Titus von der Malsburg wrote:
On Fri, Jan 15, 2010 at 09:19:23AM -0500, David Winsemius wrote:
On Jan 15, 2010, at 5:59 AM, Titus von der Malsburg wrote:
Mean and variance of Poisson distributed data are specified by \rho.
How can I estimate \rho for a set of measurements in R?
rho <- mean(x)
Yeah, thanks :-) I was looking for a general way to fit a
distribution. Should've made that clear. I'm surprised that nobody
is complaining because I called lambda rho!
Why would anyone complain? You're free to call it 'applesauce'
if that suits you.
What do you mean by 'general way to fit a distribution'?
Maximum likelihood might be one way.
-Peter Ehlers
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--
Peter Ehlers
University of Calgary
403.202.3921
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