[R] na.action within glmmADMB package?

Hello everybody, I would like to know if within the glmmADMB package into R interface there is a way to deal with the NAs different than applying "dataformodeling= na.omit(dataframe)". This way as you may know removes all the rows of the data set with at leas 1 NA. I would rather prefer to r

Re: [R] Outliers and overdispersion

ail.com > CC: szehn...@uni-bonn.de; r-help@r-project.org > > The central question is: What caused the 3 unusual values? What is > their scientific relevance? Only you can answer that, not us. > > -- Bert > > On Tue, Aug 13, 2013 at 8:51 AM, Marta Lomas wrote: > >

Re: [R] Outliers and overdispersion

ution with K components could > fit the data better. > > > Best > > Simon > > On Aug 13, 2013, at 5:28 PM, Marta Lomas wrote: > > > > > > > > > Hi again, > > > > I have a question on some outliers that I have in my response

[R] Outliers and overdispersion

Hi again, I have a question on some outliers that I have in my response variable (wich are bird counts). At the beginning I did not drop them out because they are part of the normal counts and I considered them "ecologically" correct. However, I tried some of the same models without ou

[R] errors with hurdle negative binomial mixed effect models

Hello! I am new in the mailing list for R help and I hope to be able to formulate a good question easy to understand. After trying to do many different things to solve an error I do not find the solution. I am modeling my data set with hurdle negative binomial mixed effects, to find the corre