m at a Time

### Description

Generate all combinations of the elements of `x` taken `m` at a time. If `x` is a positive integer, returns all combinations of the elements of `seq(x)` taken `m` at a time. If argument `FUN` is not `NULL`, applies a function given by the argument to each point. If simplify is FALSE, returns a list; otherwise returns an `array`, typically a `matrix`. `...` are passed unchanged to the `FUN` function, if specified.

### Usage

    combn(x, m, FUN = NULL, simplify = TRUE, ...)

### Arguments

`x` | vector source for combinations, or integer `n` for `x <- seq_len(n)`.
`m` | number of elements to choose.
`FUN` | function to be applied to each combination; default `NULL` means the identity, i.e., to return the combination (vector of length `m`).
`simplify` | logical indicating if the result should be simplified to an `array` (typically a `matrix`); if FALSE, the function returns a `list`. Note that when `simplify = TRUE` as by default, the dimension of the result is simply determined from `FUN(1st combination)` (for efficiency reasons). This will badly fail if `FUN(u)` is not of constant length.
`...` | optionally, further arguments to `FUN`.

### Value

a `list` or `array`, see the `simplify` argument above. In the latter case, the identity `dim(combn(n,m)) == c(m, choose(n,m))` holds.

### Author(s)

Scott Chasalow wrote the original in 1994 for S; R package combinat and documentation by Vince Carey stvjc@channing.harvard.edu; small changes by the R core team, notably to return an array in all cases of `simplify = TRUE`, e.g., for `combn(5,5)`.

### References

Nijenhuis, A. and Wilf, H.S. (1978) Combinatorial Algorithms for Computers and Calculators; Academic Press, NY.

### See Also

`choose` for fast computation of the number of combinations. `expand.grid` for creating a data frame from all combinations of factors or vectors.

### Examples

    combn(letters[1:4], 2)
    (m <- combn(10, 5, min))   # minimum value in each combination
    mm <- combn(15, 6, function(x) matrix(x, 2,3))
    stopifnot(round(choose(10,5)) == length(m),
              c(2,3, round(choose(15,6))) == dim(mm))

    ## Different way of encoding points:
    combn(c(1,1,1,1,2,2,2,3,3,4), 3, tabulate, nbins = 4)

    ## Compute support points and (scaled) probabilities for a
    ## Multivariate-Hypergeometric(n = 3, N = c(4,3,2,1)) p.f.:
    # table.mat(t(combn(c(1,1,1,1,2,2,2,3,3,4), 3, tabulate,nbins=4)))

    ## Assuring the identity
    for(n in 1:7)
     for(m in 0:n) stopifnot(is.array(cc <- combn(n, m)),
                             dim(cc) == c(m, choose(n,m)))

[Package utils version 2.15.1 Index]