theta: Rank Depcompostion index

In amvallone/estdaR: Exploratory Spatio-Temporal Data Analysis in R

Rank Depcompostion index

Description

Compute the Regime mobility measure Rey (2004)

Usage

theta(x, Regime, nsim = NULL)

Arguments

x	a nxk matrix with l \geq 2 successive columns of a variable are later moments in time
Regime	values corresponding to which regime each observation belongs to
nsim	number of random spatial permutations to generate for computationally based inference

Details

For sequence of time periods Theta measures the extent to which rank changes for a variable measured over n locations are in the same direction within mutually exclusive and exhaustive partitions (regimes) of the n locations.

Value

A data frame

References

Rey, S.J. (2004) “Spatial dependence in the evolution of regional income distributions,” in A. Getis, J. Mur and H.Zoeller (eds). Spatial Econometrics and Spatial Statistics. Palgrave, London, pp. 194-213.

Examples

data(mexico)
theta(mexico[,1:7],mexico[,8],999)

amvallone/estdaR documentation built on March 30, 2024, 9:38 p.m.