You might want to look at the 'quantreg' package, written by Roger Koenker,
in CRAN. The associated vignette has many examples.
Abuzer Bakis wrote:
>
> Dear All,
>
> I am economist and working on poverty / income inequality. I need
> descriptive
> statitics like the ratio of education expentitures between different
> income
> quintiles where each household has a different weight. After a bit of
> google search I found 'Hmisc' and 'quantreg' libraries for weighted
> quantiles.
>
> The problem is that these packages give me only weighted quintiles; but
> what
> I need is conditional weighted quintiles. The below example illustrates
> what I mean.
>
> x <- data.frame("id"=c(1:5),"income"=c(10,10,20,30,50),
> "education"=c(0,5,5,0,0),"weight"=c(3,2,3,1,1))
> x
> library(Hmisc)
> wtd.quantile(x$income,weights=x$weight)
> wtd.quantile(x$education,weights=x$weight)
>
> I would like to see the expenditure of each quintile conditional on
> income, i.e.
> the education expenditures of the 5th quintile equal to zero.
>
> Thanks in advance,
> --
> ozan bakis
> --__--__--
>
> ______________________________________________
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>
>
-----
David Freedman
Atlanta
--
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