Since your "best" model is blank for all three, your summary indicates that none of the predictors improve model fit. Model 5 had result with interception and areaĪs pointed out, the output shows the model 'rank' from best to worst according to AICc score the values under each predictor column indicate the estimated coefficient for that parameter in that model.Model 1 only had result with interception.Which is the best model / variables? What does model 1 mean? What does intercept mean? This is the output: Model selection table Get.models(selec_Coleop, subset = delta < 2)īarplot(t(imp_Coleop), main="Coleoptera") RegMODEL_Coleop <- lm(SR_Coleop_Mac ~ Area + Age + Altitude, SR_Coleop_Mac <- log10(species$Coleoptera + 1) Species <- read.table("DataSpecies.txt", h=T)
This is the input: biogeo <- read.table("DataIslands.txt", h=T) I need find which is the best model / variables for explaining the species richness of Coleoptera in Hawaii islands.
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