Density estimate with bounds

Datum: Thu, 5 Nov 2009 11:11:31 -0700
Von: Greg Snow <Greg.Snow at imail.org>
An: Justine Rochon <rochon at gmx.de>, "r-help at r-project.org" <r-help at r-project.org>
Betreff: RE: [R] Density estimate with bounds

You may be interested in the logspline package.  It uses a different
method from kernel density estimation, but it estimates densities from data and
allows the specification of lower and/or upper bounds.

Hope this helps,

-- 
Gregory (Greg) L. Snow Ph.D.
Statistical Data Center
Intermountain Healthcare
greg.snow at imail.org
801.408.8111

-----Original Message-----
From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-
project.org] On Behalf Of Justine Rochon
Sent: Thursday, November 05, 2009 2:38 AM
To: r-help at r-project.org
Subject: [R] Density estimate with bounds

Dear R users,

I would like to show the estimated density of a (0, 1) uniformly
distributed random variable. The density curve, however, goes beyond 0
and 1 because of the kernel smoothing.

Example:

x = runif(10000)
plot(density(x))

Is there a way to estimate the density curve strictly within (0, 1) and
still use some sort of smoothing?

Any help would be greatly appreciated.

Best regards,

Justine Rochon

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