Hi, I have count data that have been meddled with enough to make them non integers. Using glm(poisson) returns a "non integer" error but glm(quasipoisson) does not. Just wondering if anyone knows if I am violating the assumptions of a quasipoisson error structure by using these non-integer response data? Thanks! I'd welcome your thoughts and/or references... Mark
On Thu, 17 Apr 2008, Mark wrote:> Hi, > > I have count data that have been meddled with enough to make them non > integers. Using glm(poisson) returns a "non integer" error but > glm(quasipoisson) does not. Just wondering if anyone knows if I am > violating the assumptions of a quasipoisson error structure by using > these non-integer response data?No, it just assumes variance \propto mean.> Thanks! I'd welcome your thoughts and/or references...The help page gives the references .... -- Brian D. Ripley, ripley at stats.ox.ac.uk Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ University of Oxford, Tel: +44 1865 272861 (self) 1 South Parks Road, +44 1865 272866 (PA) Oxford OX1 3TG, UK Fax: +44 1865 272595
Hi, I realise this was a few years ago, but any chance you could pass on the help page that give references for this? I have the same issue with my own data at present (noninteger count data). Many thanks, Anne Oxbrough -- View this message in context: http://r.789695.n4.nabble.com/glm-quasipoisson-with-non-integer-response-tp854851p3007872.html Sent from the R help mailing list archive at Nabble.com.
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