GiniSimpson: Gini-Simpson Index

In SciencesPo: A Tool Set for Analyzing Political Behavior Data

Description

Computes the Gini/Simpson coefficient. NAs from the data are omitted.

Usage

GiniSimpson(x, na.rm = TRUE, ...)

## Default S3 method:
GiniSimpson(x, na.rm = TRUE, ...)

Arguments

x	a data.frame, a matrix-like, or a vector.
na.rm	a logical value to deal with NAs.
...	additional arguements (currently ignored).

Details

The Gini-Simpson quadratic index is a classic measure of diversity, widely used by social scientists and ecologists. The Gini-Simpson is also known as Gibbs-Martin index in sociology, psychology and management studies, which in turn is also known as the Blau index. The Gini-Simpson index is computed as 1 - λ = 1 - ∑_{i=1}^R p_i^2 = 1 - 1/{}^2D.

Author(s)

Daniel Marcelino, [e-mail].

See Also

Gini.

Examples

# generate a vector (of incomes)
x <- as.table(c(69,50,40,22))
# let's say AB coalesced
rownames(x) <- c("AB","C","D","E")
print(x)

GiniSimpson(x)

SciencesPo documentation built on May 29, 2017, 9:28 p.m.