# plot.theorLc

0th

Percentile

##### Plot Theoretical Lorenz Curves

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

Keywords
hplot
##### Usage
"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.

##### Aliases
• plot.theorLc
• lines.theorLc
##### 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))
Documentation reproduced from package ineq, version 0.2-13, License: GPL-2 | GPL-3

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