[R] how to generate a random data from a empirical distribition

[Greg Snow]

Another option for fitting a smooth distribution to data (and generating future observations from the smooth distribution) is to use the logspline package.

-- 
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 xin wei
> Sent: Monday, July 26, 2010 12:36 PM
> To: r-help at r-project.org
> Subject: [R] how to generate a random data from a empirical
> distribition
> 
> 
> hi, this is more a statistical question than a R question. but I do
> want to
> know how to implement this in R.
> I have 10,000 data points. Is there any way to generate a empirical
> probablity distribution from it (the problem is that I do not know what
> exactly this distribution follows, normal, beta?). My ultimate goal is
> to
> generate addition 20,000 data point from this empirical distribution
> created
> from the existing 10,000 data points.
> thank you all in advance.
> 
> 
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> tp2302716p2302716.html
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