[Biomod-commits] error message in running the models

Emilie Roy-Dufresne emilie.roy-dufresne at mail.mcgill.ca
Thu Feb 16 23:20:37 CET 2012


confirm 18ee744ad3977b59039ac17e53e4bc7c154780d9


> Hi!
> I having some issues while trying to run the BioMod script in R. I keep
> getting this error message while I run the different models provided my
> BioMod with my data. What does it mean?
>
> > Models(GLM=T,TypeGLM="poly",Test="AIC",GBM=T,No.trees=2000,GAM=T,Spline=3,CTA=T,CV.tree=50,ANN=T,CV.ann=2,SRE=T,quant=0.025,FDA=T,MARS=T,RF=T,NbRunEval=3,DataSplit=70,Yweights=NULL,Roc=T,Optimized.Threshold.Roc=T,Kappa=T,TSS=T,KeepPredIndependent=T,VarImport=5,NbRepPA=2,strategy="sre",coor=My.Data[,2:3],distance=2,nb.absences=100)
>
>
>
> -----------------------------------
>
> Modelling summary
>
> -----------------------------------
>
> Number of species modelled :          1
>
> peromyscus
>
>
>
> numerical variables :                 photo01, photo02, photo03, photo04,
> photo05, photo09, photo10, photo11, photo12, allqcland, recancover,
> tminavg01, tminavg02, tminavg03, tminavg04, tminavg05, tminavg06,
> tminavg07, tminavg08, tminavg09, tminavg10, tminavg11, tminavg12,
> tmaxavg01, tmaxavg02, tmaxavg03, tmaxavg04, tmaxavg05, tmaxavg06,
> tmaxavg07, tmaxavg08, tmaxavg09, tmaxavg10, tmaxavg11, tmaxavg12, trngavg,
> precavg01, precavg02, precavg03, precavg04, precavg05, precavg06,
> precavg07, precavg08, precavg09, precavg10, precavg11, precavg12, sdmavg01,
> sdmavg02, sdmavg03, sdmavg04, sdmavg05, sdmavg06, sdmavg07, sdmavg08,
> sdmavg09, sdmavg10, sdmavg11, sdmavg12, wlenavg, wpravg, wtmnavg, wtmxavg
>
>
>
>
>
> number of evaluation repetitions :    3
>
> number of pseudo-absences runs :      2
>
> models selected :                     ANN, CTA, GAM, GBM, GLM, MARS, FDA,
> RF, SRE
>
> total number of model runs :          72
>
> -----------------------------------
>
>
>
>
>
> #####                  peromyscus                    #####
>
> #####             pseudo-absence run 1                       #####
>
> Model=Artificial Neural Network
>
>          2 Fold Cross Validation + 3 Repetitions
>
> Calibration and evaluation phase: Nb of cross-validations:  3
>
> Error in parse(text = paste("Target[Samp$calibration]",
> paste(.scopeExpSyst(Input[1:10,  :
>
>   <text>:2:0: unexpected end of input
>
> 1: 12 + tmaxavg01 + tmaxavg02 + tmaxavg03 + tmaxavg04 + tmaxavg05 +
> tmaxavg06 + tmaxavg07 + tmaxavg08 + tmaxavg09 + tmaxavg10 + tmaxavg11 +
> tmaxavg12 + trngavg + precavg01 + precavg02 + precavg03
>
>   ^
>
> Thank you,
> *____________________________________*
> Emilie Roy-Dufresne
> M. Sc. Candidate Geography Department - McGill - Biogeography studies
> Guide en tourisme d'aventure
>
>
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