d.overall: Combine individual desirabilities

In stanlazic/desiR: Desirability Functions for Ranking, Selecting, and Integrating Data

Description

Combines any number of desirability values into an overall desirability.

Usage

d.overall(..., weights = NULL)

Arguments

...	Any number of individual desirabilities.
weights	Allows some desirabilities to count for more in the overall calculation. Defaults to equal weighting.

Details

This function takes any number of individual desirabilities and combines them with a weighted geometric mean to give an overall desirability. The weights should be chosen to reflect the importance of the variables. The values of the weights do not matter, only their relative differences. Therefore weights of 4, 2, 1 are the same as 1, 0.5, 0.25. In both cases the second weight is half of the first, and the third weight is a quarter of the first.

Value

Numeric vector of desirability values.

Examples

set.seed(1)
x1 <- rnorm(1000, mean=100, sd =5) # generate data
x2 <- rnorm(1000, mean=100, sd =5) 

d1 <- d.high(x1, cut1=90, cut2=110, scale=1)
d2 <- d.low(x2, cut1=90, cut2=110, scale=1)

D <- d.overall(d1, d2, weights=c(1, 0.5))
plot(rev(sort(D)), type="l")

stanlazic/desiR documentation built on April 19, 2021, 11:03 a.m.