Contindic: Sensitivity Analysis of Laeken Indicators on GB2 Parameters

In GB2: Generalized Beta Distribution of the Second Kind: Properties, Likelihood, Estimation

Sensitivity Analysis of Laeken Indicators on GB2 Parameters

Description

Produces a contour plot of an indicator for a given shape1.

Usage

contindic.gb2(resol, shape1, shape21, shape22, shape31, shape32, fn, title, table=FALSE)

Arguments

resol	numeric; number of grid points horizontally and vertically.
shape1	numeric; positive parameter, first shape parameter of the GB2 distribution.
shape21, shape22, shape31, shape32	numeric; limits on the positive parameters of the Beta distribution.
fn	string; the name of the function to be used for the calculation of the values to be plotted.
title	string; title of the plot.
table	boolean; if TRUE, a table containing the values of the function fn at the different grid points is printed.

Details

An indicator is defined as a function of three parameters. The shape parameter, shape1, is held fixed. The shape parameters shape2 and shape3 vary between shape21 and shape22, and shape31 and shape32, respectively.

Value

A contour plot of a given indicator for a fixed value of the shape parameter shape1.

Author(s)

Monique Graf

See Also

contour (package graphics) for more details on contour plots.

Examples

par(mfrow=c(2,2))
shape21 <- 0.3
shape31 <- 0.36
shape22 <- 1.5
shape32 <- 1.5
shape11 <- 2.7
shape12 <- 9.2
resol <- 11
rangea <- round(seq(shape11, shape12 ,length.out=4),digits=1)
arpr <- function(shape1, shape2, shape3) 100*arpr.gb2(0.6, shape1, shape2, shape3)
fonc <- "arpr"
for (shape1 in rangea){
contindic.gb2(resol, shape1, shape21, shape22, shape31, shape32, arpr, "At-risk-of-poverty rate", 
table=TRUE)
}

GB2 documentation built on June 22, 2022, 9:07 a.m.