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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