# Atkinson

0th

Percentile

##### Calculate the Atkinson Index

The Atkinson index is an inequality measure and is useful in determining which end of the distribution contributed most to the observed inequality.

Keywords
univar
##### Usage
Atkinson(x, n = rep(1, length(x)), parameter = 0.5, na.rm = FALSE)
##### Arguments
x
a vector containing at least non-negative elements.
n
a vector of frequencies, must be same length as x.
parameter
parameter of the inequality measure (if set to NULL the default parameter of the respective measure is used).
na.rm
logical. Should missing values be removed? Defaults to FALSE.

##### Value

the value of the Akinson Index.

##### Note

This function was previously published as ineq() in the ineq package and has been integrated here without logical changes, but with some extensions for NA-handling and the use of weights.

##### References

Cowell, F. A. (2000) Measurement of Inequality in Atkinson, A. B. / Bourguignon, F. (Eds): Handbook of Income Distribution. Amsterdam.

Cowell, F. A. (1995) Measuring Inequality Harvester Wheatshef: Prentice Hall.

Marshall, Olkin (1979) Inequalities: Theory of Majorization and Its Applications. New York: Academic Press.

See Herfindahl, Rosenbluth for concentration measures and ineq() in the package ineq for additional inequality measures

• Atkinson
##### Examples
# generate vector (of incomes)
x <- c(541, 1463, 2445, 3438, 4437, 5401, 6392, 8304, 11904, 22261)

# compute Atkinson coefficient with parameter=0.5
Atkinson(x, parameter=0.5)

Documentation reproduced from package DescTools, version 0.99.19, License: GPL (>= 2)

### Community examples

Looks like there are no examples yet.