Just to be correct : gam is mentioned on the page Tal linked to, but
is a semi-parametric approach using maximum likelihood. It stays valid
though.
Another thing : you detect non-normality. But can you use a Poisson
distribution for example? The framework of generalized linear models
and generaliz
On Jul 9, 2010, at 4:01 AM, Ralf B wrote:
I have two data sets, each a vector of 1000 numbers, each vector
representing a distribution (i.e. 1000 numbers each of which
representing a frequency at one point on a scale between 1 and 1000).
For similfication, here an short version with only 5 poin
>From reviewing the first google page result for "Non-parametric regression
R", I hope this link will prove useful:
http://socserv.mcmaster.ca/jfox/Courses/Oxford-2005/R-nonparametric-regression.html
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