Classifies Data According to Unique Observations

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

Usage

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

partconv

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