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Last data update: 2014.03.03

R: Concentration Curve

curveConcent

R Documentation

Concentration Curve

Description

Plots a concentration curve.

Usage

curveConcent(x, y, w = NULL, xlab = NA, ylab = NA, add = FALSE, grid = 0, ...)

Arguments

`x`	Numeric vector with non-negative values.
`y`	Numeric vector used for the ranking of vector `x`.
`w`	Numeric vector of sampling weigths (optional).
`xlab`	Title for the x-axis.
`ylab`	Title for the y-axis.
`add`	If `add` is `TRUE`, only the curve is drawn. The device must contain a high-level plot.
`grid`	If `grid` >0, a grid is drawn, with spacing equal to `1/grid`.
`...`	Further arguments to be used for drawing the concentration curve (see `lines`).

References

O'Donnell O., van Doorslaer E., Wagstaff A., Lindelow M. (2008) Analyzing Health Equity Using Household Survey Data. World Bank, 220 p.

Examples

data(hhbudgets)

curveConcent(x=hhbudgets[, "transporte"], y=hhbudgets[,"ingreso"], w=hhbudgets[,"factor"], col="red", xlab="Ranking by income")
curveConcent(x=hhbudgets[, "mantenimiento"], y=hhbudgets[,"ingreso"], w=hhbudgets[,"factor"], col="blue", add=TRUE)
curveConcent(x=hhbudgets[, "publico"], y=hhbudgets[,"ingreso"], w=hhbudgets[,"factor"], col="green", add=TRUE)
title(main="Transport expenditures")
legend("topleft", legend = c("All transport", "Private: Maintenance and repair", "Public transport"), col=c("red", "blue", "green"), lty=rep(1, 3))

Results


R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

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Type 'license()' or 'licence()' for distribution details.

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Type 'contributors()' for more information and
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Type 'demo()' for some demos, 'help()' for on-line help, or
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> library(IC2)
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/IC2/curveConcent.Rd_%03d_medium.png", width=480, height=480)
> ### Name: curveConcent
> ### Title: Concentration Curve
> ### Aliases: curveConcent
> 
> ### ** Examples
> 
> data(hhbudgets)
> 
> curveConcent(x=hhbudgets[, "transporte"], y=hhbudgets[,"ingreso"], w=hhbudgets[,"factor"], col="red", xlab="Ranking by income")
> curveConcent(x=hhbudgets[, "mantenimiento"], y=hhbudgets[,"ingreso"], w=hhbudgets[,"factor"], col="blue", add=TRUE)
> curveConcent(x=hhbudgets[, "publico"], y=hhbudgets[,"ingreso"], w=hhbudgets[,"factor"], col="green", add=TRUE)
> title(main="Transport expenditures")
> legend("topleft", legend = c("All transport", "Private: Maintenance and repair", "Public transport"), col=c("red", "blue", "green"), lty=rep(1, 3))
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>