weighted.coeffvar: Coefficient of Variation

In acid: Analysing Conditional Income Distributions

Description

This function computes the Coefficient of Variation for a vector of observations and corresponding weights.

Usage

weighted.coeffvar(x, w)

Arguments

x	a vector of observations.
w	a vector of weights.

Value

cv	returns the coefficient of variation without bias correction.
bccv	returns the coefficient of variation with bias correction.

Warning

Weighting is not properly accounted for in the sample adjustment of bccv!

Author(s)

Alexander Sohn

References

Atkinson, A.B. and Bourguignon, F. (2000): Income Distribution and Economics, 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(1:10,length(x), replace=TRUE)
weighted.coeffvar(x,w)

Example output

Loading required package: gamlss
Loading required package: splines
Loading required package: gamlss.data

Attaching package: 'gamlss.data'

The following object is masked from 'package:datasets':

    sleep

Loading required package: gamlss.dist
Loading required package: MASS
Loading required package: nlme
Loading required package: parallel
 **********   GAMLSS Version 5.1-3  ********** 
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, units

[1] "Warning: weighting is not properly accounted for in the sample adjustment of bccv!!"

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