plot.theorLc: Plot Theoretical Lorenz Curves

In ineq: Measuring Inequality, Concentration, and Poverty

Description

Plotting method for objects of class "theorLc" (theoretical Lorenz curves)

Usage

## S3 method for class 'theorLc'
plot(x, parameter=NULL, xlab="p", ylab="L(p)", lwd=2, las=1, ...)

Arguments

x	an object of class "theorLc"
parameter	vector containing parameters of the distributions. If x was generated by the function theorLc the parameters are already fixed and have to be set to NULL.
xlab, ylab, lwd, las, ...	high-level plot function parameters.

References

C Dagum: Income Distribution Models, 1983, in: Johnson / Kotz (Eds): Encyclopedia of Statistical Sciences Vol.4, 27-34.

J B McDonald: Some generalized functions for the size distribution of income, 1984, Econometrica 52, 647-664.

See Also

Lc, plot.Lc

Examples

# income distribution of the USA in 1968 (in 10 classes)
# x vector of class means, n vector of class frequencies
x <- c(541, 1463, 2445, 3438, 4437, 5401, 6392, 8304, 11904, 22261)
n <- c(482, 825, 722, 690, 661, 760, 745, 2140, 1911, 1024)

# compute minimal Lorenz curve (= no inequality in each group)
Lc.min <- Lc(x, n=n)
# compute maximal Lorenz curve (limits of Mehran)
Lc.max <- Lc.mehran(x,n)
# plot both Lorenz curves in one plot
plot(Lc.min)
lines(Lc.max, col=4)

# add the theoretic Lorenz curve of a Lognormal-distribution with variance 0.78
lines(Lc.lognorm, parameter=0.78)
# add the theoretic Lorenz curve of a Dagum-distribution
lines(Lc.dagum, parameter=c(3.4,2.6))

Example output

ineq documentation built on May 2, 2019, 7:29 a.m.