Is there a function that will allow me to run all model iterations if I specify
a full model? I am using information criteria to choose between possible
candidate models. I have been writing out all possible model combinations by
hand, and I am always worried that I am missing models or have made a mistake
somewhere. It is also difficult to alter models if I want to change a term.
For example, below are the set of models I would like to run. Is there a way
to specify the full model and have R generate the rest? I.e. specify
m1234567<-glm.convert(glm.nb(mantas~site*year+cosmonth+sinmonth+coslunar+sinlunar+plankton,
data=mydata))
and have R run all the other models.
library(MASS)
#Intercept only
m0<-glm.convert(glm.nb(mantas~1,data=mydata))
#One term - 7 models
#Manta abundance is greater at one of the two sites
m1<-glm.convert(glm.nb(mantas~site,data=mydata))
#Manta abundance increases each year as the population increases in size due
to births or immigration being greater than deaths and emmigration
m2<-glm.convert(glm.nb(mantas~year,data=mydata))
#Manta abundances increases during part of the year due to seasonal cycles in
resources (mates, food)
m3<-glm.convert(glm.nb(mantas~cosmonth,data=mydata))
m4<-glm.convert(glm.nb(mantas~sinmonth,data=mydata))
#Manta abundance decreases with increased lunar phase
m5<-glm.convert(glm.nb(mantas~coslunar, data=mydata))
m6<-glm.convert(glm.nb(mantas~sinlunar, data=mydata))
#Manta abundance increases with increased levels of plankton
m7<-glm.convert(glm.nb(mantas~plankton,data=mydata))
#Two terms - 21 models
m12<-glm.convert(glm.nb(mantas~site*year, data=mydata)) #Interaction term
to account for hotel being closed at Keauhou for some years
m13<-glm.convert(glm.nb(mantas~site+cosmonth,data=mydata))
m14<-glm.convert(glm.nb(mantas~site+sinmonth,data=mydata))
m15<-glm.convert(glm.nb(mantas~site+coslunar,data=mydata))
m16<-glm.convert(glm.nb(mantas~site+sinlunar,data=mydata))
m17<-glm.convert(glm.nb(mantas~site+plankton,data=mydata)) #Should this have
an interaction term? Plankton may varry by site
m23<-glm.convert(glm.nb(mantas~year+cosmonth,data=mydata))
m24<-glm.convert(glm.nb(mantas~year+sinmonth,data=mydata))
m25<-glm.convert(glm.nb(mantas~year+coslunar,data=mydata))
m26<-glm.convert(glm.nb(mantas~year+sinlunar,data=mydata))
m27<-glm.convert(glm.nb(mantas~year+plankton,data=mydata))
m34<-glm.convert(glm.nb(mantas~cosmonth+sinmonth,data=mydata))
m35<-glm.convert(glm.nb(mantas~cosmonth+coslunar,data=mydata))
m36<-glm.convert(glm.nb(mantas~cosmonth+sinlunar,data=mydata))
m37<-glm.convert(glm.nb(mantas~cosmonth+plankton,data=mydata)) #Interaction
term? Plankton may vary by season
m45<-glm.convert(glm.nb(mantas~sinmonth+coslunar, data=mydata))
m46<-glm.convert(glm.nb(mantas~sinmonth+sinlunar, data=mydata))
m47<-glm.convert(glm.nb(mantas~sinmonth+plankton, data=mydata)) #Interaction
term? Plankton may vary by season
m56<-glm.convert(glm.nb(mantas~coslunar+sinlunar, data=mydata))
m57<-glm.convert(glm.nb(mantas~coslunar+plankton, data=mydata))
m67<-glm.convert(glm.nb(mantas~sinlunar+plankton, data=mydata)) #Interaction
term? Plankton may have lunar cycles
#Three terms - 35 models
m123<-glm.convert(glm.nb(mantas~site*year+cosmonth, data=mydata))
m124<-glm.convert(glm.nb(mantas~site*year+sinmonth, data=mydata))
m125<-glm.convert(glm.nb(mantas~site*year+coslunar, data=mydata))
m126<-glm.convert(glm.nb(mantas~site*year+sinlunar, data=mydata))
m127<-glm.convert(glm.nb(mantas~site*year+plankton, data=mydata))
m134<-glm.convert(glm.nb(mantas~site+cosmonth+sinmonth,data=mydata))
m135<-glm.convert(glm.nb(mantas~site+cosmonth+coslunar,data=mydata))
m136<-glm.convert(glm.nb(mantas~site+cosmonth+sinlunar,data=mydata))
m137<-glm.convert(glm.nb(mantas~site+cosmonth+plankton,data=mydata))
m145<-glm.convert(glm.nb(mantas~site+sinmonth+coslunar,data=mydata))
m146<-glm.convert(glm.nb(mantas~site+sinmonth+sinlunar,data=mydata))
m147<-glm.convert(glm.nb(mantas~site+sinmonth+plankton,data=mydata))
m156<-glm.convert(glm.nb(mantas~site+coslunar+sinlunar,data=mydata))
m157<-glm.convert(glm.nb(mantas~site+coslunar+plankton,data=mydata))
m167<-glm.convert(glm.nb(mantas~site+sinlunar+plankton,data=mydata))
m234<-glm.convert(glm.nb(mantas~year+cosmonth+sinmonth,data=mydata))
m235<-glm.convert(glm.nb(mantas~year+cosmonth+coslunar,data=mydata))
m236<-glm.convert(glm.nb(mantas~year+cosmonth+sinlunar,data=mydata))
m237<-glm.convert(glm.nb(mantas~year+cosmonth+plankton,data=mydata))
m245<-glm.convert(glm.nb(mantas~year+sinmonth+coslunar,data=mydata))
m246<-glm.convert(glm.nb(mantas~year+sinmonth+sinlunar,data=mydata))
m247<-glm.convert(glm.nb(mantas~year+sinmonth+plankton,data=mydata))
m256<-glm.convert(glm.nb(mantas~year+coslunar+sinlunar,data=mydata))
m257<-glm.convert(glm.nb(mantas~year+coslunar+plankton,data=mydata))
m267<-glm.convert(glm.nb(mantas~year+sinlunar+plankton,data=mydata))
m345<-glm.convert(glm.nb(mantas~cosmonth+sinmonth+coslunar,data=mydata))
m346<-glm.convert(glm.nb(mantas~cosmonth+sinmonth+sinlunar,data=mydata))
m347<-glm.convert(glm.nb(mantas~cosmonth+sinmonth+plankton,data=mydata))
m356<-glm.convert(glm.nb(mantas~cosmonth+coslunar+sinlunar,data=mydata))
m357<-glm.convert(glm.nb(mantas~cosmonth+coslunar+plankton,data=mydata))
m367<-glm.convert(glm.nb(mantas~cosmonth+sinlunar+plankton,data=mydata))
m456<-glm.convert(glm.nb(mantas~sinmonth+coslunar+sinlunar,data=mydata))
m457<-glm.convert(glm.nb(mantas~sinmonth+coslunar+plankton,data=mydata))
m467<-glm.convert(glm.nb(mantas~sinmonth+sinlunar+plankton,data=mydata))
m567<-glm.convert(glm.nb(mantas~coslunar+sinlunar+plankton,data=mydata))
#Four terms - 34 models
m1234<-glm.convert(glm.nb(mantas~site*year+cosmonth+sinmonth, data=mydata))
m1235<-glm.convert(glm.nb(mantas~site*year+cosmonth+coslunar, data=mydata))
m1236<-glm.convert(glm.nb(mantas~site*year+cosmonth+sinlunar, data=mydata))
m1237<-glm.convert(glm.nb(mantas~site*year+cosmonth+plankton, data=mydata))
m1245<-glm.convert(glm.nb(mantas~site*year+sinmonth+coslunar, data=mydata))
m1246<-glm.convert(glm.nb(mantas~site*year+sinmonth+sinlunar, data=mydata))
m1247<-glm.convert(glm.nb(mantas~site*year+sinmonth+plankton, data=mydata))
m1256<-glm.convert(glm.nb(mantas~site*year+coslunar+sinlunar, data=mydata))
m1257<-glm.convert(glm.nb(mantas~site*year+coslunar+plankton, data=mydata))
m1267<-glm.convert(glm.nb(mantas~site*year+sinlunar+plankton, data=mydata))
m1345<-glm.convert(glm.nb(mantas~site+cosmonth+sinmonth+coslunar,data=mydata))
m1346<-glm.convert(glm.nb(mantas~site+cosmonth+sinmonth+sinlunar,data=mydata))
m1347<-glm.convert(glm.nb(mantas~site+cosmonth+sinmonth+plankton,data=mydata))
m1356<-glm.convert(glm.nb(mantas~site+cosmonth+coslunar+sinlunar,data=mydata))
m1357<-glm.convert(glm.nb(mantas~site+cosmonth+coslunar+plankton,data=mydata))
m1367<-glm.convert(glm.nb(mantas~site+cosmonth+sinlunar+plankton,data=mydata))
m1456<-glm.convert(glm.nb(mantas~site+sinmonth+coslunar+sinlunar,data=mydata))
m1457<-glm.convert(glm.nb(mantas~site+sinmonth+coslunar+plankton,data=mydata))
m1467<-glm.convert(glm.nb(mantas~site+sinmonth+sinlunar+plankton,data=mydata))
m1567<-glm.convert(glm.nb(mantas~site+coslunar+sinlunar+plankton,data=mydata))
m2345<-glm.convert(glm.nb(mantas~year+cosmonth+sinmonth+coslunar,data=mydata))
m2346<-glm.convert(glm.nb(mantas~year+cosmonth+sinmonth+sinlunar,data=mydata))
m2347<-glm.convert(glm.nb(mantas~year+cosmonth+sinmonth+plankton,data=mydata))
m2356<-glm.convert(glm.nb(mantas~year+cosmonth+coslunar+sinlunar,data=mydata))
m2357<-glm.convert(glm.nb(mantas~year+cosmonth+coslunar+plankton,data=mydata))
m2367<-glm.convert(glm.nb(mantas~year+cosmonth+sinlunar+plankton,data=mydata))
m2456<-glm.convert(glm.nb(mantas~year+sinmonth+coslunar+sinlunar,data=mydata))
m2457<-glm.convert(glm.nb(mantas~year+sinmonth+coslunar+plankton,data=mydata))
m2467<-glm.convert(glm.nb(mantas~year+sinmonth+sinlunar+plankton,data=mydata))
m2567<-glm.convert(glm.nb(mantas~year+coslunar+sinlunar+plankton,data=mydata))
m3456<-glm.convert(glm.nb(mantas~cosmonth+sinmonth+coslunar+sinlunar,data=mydata))
m3457<-glm.convert(glm.nb(mantas~cosmonth+sinmonth+coslunar+plankton,data=mydata))
m3567<-glm.convert(glm.nb(mantas~cosmonth+coslunar+sinlunar+plankton,data=mydata))
m4567<-glm.convert(glm.nb(mantas~sinmonth+coslunar+sinlunar+plankton,data=mydata))
#Five terms - 21 models
m12345<-glm.convert(glm.nb(mantas~site*year+cosmonth+sinmonth+coslunar,
data=mydata))
m12346<-glm.convert(glm.nb(mantas~site*year+cosmonth+sinmonth+sinlunar,
data=mydata))
m12347<-glm.convert(glm.nb(mantas~site*year+cosmonth+sinmonth+plankton,
data=mydata))
m12356<-glm.convert(glm.nb(mantas~site*year+cosmonth+coslunar+sinlunar,
data=mydata))
m12357<-glm.convert(glm.nb(mantas~site*year+cosmonth+coslunar+plankton,
data=mydata))
m12367<-glm.convert(glm.nb(mantas~site*year+cosmonth+sinlunar+plankton,
data=mydata))
m12456<-glm.convert(glm.nb(mantas~site*year+sinmonth+coslunar+sinlunar,
data=mydata))
m12457<-glm.convert(glm.nb(mantas~site*year+sinmonth+coslunar+plankton,
data=mydata))
m12467<-glm.convert(glm.nb(mantas~site*year+sinmonth+sinlunar+plankton,
data=mydata))
m12567<-glm.convert(glm.nb(mantas~site*year+coslunar+sinlunar+plankton,
data=mydata))
m13456<-glm.convert(glm.nb(mantas~site+cosmonth+sinmonth+coslunar+sinlunar,
data=mydata))
m13457<-glm.convert(glm.nb(mantas~site+cosmonth+sinmonth+coslunar+plankton,
data=mydata))
m13467<-glm.convert(glm.nb(mantas~site+cosmonth+sinmonth+sinlunar+plankton,
data=mydata))
m13567<-glm.convert(glm.nb(mantas~site+cosmonth+coslunar+sinlunar+plankton,
data=mydata))
m14567<-glm.convert(glm.nb(mantas~site+sinmonth+coslunar+sinlunar+plankton,
data=mydata))
m23456<-glm.convert(glm.nb(mantas~year+cosmonth+sinmonth+coslunar+sinlunar,
data=mydata))
m23457<-glm.convert(glm.nb(mantas~year+cosmonth+sinmonth+coslunar+plankton,
data=mydata))
m23467<-glm.convert(glm.nb(mantas~year+cosmonth+sinmonth+sinlunar+plankton,
data=mydata))
m23567<-glm.convert(glm.nb(mantas~year+cosmonth+coslunar+sinlunar+plankton,
data=mydata))
m24567<-glm.convert(glm.nb(mantas~year+sinmonth+coslunar+sinlunar+plankton,
data=mydata))
m34567<-glm.convert(glm.nb(mantas~cosmonth+sinmonth+coslunar+sinlunar+plankton,
data=mydata))
#Six terms - 7 models
m123456<-glm.convert(glm.nb(mantas~site*year+cosmonth+sinmonth+coslunar+sinlunar,
data=mydata))
m123457<-glm.convert(glm.nb(mantas~site*year+cosmonth+sinmonth+coslunar+plankton,
data=mydata))
m123467<-glm.convert(glm.nb(mantas~site*year+cosmonth+sinmonth+sinlunar+plankton,
data=mydata))
m123567<-glm.convert(glm.nb(mantas~site*year+cosmonth+coslunar+sinlunar+plankton,
data=mydata))
m124567<-glm.convert(glm.nb(mantas~site*year+sinmonth+coslunar+sinlunar+plankton,
data=mydata))
m134567<-glm.convert(glm.nb(mantas~site+cosmonth+sinmonth+coslunar+sinlunar+plankton,
data=mydata))
m234567<-glm.convert(glm.nb(mantas~year+cosmonth+sinmonth+coslunar+sinlunar+plankton,
data=mydata))
#Seven terms - 1 model
m1234567<-glm.convert(glm.nb(mantas~site*year+cosmonth+sinmonth+coslunar+sinlunar+plankton,
data=mydata))
Tim Clark
Department of Zoology
University of Hawaii
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