If you are going to be doing a lot of this then you might want to
consider using logspline density estimates (logspline package) instead
of kernel density estimates.
On Wed, Jul 11, 2012 at 8:33 AM, firdaus.janoos wrote:
> Hello,
>
> I wanted to know if there is a simple way of getting the invers
id L Carlson
Associate Professor of Anthropology
Texas A&M University
College Station, TX 77840-4352
- Original Message -
From: "firdaus.janoos"
To: r-help@r-project.org
Sent: Wednesday, July 11, 2012 9:33:30 AM
Subject: [R] Computing inverse cdf (quantile function) from
Hello,
I wanted to know if there is a simple way of getting the inverse cdf for a
KDE estimate of a density (using the ks or KernSmooth packages) in R ?
The method I'm using now is to perform a numerical integration of the pdf
to get the cdf and then doing a search for the desired probablity valu
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