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</o:shapelayout></xml><![endif]--></head><body lang=EN-ZA link=blue vlink=purple><div class=WordSection1><p class=MsoNormal>I am getting an error while trying to run Ensemble.Forecasting:<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal><span style='font-size:10.0pt;font-family:"Lucida Console";color:black;mso-fareast-language:EN-ZA'>Error in array(STATS, dims[perm]) : attempt to set an attribute on NULL<o:p></o:p></span></p><p class=MsoNormal><span style='font-size:10.0pt;font-family:"Lucida Console";color:black;mso-fareast-language:EN-ZA'>In addition: Warning messages:<o:p></o:p></span></p><p class=MsoNormal><span style='font-size:10.0pt;font-family:"Lucida Console";color:black;mso-fareast-language:EN-ZA'>1: In is.na(x) : is.na() applied to non-(list or vector) of type 'NULL'<o:p></o:p></span></p><p class=MsoNormal><span style='font-size:10.0pt;font-family:"Lucida Console";color:black;mso-fareast-language:EN-ZA'>2: In max(cumDim[cumDim <= lstats]) :<o:p></o:p></span></p><p class=MsoNormal><span style='font-size:10.0pt;font-family:"Lucida Console";color:black;mso-fareast-language:EN-ZA'> no non-missing arguments to max; returning -Inf<o:p></o:p></span></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>I have used both my own data and the example data that comes with BIOMOD and still get this error. My code is as follows using the BIOMOD data:<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>data(Sp.Env)<o:p></o:p></p><p class=MsoNormal>data(CoorXY)<o:p></o:p></p><p class=MsoNormal>Initial.State(Response = Sp.Env[,13], Explanatory = Sp.Env[,4:10], sp.name="sp1")<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>Models(GAM = T,Spline = 4,<o:p></o:p></p><p class=MsoNormal> NbRunEval = 2,<o:p></o:p></p><p class=MsoNormal> DataSplit = 70,<o:p></o:p></p><p class=MsoNormal> NbRepPA=1,<o:p></o:p></p><p class=MsoNormal> strategy="random",<o:p></o:p></p><p class=MsoNormal> coor=alldata2[,12:13],<o:p></o:p></p><p class=MsoNormal> nb.absences=5000,<o:p></o:p></p><p class=MsoNormal> Roc = T,<o:p></o:p></p><p class=MsoNormal> VarImport=T<o:p></o:p></p><p class=MsoNormal> )<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>data(Future1)<o:p></o:p></p><p class=MsoNormal>Projection(Proj=Future1[,4:10], Proj.name="sp1", ANN=F,CTA=F,GAM=T,GBM=F,GLM=F,MARS=F,<o:p></o:p></p><p class=MsoNormal> FDA=F,RF=F,SRE=F,repetition.models=T, compress="xz",FiltRoc=T)<o:p></o:p></p><p class=MsoNormal>Ensemble.Forecasting(Proj.name="sp1",ANN=F,CTA=F,GAM=T,GBM=F,GLM=F,MARS=F,<o:p></o:p></p><p class=MsoNormal> FDA=F,RF=F,SRE=F, weight.method='Roc',decay=1.6,binary=T,bin.method="Roc",Test=T,repetition.models=T)<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>traceback() gives the following information:<o:p></o:p></p><pre><span style='font-family:"Lucida Console";color:black'>7: array(STATS, dims[perm])<o:p></o:p></span></pre><pre><span style='font-family:"Lucida Console";color:black'>6: aperm(array(STATS, dims[perm]), order(perm))<o:p></o:p></span></pre><pre><span style='font-family:"Lucida Console";color:black'>5: apply((x > y), 2, as.integer)<o:p></o:p></span></pre><pre><span style='font-family:"Lucida Console";color:black'>4: FUN(x, aperm(array(STATS, dims[perm]), order(perm)), ...)<o:p></o:p></span></pre><pre><span style='font-family:"Lucida Console";color:black'>3: sweep(data.matrix(ProbData), 2, CutOffdata, FUN2)<o:p></o:p></span></pre><pre><span style='font-family:"Lucida Console";color:black'>2: BinaryTransformation(ARRAY.tot[, i, "median"], median(ths[[3]][TotalModels]))<o:p></o:p></span></pre><pre><span style='font-family:"Lucida Console";color:black'>1: Ensemble.Forecasting(Proj.name = paste("clunum", c(x * 10 + y + <o:p></o:p></span></pre><pre><span style='font-family:"Lucida Console";color:black'> 1), sep = ""), ANN = F, CTA = F, GAM = T, GBM = F, GLM = F, <o:p></o:p></span></pre><pre><span style='font-family:"Lucida Console";color:black'> MARS = F, FDA = F, RF = F, SRE = F, weight.method = "Roc", <o:p></o:p></span></pre><pre><span style='font-family:"Lucida Console";color:black'> decay = 1.6, binary = T, bin.method = "Roc", Test = T, repetition.models = T)<o:p></o:p></span></pre><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal><span style='font-family:"Arial","sans-serif";color:gray;mso-fareast-language:EN-ZA'>Vernon Visser<br>Post-doctoral Research Associate<br>Centre of Excellence for Invasion Biology<br>Department of Botany and Zoology<br>Natural Sciences Building<br>Private Bag X1<br>University of Stellenbosch<br>Matieland <br>7602<br>South Africa<o:p></o:p></span></p><p class=MsoNormal><span style='font-family:"Arial","sans-serif";mso-fareast-language:EN-ZA'><a href="https://sites.google.com/site/vernonvisserpostdoc/"><span style='color:blue'>https://sites.google.com/site/vernonvisserpostdoc/</span></a></span><span style='mso-fareast-language:EN-ZA'><o:p></o:p></span></p><p class=MsoNormal><o:p> </o:p></p></div></body></html>