WAM: WAM computation

wowa.WAMR Documentation

WAM computation

Description

Function for calculating the Weighted Arithmetic Mean

Usage

  wowa.WAM(n, x, w)

Arguments

n

Dimension of the array x

x

The vector of inputs

w

The vector of weights

Value

output

The value of the WAM function

Author(s)

Gleb Beliakov, Daniela L. Calderon, Deakin University

References

[1]G. Beliakov, H. Bustince, and T. Calvo. A Practical Guide to Averaging Functions. Springer, Berlin, Heidelberg, 2016.

Examples

  n <- 4
  wowa.WAM(n, c(0.3,0.4,0.8,0.2), c(0.3,0.25,0.3,0.15) )

wowa documentation built on May 24, 2022, 5:05 p.m.

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