# plot.Lc: Plot Lorenz Curve In ineq: Measuring Inequality, Concentration, and Poverty

## Description

plotting method for objects of class `"Lc"` (Lorenz curves)

## Usage

 ```1 2 3``` ```## S3 method for class 'Lc' plot(x, general=FALSE, lwd=2, xlab="p", ylab="L(p)", main="Lorenz curve", las=1, ...) ```

## Arguments

 `x` an object of class `"Lc"` `general` logical. If TRUE the generalized Lorenz curve will be plotted `lwd, xlab, ylab, main, las, ...` high-level `plot` function parameters.

## References

B C Arnold: Majorization and the Lorenz Order: A Brief Introduction, 1987, Springer,

F A Cowell: Measurement of Inequality, 2000, in A B Atkinson / F Bourguignon (Eds): Handbook of Income Distribution, Amsterdam,

F A Cowell: Measuring Inequality, 1995 Prentice Hall/Harvester Wheatshef.

`Lc`, `Lc.mehran`, `plot.theorLc`

## Examples

 ``` 1 2 3 4 5 6 7 8 9 10 11 12``` ```## Load and attach income (and metadata) set from Ilocos, Philippines data(Ilocos) attach(Ilocos) ## extract and rescale income for the provinces "Pangasinan" und "La Union" income.p <- income[province=="Pangasinan"]/10000 income.u <- income[province=="La Union"]/10000 ## compute the Lorenz curves Lc.p <- Lc(income.p) Lc.u <- Lc(income.u) ## plot both Lorenz curves plot(Lc.p) lines(Lc.u, col=2) ```

### Example output

```
```

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