Hello,

I am using package MuMIn to calculate AIC for a full model with 10
explanatory variables.
Thanks in advance in sharing your experience.

Q1
In the AIC list of all models, each model is differentiated by model number.
Please kindly advise if it is possible to
find the corresponding explanatory variable(s) for the model number.


Q2 error message
I tried to display sub-model with only temp_ran using the code below but
failed.
Please kindly suggest the potential failure cause.

code

rm(list=ls())



library(MuMIn)



datam <-read.csv("c:/migration/Mig_ratio_20100817.csv",header=T,
row.names=1)



mig.stds <-glm(datam.std$SummerM_ratio~
datam.std$temp_max++datam.std$evi_mean+datam.std$topo_var+datam.std$topo_mean+datam.std$coast+datam.std$Iso_index_0808,data=datam.std,family=gaussian)



target.model <-  dredge(mig.stds, subset=datam.std$temp_ran)



error in eval(expr, envir, enclos), 'temp_ran' not found



Q3 showing sub-models for two assigned explanatory variables
The manual only explains how to exclude two variables.
Please advise how to contain submodels regarding certain two or more
variables.


H

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