weighted.entropy: Measures of the Generalised Entropy Family

In acid: Analysing Conditional Income Distributions

Description

This function computes the Measures of the Generalised Entropy Family for a vector of observations with corresponding weights.

Usage

weighted.entropy(x, w = NULL, alpha = 1)

Arguments

x	a vector of observations.
w	a vector of weights.
alpha	the parameter for the generalised entropy family of measures, denoted by alpha by Cowell (2000). Note that this parameter notation differs from the notation used in the ineq package.

Value

returns the entropy measure.

Author(s)

Alexander Sohn

References

Cowell, F.A. (2000): Measurement of Inequality, in: Atkinson and Bourguignon (eds.), Handbook of Income Distribution, pp. 1-86, Elsevier, Amsterdam.

See Also

ineq

Examples

# generate vector (of incomes)
x <- c(541, 1463, 2445, 3438, 4437, 5401, 6392, 8304, 11904, 22261)
w <- sample(1:2,length(x),replace=TRUE)
weighted.entropy(x,w)

Example output

Loading required package: gamlss
Loading required package: splines
Loading required package: gamlss.data
Loading required package: gamlss.dist
Loading required package: MASS
Loading required package: nlme
Loading required package: parallel
 **********   GAMLSS Version 5.0-2  ********** 
For more on GAMLSS look at http://www.gamlss.org/
Type gamlssNews() to see new features/changes/bug fixes.

Loading required package: Hmisc
Loading required package: lattice
Loading required package: survival
Loading required package: Formula
Loading required package: ggplot2

Attaching package: 'Hmisc'

The following objects are masked from 'package:base':

    format.pval, round.POSIXt, trunc.POSIXt, units

[1] 0.3048664

acid documentation built on May 1, 2019, 10:14 p.m.