R: Rank a vector based on clusters

rank_values_with_clusters {dendextend} | R Documentation

## Rank a vector based on clusters

### Description

Rank a vector based on clusters

### Usage

    rank_values_with_clusters(x, ignore0 = FALSE, ...)

### Arguments

`x` | numeric vector
`ignore0` | logical (FALSE). If TRUE, will ignore the 0's in the vector
`...` | not used

### Value

an integer vector with the number of unique values as the number of uniques in the original vector. And the values are ranked from 1 (in the beginning of the vector) to the number of unique clusters.

### Examples

    rank_values_with_clusters(c(1,2,3))
    rank_values_with_clusters(c(1,1,3))
    rank_values_with_clusters(c(0.1,0.1,3000))
    rank_values_with_clusters(c(3,1,2))
    rank_values_with_clusters(c(1,3,3,3,3,3,3,4,2,2))

    rank_values_with_clusters(c(3,1,2), ignore0 = TRUE)
    rank_values_with_clusters(c(3,1,2), ignore0 = FALSE)
    rank_values_with_clusters(c(3,1,0,2), ignore0 = TRUE)
    rank_values_with_clusters(c(3,1,0,2), ignore0 = FALSE)

[Package dendextend version 1.8.0 Index]