R: Classifies Data According to Unique Observations

partuniq {mclust} | R Documentation

## Classifies Data According to Unique Observations

### Description

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

    ans <- partuniq(mat)
    ans

    partconv(ans,consec=TRUE)

[Package mclust version 5.3 Index]