R: raw Modified Adjusted Rand Index

MARIraw {aricode} | R Documentation

## raw Modified Adjusted Rand Index

### Description

A function to compute a modified adjusted rand index between two classifications as proposed by Sundqvist et al. in prep, based on a multinomial model. Raw means, that the index is not divided by the (maximum - expected) value.

### Usage

    MARIraw(c1, c2)

### Arguments

`c1` | a vector containing the labels of the first classification. Must be a vector of characters, integers, numerics, or a factor, but not a list.
`c2` | a vector containing the labels of the second classification.

### Value

a scalar with the modified ARI without the division by the (maximum - expected)

### See Also

`ARI`, `NID`, `NVI`, `NMI`, `clustComp`

### Examples

    data(iris)
    cl <- cutree(hclust(dist(iris[,-5])), 4)
    MARIraw(cl,iris$Species)

[Package aricode version 1.0.0 Index]