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cdf function: inverse to quantile?
5 messages · DED (David George Edwards), Stéphane Dray, PIKAL Petr +2 more
Is there a function in R for calculating empirical cumulative distribution functions, i.e. the inverse of the quantile function? Perhaps in some library? I'd hate to have to re-invent the wheel.
see ecdf in the stepfun package
St?phane DRAY
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Biom?trie et Biologie ?volutive - Equipe "?cologie Statistique"
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Hi
On 3 Apr 2003 at 13:20, DED (David George Edwards) wrote:
Is there a function in R for calculating empirical cumulative distribution functions, i.e. the inverse of the quantile function? Perhaps in some library? I'd hate to have to re-invent the wheel.
try tu use search provided with the installation in my case D:\programy\R\rw1061\doc\html\search\SearchEngine.html result ecdf in Hmisc and stepfun libraries. Cheers
David Edwards, Biostatistics, Novo Nordisk A/S, Bagsv?rd, Denmark. DEd at novonordisk.com <mailto:DEd at novonordisk.com> Tlf: +45 44 42 62 35. Fax: +45 44 42 14 80 [[alternate HTML version deleted]]
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Petr Pikal petr.pikal at precheza.cz p.pik at volny.cz
library(stepfun) help(ecdf) ... although there's not a great deal involved in re-inventing it. - tom blackwell - u michigan medical school - ann arbor -
On Thu, 3 Apr 2003, DED (David George Edwards) wrote:
Is there a function in R for calculating empirical cumulative distribution functions, i.e. the inverse of the quantile function? Perhaps in some library? I'd hate to have to re-invent the wheel. David Edwards, Biostatistics, Novo Nordisk A/S, Bagsværd, Denmark. DEd at novonordisk.com <mailto:DEd at novonordisk.com> Tlf: +45 44 42 62 35. Fax: +45 44 42 14 80
"Ded" == Ded (David George Edwards) <ded at novonordisk.com>
on Thu, 3 Apr 2003 13:20:25 +0200 writes:
Ded> Is there a function in R for calculating empirical
Ded> cumulative distribution functions, i.e. the inverse of
Ded> the quantile function? Perhaps in some library?
Yes: in the `stepfun' package
(and already re-invented in other places)
(( "package" {in R; and "library section" in other S implementations}))
Ded> I'd hate to have to re-invent the wheel.
good idea ;-)
Martin Maechler <maechler at stat.math.ethz.ch> http://stat.ethz.ch/~maechler/
Seminar fuer Statistik, ETH-Zentrum LEO C16 Leonhardstr. 27
ETH (Federal Inst. Technology) 8092 Zurich SWITZERLAND
phone: x-41-1-632-3408 fax: ...-1228 <><