weighted_kulczynski_second {abdiv} | R Documentation |

## Weighted Kulczynski distance

### Description

The quantitative version of the second Kulczynski index

### Usage

weighted_kulczynski_second(x, y)

### Arguments

### Details

The quantitative version of the second Kulczynski index is defined as

*
d(x, y) = 1 - \frac{1}{2} ≤ft (
\frac{∑_i \min{(x_i, y_i)}}{∑_i x_i} +
\frac{∑_i \min{(x_i, y_i)}}{∑_i y_i}
\right ).
*

Relation of `weighted_kulczynski_second()`

to other definitions:

Equivalent to `vegdist()`

with `method = "kulczynski"`

.

Equivalent to `structkulczynski`

in Mothur.

Equivalent to *1 - S_{18}* in Legendre & Legendre.

### Value

The weighted Kulczynski distance between `x`

and `y`

. The
distance is undefined if the sum of `x`

or the sum of `y`

is
zero, in which case we return `NaN`

.

[Package

*abdiv* version 0.2.0

Index]