Hi I am working on Species Distribution Modeling in R using BIOMOD2. When picking my algorithms to model I keep getting an error message about length (pred)
this is the code that I'm using library(knitr) library(markdown) library(rgdal) library(raster) library(shapefiles) library(biomod2) library(dismo) library(sp) library(rgeos) library(maptools) library(MigClim) setwd("V:/BIOCLIM") bio2 <- raster("bio_2.bil") bio5 <- raster("bio_5.bil") bio6 <- raster("bio_6.bil") bio15 <- raster ("bio_15.bil") bio18 <- raster ("bio_18.bil") bio19 <- raster ("bio_19.bil") bio2 <- crop (bio2, extent (-112,-105,34,39)) bio5 <- crop (bio5, extent (-112,-105,34,39)) bio6 <- crop (bio6, extent (-112,-105,34,39)) bio15 <- crop (bio15, extent (-112,-105,34,39)) bio18 <- crop (bio18, extent (-112,-105,34,39)) bio19 <- crop (bio19, extent (-112,-105,34,39)) envStack <-stack (bio2, bio5,bio6,bio15,bio18, bio19) rm #bring in your presence or presence/absence data setwd("C:/Users/Lindsie/Documents/R") BH <- read.csv("occurrence_BH.csv") head(BH) myBiomodData=BIOMOD_FormatingData(resp.var=as.matrix(BH[,3]),expl.var=envStack,resp.xy=BH[,1:2],resp.name="Huntii", PA.nb.rep=2, PA.nb.absences=909, PA.strategy="random",na.rm=TRUE) myBiomodOption <- BIOMOD_ModelingOptions() *myBiomodModelOut <- BIOMOD_Modeling(myBiomodData, models = c("GLM","GBM","GAM","CTA","ANN","SRE","FDA","MARS","RF"), models.options = myBiomodOption, NbRunEval = 1, DataSplit = 70, Yweights = NULL, VarImport = 3, models.eval.meth = c("ROC", "TSS", "KAPPA"), SaveObj = TRUE, rescal.all.models = TRUE)* at this point I get an error message that says *Error in length(pred) : 'pred' is missing * any suggestions? Thanks -- View this message in context: http://r.789695.n4.nabble.com/SDM-using-BIOMOD2-error-message-tp4681993.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.