• Generate the rank (lexicographically) of combinations/permutations. These functions are the complement to comboSample and permuteSample. See the examples below.

  • GMP support allows for exploration of combinations/permutations of vectors with many elements.

comboRank(..., v, repetition = FALSE, freqs = NULL)
permuteRank(..., v, repetition = FALSE, freqs = NULL)



vectors or matrices to be ranked.


Source vector. If v is a positive integer, it will be converted to the sequence 1:v. If v is a negative integer, it will be converted to the sequence v:-1. All atomic types are supported (See is.atomic).


Logical value indicating whether combinations/permutations should be with or without repetition. The default is FALSE.


A vector of frequencies used for producing all combinations/permutations of a multiset of v. Each element of freqs represents how many times each element of the source vector, v, is repeated. It is analogous to the times argument in rep. The default value is NULL.


These algorithms rely on efficiently ranking the \(n^{th}\) lexicographical combination/permutation.


A vector of class integer, numeric, or bigz determined by the total number of combinations/permutations


Joseph Wood


v must be supplied.


mySamp = comboSample(30, 8, TRUE, n = 5, seed = 10, namedSample = TRUE)
myRank = comboRank(mySamp, v = 30, repetition = TRUE)
all.equal(as.integer(rownames(mySamp)), myRank)
#> [1] TRUE