Hello,<br><br>Using R ver 2.15.2, package glmmADMB_0.7.3 in Win7, I've been attempting to run a negative binomial model to determine the effects of season and forest stand types on snowshoe hare pellet densities. Year is a random (nuisance) variable. Each stand type (treatment) has unequal sample sizes that vary by year. The count data are constrained at zero, zero inflated, and range from 0 - 990 (residuals show overdispersion).<br>
<br>Data Structure:<br><br>> str(ps)<br>'data.frame': 387 obs. of 7 variables:<br> $ year : Factor w/ 5 levels "2008","2009",..: 1 1 1 1 1 1 1 1 1 1 ...<br> $ season : Factor w/ 2 levels "Smr","Wtr": 1 1 1 1 1 1 1 1 1 1 ...<br>
$ stand : Factor w/ 39 levels "AF1","AF2","AF3",..: 32 33 25 27 26 34 23 31 24 28 ...<br> $ stndtyp: Factor w/ 3 levels "MT","RG","SEL": 1 1 1 1 1 1 1 1 1 1 ...<br>
$ pellets: int 1 1 2 2 4 5 7 9 12 13 ...<br> $ days : num 114 114 127 127 127 127 122 112 115 112 ...<br> $ ln.days: num 4.74 4.74 4.84 4.84 4.84 ...<br><br>Model:<br>> nb1 <- glmmadmb(pellets ~ season * stndtyp + offset(ln.days) + (1|year), na.omit, data=ps,family="nbinom", link="logit")<br>
<br> Warning in glmmadmb(pellets ~ season * stndtyp + offset(ln.days) + (1 | :<br> NAs removed in constructing fixed-effect model frame: you should probably remove them manually, e.g. with na.omit()<br> Warning in II[, ii] + REmat$codes[[i]] :<br>
longer object length is not a multiple of shorter object length<br> Error in II[, ii] = II[, ii] + REmat$codes[[i]] : <br> number of items to replace is not a multiple of replacement length<br><br>Are there syntax problems? - with the na.omit and random specification. Model problems? - with unequal sample sizes, or wrong specification of the link. Do the algorithms require equal sample sizes?<br>
I'm also confused about how to know what value of theta to specify, and when it is appropriate to specify?<br><br>Thanks all.<br clear="all">-- <br>Sheryn Olson<br>Graduate Research Assistant, The University of Maine<br>
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