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<p class="MsoNormal">Good day,<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">I hope this email finds you well. I am currently trying to evaluate my species modelling using independent data. I have followed the tutorial and manual, however, in the manual the same data is used for the independent data as the modelling
data and consequently has the same name, where they differ in mine. The problem is that I do not know where/how to read in the coordinates of my independent data from which my model will be evaluated. I suppose in the tutorial example there is no need to read
it in twice as it has the same name?<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 Sans Typewriter"">Initial.State(Response = alldata5[,1], Explanatory = alldata5[,2:7], IndependentResponse = alldataH[,1], IndependentExplanatory = alldataH[,2:7], sp.name="halicacabum")<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Lucida Sans Typewriter"">ls()<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Lucida Sans Typewriter"">Models(GBM = T, No.trees = 2000,<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Lucida Sans Typewriter""> NbRepPA=2,<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Lucida Sans Typewriter""> strategy="random",<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Lucida Sans Typewriter""> coor=alldata5[,8:9],
<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Lucida Sans Typewriter""> nb.absences=10000, <o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Lucida Sans Typewriter""> DataSplit = 70,<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Lucida Sans Typewriter""> NbRunEval = 4,<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Lucida Sans Typewriter""> KeepPredIndependent=T,
<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Lucida Sans Typewriter""> Roc = T,<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Lucida Sans Typewriter""> Optimized.Threshold.Roc=T,<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Lucida Sans Typewriter""> TSS=T,<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Lucida Sans Typewriter""> VarImport=T<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Lucida Sans Typewriter"">)<o:p></o:p></span></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">If I run this model I get the following error:<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-size:10.0pt;font-family:"Lucida Console";color:black;background:#E1E2E5;mso-fareast-language:EN-ZA">-----------------------------------
<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Lucida Console";color:black;background:#E1E2E5;mso-fareast-language:EN-ZA">Modelling summary
<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Lucida Console";color:black;background:#E1E2E5;mso-fareast-language:EN-ZA">-----------------------------------
<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Lucida Console";color:black;background:#E1E2E5;mso-fareast-language:EN-ZA">Number of species modelled : 1<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Lucida Console";color:black;background:#E1E2E5;mso-fareast-language:EN-ZA">halicacabum<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Lucida Console";color:black;background:#E1E2E5;mso-fareast-language:EN-ZA"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Lucida Console";color:black;background:#E1E2E5;mso-fareast-language:EN-ZA">numerical variables : mtcoldm, mtwarmm, pcoldq, pdrym, pwarmq, ts<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Lucida Console";color:black;background:#E1E2E5;mso-fareast-language:EN-ZA"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Lucida Console";color:black;background:#E1E2E5;mso-fareast-language:EN-ZA"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Lucida Console";color:black;background:#E1E2E5;mso-fareast-language:EN-ZA">number of evaluation repetitions : 4<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Lucida Console";color:black;background:#E1E2E5;mso-fareast-language:EN-ZA">number of pseudo-absences runs : 2<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Lucida Console";color:black;background:#E1E2E5;mso-fareast-language:EN-ZA">models selected : GBM<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Lucida Console";color:black;background:#E1E2E5;mso-fareast-language:EN-ZA">total number of model runs : 10<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Lucida Console";color:black;background:#E1E2E5;mso-fareast-language:EN-ZA">-----------------------------------
<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Lucida Console";color:black;background:#E1E2E5;mso-fareast-language:EN-ZA"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Lucida Console";color:black;background:#E1E2E5;mso-fareast-language:EN-ZA"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Lucida Console";color:black;background:#E1E2E5;mso-fareast-language:EN-ZA">##### halicacabum #####<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Lucida Console";color:black;background:#E1E2E5;mso-fareast-language:EN-ZA">##### pseudo-absence run 1 #####<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Lucida Console";color:black;background:#E1E2E5;mso-fareast-language:EN-ZA">Model=Generalised Boosting Regression
<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Lucida Console";color:black;background:#E1E2E5;mso-fareast-language:EN-ZA"> 2000 maximum different trees and lambda Fold Cross-Validation
<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">Error in TSS.Stat(Misc) : subscript out of bounds<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 message:<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 rbind(Misc, a) :<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"> number of columns of result is not a multiple of vector length (arg 1)<span style="background:#E1E2E5"><o:p></o:p></span></span></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">Thanx!<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Euphemia","sans-serif";color:navy;mso-fareast-language:EN-ZA">Enelge</span><span style="mso-fareast-language:EN-ZA"><o:p></o:p></span></p>
<p class="MsoNormal"><o:p> </o:p></p>
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