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mclust (version 3.4.7)

partuniq: 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<="" code="">).

See Also

partconv

Examples

Run this code
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)

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