Gives a one-to-one mapping from unique observations to rows of a data matrix.

partuniq(x)

Arguments

x

Matrix of observations.

Value

A vector of length nrow(x) with integer entries. An observation k is assigned an integer i whenever observation i is the first row of x that is identical to observation k (note that i <= k).

See also

Examples

set.seed(0) mat <- data.frame(lets = sample(LETTERS[1:2],9,TRUE), nums = sample(1:2,9,TRUE)) mat
#> lets nums #> 1 B 2 #> 2 A 2 #> 3 B 1 #> 4 A 1 #> 5 A 1 #> 6 B 1 #> 7 A 1 #> 8 A 2 #> 9 A 2
ans <- partuniq(mat) ans
#> [1] 1 2 3 4 4 3 4 2 2
partconv(ans,consec=TRUE)
#> [1] 1 2 3 4 4 3 4 2 2