![]() I have tried also using poly(hour,2) to define the global model but this results in only including a single term for hour. ![]() The output includes models that include I(hour^2) without hour Model selection table ![]() Here is the code I am using to make the global model, which includes hour: at both first and second order sc.<-clmm(seedcat~hour+I(hour^2)+MeanSpeed+RH+TKE+AirTemp+MeanUpdraft+(1|jdayfac), data=sc.data, na.action = na.fail, Hess =TRUE) I was under the impression (, see "Interactions") that MuMin as standard ditches models that include the higher order term without its respective lower order term however when I use it the top model includes only the higher order term. I know in 2016 that this was an issue with integer bit restrictions.I am using the function dredge from package MuMin for model selection. #Non-working model (31 or more predictors) Sub.dredge <- pdredge(mod, cluster=clust, eval=FALSE) #Random data: X1 as response, X2-X32 (31) predictors #Random data: X1 as response, X2-X31 (30) predictors Running under: Windows >= 8 圆4 (build 9200) I'm on a windows machine running Microsoft R Open through RStudio: R version 3.5.3 () ![]() Invalid format '%d' use format %f, %e, %g or %a for numeric objects I've run into the following error that only occurs when I pass a model with more than 30 predictors to pdredge():Įrror in sprintf(gettext(fmt, domain = domain). ![]()
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