If you know the number of counts (n) used to calculate the average then you can still use a poisson distribution.
Total = average * n glm(total ~ offset(n), family = poisson) ir. Thierry Onkelinx Instituut voor natuur- en bosonderzoek / Research Institute for Nature and Forest team Biometrie & Kwaliteitszorg / team Biometrics & Quality Assurance Kliniekstraat 25 1070 Anderlecht Belgium To call in the statistician after the experiment is done may be no more than asking him to perform a post-mortem examination: he may be able to say what the experiment died of. ~ Sir Ronald Aylmer Fisher The plural of anecdote is not data. ~ Roger Brinner The combination of some data and an aching desire for an answer does not ensure that a reasonable answer can be extracted from a given body of data. ~ John Tukey Op 22 jul. 2015 08:38 schreef "Don McKenzie" <d...@u.washington.edu>: > Or if there are enough averages of enough counts, the CLT provides another > option. > > > On Jul 21, 2015, at 8:38 PM, David Winsemius <dwinsem...@comcast.net> > wrote: > > > > > > On Jul 21, 2015, at 8:21 PM, Wensui Liu wrote: > > > >> Dear Lister > >> When the count outcomes are integers, we could use either Poisson or > >> NB regression to model them. However, there are cases that the count > >> outcomes are non-integers, e.g. average counts. > >> I am wondering if it still makes sense to use Poisson or NB regression > >> to model these non-integer outcomes. > > > > There is a quasi-binomial error model that accepts non-integer outcomes. > > > > -- > > > > David Winsemius > > Alameda, CA, USA > > > > ______________________________________________ > > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > > https://stat.ethz.ch/mailman/listinfo/r-help > > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > > and provide commented, minimal, self-contained, reproducible code. > > > > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
