# HG changeset patch
# User ecology
# Date 1556295687 14400
# Node ID eb19a5089b564d30ab07a534477a152a86c9cc73
# Parent 8c472c4f1bf556d49a7b0bbfde23535114dfbc1f
planemo upload for repository https://github.com/galaxyecology/tools-ecology/tools/vigiechiro commit 7ef0e58cbcbf41088e359f00b6c86504c773c271
diff -r 8c472c4f1bf5 -r eb19a5089b56 IdValid.R
--- a/IdValid.R Wed Mar 13 11:18:58 2019 -0400
+++ /dev/null Thu Jan 01 00:00:00 1970 +0000
@@ -1,165 +0,0 @@
-#!/usr/bin/env Rscript
-
-suppressMessages(library(data.table))
-
-ValidHier=function(x,y) #used to write validator id over observer id
-{
- #cat(y)
- if(is.na(y)){x}else{y}
-}
-
-f2p <- function(x) #get date-time data from recording file names
-{
- if (is.data.frame((x)[1])) {pretemps <- vector(length = nrow(x))}
- op <- options(digits.secs = 3)
- pretemps <- paste(substr(x, nchar(x) - 18, nchar(x)-4), ".", substr(x, nchar(x) - 2, nchar(x)), sep = "")
- strptime(pretemps, "%Y%m%d_%H%M%OS",tz="UTC")-7200
-}
-
-args <- commandArgs(trailingOnly = TRUE)
-
-
-IdCorrect=fread(args[1])
-RefSeuil=fread(args[2])
-#IdV=as.data.frame(subset(IdCorrect,select=observateur_taxon:validateur_probabilite))
-
-#Step 0 :compute id score from 2nd Layer
-test=match("participation",names(IdCorrect))
-IdCorrect$IdScore=apply(as.data.frame(IdCorrect)[,(test+1):(ncol(IdCorrect)-1)],MARGIN=1,FUN=max)
-#compute true success probabilities according to logistic regression issued from "Referentiel_seuils"
-CorrSp=match(IdCorrect$ProbEsp_C2bs,RefSeuil$Espece)
-PSp=RefSeuil$Pente[CorrSp]
-ISp=RefSeuil$Int[CorrSp]
-suppressWarnings(IdCorrect$IdProb<-mapply(FUN=function(w,x,y) if((!is.na(y))&(y>0)&(y<1000)) {(exp(y*w+x)/(1+exp(y*w+x)))}else{w} ,IdCorrect$IdScore,ISp,PSp))
-
-#Step 1 :compute id with confidence regarding a hierarchy (validator > observer)
-IdCorrect$IdV=mapply(ValidHier,IdCorrect$observateur_taxon,IdCorrect$validateur_taxon)
-IdCorrect$ConfV=mapply(ValidHier,IdCorrect$observateur_probabilite
- ,IdCorrect$validateur_probabilite)
-
-
-
-#Step 2: Get numerictime data
-suppressWarnings(IdCorrect$Session<-NULL)
-suppressWarnings(IdCorrect$TimeNum<-NULL)
-
-if (substr(IdCorrect$`nom du fichier`[1],2,2)=="i") #for car/walk transects
-{
- FileInfo=as.data.table(tstrsplit(IdCorrect$`nom du fichier`,"-"))
- IdCorrect$Session=as.numeric(substr(FileInfo$V4,5,nchar(FileInfo$V4)))
- TimeSec=as.data.table(tstrsplit(FileInfo$V5,"_"))
- TimeSec=as.data.frame(TimeSec)
- if(sum(TimeSec[,(ncol(TimeSec)-1)]!="00000")==0) #to deal with double Kaleidoscope treatments
- {
- print("NOMS DE FICHIERS NON CONFORMES")
- print("Vous les avez probablement traiter 2 fois par Kaleidoscope")
- stop("Merci de nous signaler cette erreur par mail pour correction")
- }else{
- IdCorrect$TimeNum=(IdCorrect$Session*800
- +as.numeric(TimeSec[,(ncol(TimeSec)-1)])
- +as.numeric(TimeSec[,(ncol(TimeSec))])/1000)
- }
-
-}else{
- if(substr(IdCorrect$`nom du fichier`[1],2,2)=="a") #for stationary recordings
- {
- DateRec=as.POSIXlt(f2p(IdCorrect$`nom du fichier`))
- Nuit=format(as.Date(DateRec-43200*(DateRec$hour<12)),format="%d/%m/%Y")
- #Nuit[is.na(Nuit)]=0
- IdCorrect$Session=Nuit
- IdCorrect$TimeNum=as.numeric(DateRec)
-
- }else{
- print("NOMS DE FICHIERS NON CONFORMES")
- stop("Ils doivent commencer par Cir (routier/pedestre) ou par Car (points fixes")
- }
-}
-
-
-
-
-#Step 3 :treat sequentially each species identified by Tadarida-C
-IdExtrap=vector() #to store the id extrapolated from validations
-IdC2=IdCorrect[0,] #to store data in the right order
-TypeE=vector() #to store the type of extrapolation made
-for (j in 1:nlevels(as.factor(IdCorrect$ProbEsp_C2bs)))
-{
- IdSp=subset(IdCorrect
- ,IdCorrect$ProbEsp_C2bs==levels(as.factor(IdCorrect$ProbEsp_C2bs))[j])
- if(sum(is.na(IdSp$IdV))==(nrow(IdSp))) #case 1 : no validation no change
- {
- IdC2=rbind(IdC2,IdSp)
- IdExtrap=c(IdExtrap,rep(IdSp$ProbEsp_C2bs[1],nrow(IdSp)))
- TypeE=c(TypeE,rep(0,nrow(IdSp)))
- }else{ #case 2: some validation
- Vtemp=subset(IdSp,is.na(IdSp$IdV))
- #case2A: validations are homogeneous
- if(nlevels(as.factor(Vtemp$IdV))==1)
- {
- IdC2=rbind(IdC2,IdSp)
- IdExtrap=c(IdExtrap,rep(Vtemp$IdV[1],nrow(IdSp)))
- TypeE=c(TypeE,rep(2,nrow(IdSp)))
- }else{
- #case 2B: validations are heterogeneous
- #case 2B1: some validations confirms the species identified by Tadarida and highest confidence are confirmed
- subVT=subset(Vtemp,Vtemp$IdV==levels(as.factor(IdCorrect$ProbEsp_C2bs))[j])
- subVF=subset(Vtemp,Vtemp$IdV!=levels(as.factor(IdCorrect$ProbEsp_C2bs))[j])
- if((nrow(subVT)>0)&(max(subVT$IdProb)>max(subVF$IdProb)))
- {
- Vtemp=Vtemp[order(Vtemp$IdProb),]
- test=(Vtemp$IdV!=Vtemp$ProbEsp_C2bs)
- Fr1=max(which(test == TRUE)) #find the error with highest indices
- Thr1=mean(Vtemp$IdProb[(Fr1):(Fr1+1)]) #define first threshold as the median confidence between the first error and the confirmed ID right over it
- #id over this threshold are considered right
- IdHC=subset(IdSp,IdSp$IdProb>Thr1)
- IdC2=rbind(IdC2,IdHC)
- IdExtrap=c(IdExtrap,rep(Vtemp$IdV[nrow(Vtemp)],nrow(IdHC)))
- TypeE=c(TypeE,rep(2,nrow(IdHC)))
- #id under this threshold are attributed to validated id closest in time
- Vtemp=Vtemp[order(Vtemp$TimeNum),]
- cuts <- c(-Inf, Vtemp$TimeNum[-1]-diff(Vtemp$TimeNum)/2, Inf)
- CorrV=findInterval(IdSp$TimeNum, cuts)
- IdE=Vtemp$IdV[CorrV]
- IdEL=subset(IdE,IdSp$IdProb<=Thr1)
- IdLC=subset(IdSp,IdSp$IdProb<=Thr1)
- IdExtrap=c(IdExtrap,IdEL)
- TypeE=c(TypeE,rep(1,length(IdEL)))
- IdC2=rbind(IdC2,IdLC)
-
-
- }else{
- #case 2B2: all validations concerns errors
- #id are extrapolated on time only
- Vtemp=Vtemp[order(Vtemp$TimeNum),]
- cuts <- c(-Inf, Vtemp$TimeNum[-1]-diff(Vtemp$TimeNum)/2, Inf)
- CorrV=findInterval(IdSp$TimeNum, cuts)
- IdE=Vtemp$IdV[CorrV]
- IdExtrap=c(IdExtrap,IdE)
- TypeE=c(TypeE,rep(1,length(IdE)))
- IdC2=rbind(IdC2,IdSp)
- }
- }
-
-
- }
-
-
-}
-test1=(nrow(IdC2)==length(IdExtrap))
-test2=(nrow(IdC2)==nrow(IdCorrect))
-if((test1==F)|(test2==F))
-{
- (stop("Erreur de traitement !!!"))
-}
-
-IdC2$IdExtrap=IdExtrap
-IdC2$TypeE=TypeE
-
-
-IdC2=IdC2[order(IdC2$IdProb,decreasing=T),]
-IdC2=IdC2[order(IdC2$ConfV,decreasing=T),]
-IdC2=IdC2[order(IdC2$`nom du fichier`),]
-#discard duplicated species within the same files (= false positives corrected by 2nd layer)
-IdC2=unique(IdC2,by=c("nom du fichier","IdExtrap"))
-
-write.table(IdC2,"output.tabular",row.names=F,sep="\t",quote=FALSE,na="NA")
diff -r 8c472c4f1bf5 -r eb19a5089b56 IdValidTidy.R
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/IdValidTidy.R Fri Apr 26 12:21:27 2019 -0400
@@ -0,0 +1,170 @@
+#!/usr/bin/env Rscript
+
+args <- commandArgs(trailingOnly = TRUE)
+
+#print(args)
+
+library(data.table)
+library(methods)
+
+
+ValidHier=function(x,y) #used to write validator id over observer id
+{
+ if(y==""){x}else{y}
+}
+
+f2p <- function(x) #get date-time data from recording file names
+{
+ if (is(x)[1] == "data.frame") {pretemps <- vector(length = nrow(x))}
+ op <- options(digits.secs = 3)
+ pretemps <- paste(substr(x, nchar(x) - 18, nchar(x)-4), ".", substr(x, nchar(x) - 2, nchar(x)), sep = "")
+ strptime(pretemps, "%Y%m%d_%H%M%OS",tz="UTC")-7200
+}
+
+
+IdCorrect=fread(args[1])
+
+#Step 0 :compute id score from 2nd Layer
+IdCorrect$IdProb=IdCorrect$tadarida_probabilite
+
+IdCorrect$observateur_taxon[is.na(IdCorrect$observateur_taxon)]=""
+IdCorrect$observateur_probabilite[is.na(IdCorrect$observateur_probabilite)]=""
+IdCorrect$validateur_taxon[is.na(IdCorrect$validateur_taxon)]=""
+IdCorrect$validateur_probabilite[is.na(IdCorrect$validateur_probabilite)]=""
+
+
+
+#Step 1 :compute id with confidence regarding a hierarchy (validator > observer)
+IdCorrect$IdV=mapply(ValidHier,IdCorrect$observateur_taxon,IdCorrect$validateur_taxon)
+IdCorrect$ConfV=mapply(ValidHier,IdCorrect$observateur_probabilite
+ ,IdCorrect$validateur_probabilite)
+
+
+#print(paste(length(subset(IdCorrect$ConfV,IdCorrect$ConfV!=""))))
+
+#Step 2: Get numerictime data
+if (substr(IdCorrect$`nom du fichier`[1],2,2)=="i") #for car/walk transects
+{
+ FileInfo=as.data.table(tstrsplit(IdCorrect$`nom du fichier`,"-"))
+ IdCorrect$Session=as.numeric(substr(FileInfo$V4,5,nchar(FileInfo$V4)))
+ TimeSec=as.data.table(tstrsplit(FileInfo$V5,"_"))
+ TimeSec=as.data.frame(TimeSec)
+ if(sum(TimeSec[,(ncol(TimeSec)-1)]!="00000")==0) #to deal with double Kaleidoscope treatments
+ {
+ print("NOMS DE FICHIERS NON CONFORMES")
+ print("Vous les avez probablement traiter 2 fois par Kaleidoscope")
+ stop("Merci de nous signaler cette erreur par mail pour correction")
+ }else{
+ IdCorrect$TimeNum=(IdCorrect$Session*800
+ +as.numeric(TimeSec[,(ncol(TimeSec)-1)])
+ +as.numeric(TimeSec[,(ncol(TimeSec))])/1000)
+ }
+
+}else{
+ if(substr(IdCorrect$`nom du fichier`[1],2,2)=="a") #for stationary recordings
+ {
+ DateRec=as.POSIXlt(f2p(IdCorrect$`nom du fichier`))
+ Nuit=format(as.Date(DateRec-43200*(DateRec$hour<12)),format="%d/%m/%Y")
+ #Nuit[is.na(Nuit)]=0
+ IdCorrect$Session=Nuit
+ IdCorrect$TimeNum=as.numeric(DateRec)
+
+ }else{
+ print("NOMS DE FICHIERS NON CONFORMES")
+ stop("Ils doivent commencer par Cir (routier/pedestre) ou par Car (points fixes")
+ }
+}
+
+#hist(IdCorrect$TimeNum)
+
+
+
+
+#Step 3 :treat sequentially each species identified by Tadarida-C
+IdExtrap=vector() #to store the id extrapolated from validations
+IdC2=IdCorrect[0,] #to store data in the right order
+TypeE=vector() #to store the type of extrapolation made
+for (j in 1:nlevels(as.factor(IdCorrect$tadarida_taxon)))
+{
+ IdSp=subset(IdCorrect
+ ,IdCorrect$tadarida_taxon==levels(as.factor(IdCorrect$tadarida_taxon))[j])
+ if(sum(IdSp$IdV=="")==(nrow(IdSp))) #case 1 : no validation no change
+ {
+ IdC2=rbind(IdC2,IdSp)
+ IdExtrap=c(IdExtrap,rep(IdSp$tadarida_taxon[1],nrow(IdSp)))
+ TypeE=c(TypeE,rep(0,nrow(IdSp)))
+ }else{ #case 2: some validation
+ Vtemp=subset(IdSp,IdSp$IdV!="")
+ #case2A: validations are homogeneous
+ if(nlevels(as.factor(Vtemp$IdV))==1)
+ {
+ IdC2=rbind(IdC2,IdSp)
+ IdExtrap=c(IdExtrap,rep(Vtemp$IdV[1],nrow(IdSp)))
+ TypeE=c(TypeE,rep(2,nrow(IdSp)))
+ }else{
+ #case 2B: validations are heterogeneous
+ #case 2B1: some validations confirms the species identified by Tadarida and highest confidence are confirmed
+ subVT=subset(Vtemp,Vtemp$IdV==levels(as.factor(IdCorrect$tadarida_taxon))[j])
+ subVF=subset(Vtemp,Vtemp$IdV!=levels(as.factor(IdCorrect$tadarida_taxon))[j])
+ if((nrow(subVT)>0)&(max(subVT$IdProb)>max(subVF$IdProb)))
+ {
+ Vtemp=Vtemp[order(Vtemp$IdProb),]
+ test=(Vtemp$IdV!=Vtemp$tadarida_taxon)
+ Fr1=max(which(test == TRUE)) #find the error with highest indices
+ Thr1=mean(Vtemp$IdProb[(Fr1):(Fr1+1)]) #define first threshold as the median confidence between the first error and the confirmed ID right over it
+ #id over this threshold are considered right
+ IdHC=subset(IdSp,IdSp$IdProb>Thr1)
+ IdC2=rbind(IdC2,IdHC)
+ IdExtrap=c(IdExtrap,rep(Vtemp$IdV[nrow(Vtemp)],nrow(IdHC)))
+ TypeE=c(TypeE,rep(2,nrow(IdHC)))
+ #id under this threshold are attributed to validated id closest in time
+ Vtemp=Vtemp[order(Vtemp$TimeNum),]
+ cuts <- c(-Inf, Vtemp$TimeNum[-1]-diff(Vtemp$TimeNum)/2, Inf)
+ CorrV=findInterval(IdSp$TimeNum, cuts)
+ IdE=Vtemp$IdV[CorrV]
+ IdEL=subset(IdE,IdSp$IdProb<=Thr1)
+ IdLC=subset(IdSp,IdSp$IdProb<=Thr1)
+ IdExtrap=c(IdExtrap,IdEL)
+ TypeE=c(TypeE,rep(1,length(IdEL)))
+ IdC2=rbind(IdC2,IdLC)
+
+
+ }else{
+ #case 2B2: all validations concerns errors
+ #id are extrapolated on time only
+ Vtemp=Vtemp[order(Vtemp$TimeNum),]
+ cuts <- c(-Inf, Vtemp$TimeNum[-1]-diff(Vtemp$TimeNum)/2, Inf)
+ CorrV=findInterval(IdSp$TimeNum, cuts)
+ IdE=Vtemp$IdV[CorrV]
+ IdExtrap=c(IdExtrap,IdE)
+ TypeE=c(TypeE,rep(1,length(IdE)))
+ IdC2=rbind(IdC2,IdSp)
+ }
+ }
+
+
+ }
+
+ #print(paste(j,nrow(IdC2),length(IdExtrap)))
+
+}
+test1=(nrow(IdC2)==length(IdExtrap))
+test2=(nrow(IdC2)==nrow(IdCorrect))
+if((test1==F)|(test2==F))
+{
+ (stop("Erreur de traitement !!!"))
+}
+
+IdC2$IdExtrap=IdExtrap
+IdC2$TypeE=TypeE
+
+
+IdC2=IdC2[order(IdC2$IdProb,decreasing=T),]
+IdC2=IdC2[order(IdC2$ConfV,decreasing=T),]
+IdC2=IdC2[order(IdC2$`nom du fichier`),]
+#discard duplicated species within the same files (= false positives corrected by 2nd layer)
+IdC2=unique(IdC2,by=c("nom du fichier","IdExtrap"))
+
+
+
+write.table(IdC2,"IdValidTidy.tabular",row.names=F,sep="\t")
diff -r 8c472c4f1bf5 -r eb19a5089b56 IdValidTidyen.xml
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/IdValidTidyen.xml Fri Apr 26 12:21:27 2019 -0400
@@ -0,0 +1,43 @@
+
+ Integrate identifications from animal detection on acoustic recordings
+
+ vigiechiro_macros.xml
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff -r 8c472c4f1bf5 -r eb19a5089b56 IdValiden.xml
--- a/IdValiden.xml Wed Mar 13 11:18:58 2019 -0400
+++ /dev/null Thu Jan 01 00:00:00 1970 +0000
@@ -1,46 +0,0 @@
-
- Integrate identifications from animal detection on acoustic recordings
-
- vigiechiro_macros.xml
-
-
- r-data.table
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
diff -r 8c472c4f1bf5 -r eb19a5089b56 Referentiel_seuils_C2.csv
--- a/Referentiel_seuils_C2.csv Wed Mar 13 11:18:58 2019 -0400
+++ /dev/null Thu Jan 01 00:00:00 1970 +0000
@@ -1,77 +0,0 @@
-Espece;Int;Pente;Seuil50;Seuil90;FN50;FN90;FP50;FP90;Int;Pente;Seuil50;Seuil90;FN50;FN90;FP50;FP90;Perftot;PerfP2;ratio;;PerfPFtot;Espece;FN50;FN90;FP50;FP90;Int;Pente;Seuil50;Seuil90
-chirp;-9.796506402;46.92990813;0.209;0.256;0.08;0.12;0.041666667;0;-9.56313307;44.09513566;0.217;0.267;0.08;0.08;0;0;0.060416667;0.04;0.662068966;0.662068966;0.060416667;chirp;0.08;0.12;0.041666667;0;-9.621801388;46.06782011;0.209;0.257
-Rhifer;-5.993856471;15.08754459;0.398;0.543;0.298076923;0.298076923;0.058064516;0.058064516;-5.889843127;16.57369156;0.356;0.488;0.281553398;0.296116505;0.051282051;0.052287582;0.17807072;0.170309884;0.956417115;0.99245238;0.171605094;Rhifer;0.291262136;0.291262136;0.051948052;0.051948052;-5.851562087;15.04050575;0.39;0.536
-Rhihip;-5.969614204;11.40700358;0.524;0.716;0.225;0.35;0.099585062;0.056994819;-5.819466659;11.41414973;0.51;0.703;0.221428571;0.321428571;0.084033613;0.054726368;0.18289497;0.170404281;0.931705672;0.933067009;0.182628128;Rhihip;0.225;0.353571429;0.099585062;0.052356021;-5.790678559;11.13511299;0.521;0.718
-Barbar;-5.673386605;11.75110344;0.483;0.67;0.291366906;0.356115108;0.08372093;0.057894737;-5.564489618;11.74868047;0.474;0.661;0.321285141;0.389558233;0.10106383;0.067484663;0.19727442;0.219847966;1.114427132;1.033526108;0.212716413;Barbar;0.309236948;0.385542169;0.094736842;0.061349693;-5.561291853;11.24861482;0.495;0.69
-Rusnit;-5.761885307;27.00734744;0.214;0.295;0.369491525;0.379661017;0.046153846;0.021390374;-5.999840427;37.36156155;0.161;0.22;0.397959184;0.413265306;0.070866142;0.025423729;0.204174191;0.22687859;1.111201123;1.001041207;0.226642608;Rusnit;0.408163265;0.408163265;0.056910569;0.033333333;-5.880405916;32.26404124;0.183;0.251
-Myonat;-5.634559403;11.86614368;0.475;0.661;0.338645418;0.474103586;0.117021277;0.050359712;-5.528792174;11.69073573;0.473;0.661;0.331950207;0.443983402;0.095505618;0.042857143;0.245032498;0.228574093;0.932831744;0.962409212;0.237501979;Myonat;0.32780083;0.452282158;0.119565217;0.050359712;-5.527766673;11.52009507;0.48;0.671
-Nyclei;-4.935905731;10.51420089;0.47;0.679;0.382882883;0.45045045;0.121794872;0.057915058;-4.867531773;10.39089138;0.469;0.68;0.36097561;0.443902439;0.105802048;0.053941909;0.253260816;0.241155501;0.952202182;1.011251568;0.238472314;Nyclei;0.36097561;0.429268293;0.114864865;0.048780488;-4.875184583;10.49761466;0.465;0.674
-Nycnoc;-5.915598202;13.74409497;0.431;0.591;0.398963731;0.492227979;0.165467626;0.066666667;-6.139379694;17.74192449;0.347;0.47;0.37012987;0.396103896;0.118181818;0.051020408;0.280831501;0.233858998;0.832737772;0.959975533;0.243609332;Nycnoc;0.344155844;0.435064935;0.151260504;0.043956044;-6.179570269;14.61424023;0.423;0.574
-Lamsp.;-7.244082473;21.93899668;0.331;0.431;0.351851852;0.518518519;0.125;0.103448276;-6.954350212;18.69608095;0.372;0.49;0.377358491;0.528301887;0.153846154;0.137931034;0.274704662;0.299359391;1.089749951;1.159077941;0.258273737;Lamsp.;0.339622642;0.471698113;0.125;0.096774194;-7.11431275;21.74802941;0.328;0.429
-Leppun;-4.219470191;9.460363122;0.447;0.679;0.35551142;0.550148957;0.120596206;0.111764706;-4.315732499;9.578325998;0.451;0.68;0.295641932;0.551236749;0.123167155;0.120092379;0.284505322;0.272534554;0.957924272;1.017906068;0.267740376;Leppun;0.293286219;0.542991755;0.126637555;0.108045977;-4.368656949;9.338141008;0.468;0.704
-Pippip;-3.700038171;8.471925149;0.437;0.697;0.318051576;0.58739255;0.14017341;0.119804401;-3.791687392;8.188349216;0.464;0.732;0.288392213;0.583273252;0.143972246;0.120243531;0.291355484;0.283970311;0.974652361;1.004162485;0.282793188;Pippip;0.281903389;0.584715213;0.147989735;0.116564417;-3.82796986;8.341092474;0.459;0.723
-Pleaus;-5.939604546;11.86576121;0.501;0.686;0.351694915;0.555084746;0.172972973;0.110169492;-5.900088719;11.82314875;0.5;0.685;0.308035714;0.571428571;0.171122995;0.127272727;0.297480531;0.294465002;0.989863103;1.016773712;0.289607214;Pleaus;0.330357143;0.540178571;0.175824176;0.112068966;-5.885720467;11.67405029;0.505;0.693
-Cympud;-7.467398698;62.2463892;0.12;0.156;0.461538462;0.512820513;0.16;0.05;-7.06821093;46.59940666;0.152;0.199;0.512820513;0.538461538;0.136363636;0.052631579;0.296089744;0.310069317;1.047213973;1.047213973;0.296089744;Cympud;0.461538462;0.512820513;0.16;0.05;-7.293299422;60.78611347;0.12;0.157
-Tetvir;-3.839332428;10.95821523;0.351;0.551;0.448083624;0.601393728;0.136314068;0.110419907;-3.939088148;11.46248808;0.344;0.536;0.421343146;0.578656854;0.126388889;0.101960784;0.324052832;0.307087418;0.94764615;0.985117137;0.311726806;Tetvir;0.421343146;0.585096596;0.130013831;0.110453649;-3.952681976;11.40274117;0.347;0.54
-Pipkuh;-3.935647122;10.11542846;0.39;0.607;0.447322971;0.57253886;0.131614654;0.1;-3.873786517;9.941049967;0.39;0.611;0.450148075;0.570582428;0.128325509;0.101239669;0.312869121;0.31257392;0.999056472;0.999179586;0.312830571;Pipkuh;0.446199408;0.573543929;0.131578947;0.1;-3.866704605;9.764599849;0.396;0.622
-Minsch;-5.502466359;10.69059862;0.515;0.721;0.439393939;0.579545455;0.2;0.082644628;-5.35750292;9.923424881;0.54;0.762;0.421455939;0.586206897;0.196808511;0.092436975;0.325396006;0.32422708;0.996407684;1.020864571;0.317600482;Minsch;0.429118774;0.559386973;0.194594595;0.087301587;-5.350126413;10.65721406;0.503;0.709
-Pippyg;-4.993728468;8.884931398;0.563;0.81;0.37398374;0.601626016;0.176470588;0.147826087;-4.908838834;8.6498083;0.568;0.822;0.347921225;0.636761488;0.174515235;0.165829146;0.324976608;0.331256774;1.019324978;1.031798922;0.3210478;Pippyg;0.33916849;0.623632385;0.177111717;0.144278607;-4.993509006;8.658151865;0.577;0.831
-Yerray;-5.768708319;15.7866469;0.366;0.505;0.524096386;0.626506024;0.177083333;0.114285714;-5.664644872;17.85467018;0.318;0.441;0.49382716;0.574074074;0.136842105;0.103896104;0.360492864;0.327159861;0.907534915;1.008188606;0.324502637;Yerray;0.487654321;0.580246914;0.161616162;0.068493151;-5.703609328;17.53037583;0.326;0.451
-Hypsav;-5.183551814;10.23704603;0.507;0.721;0.478405316;0.641196013;0.190721649;0.084745763;-5.036273386;10.25479797;0.492;0.706;0.462068966;0.624137931;0.191709845;0.084033613;0.348767185;0.340487589;0.976260391;1.003410792;0.339330204;Hypsav;0.45862069;0.634482759;0.178010471;0.086206897;-5.03785292;9.966892785;0.506;0.726
-Phanan;-4.907304692;12.9540152;0.379;0.549;0.551246537;0.609418283;0.160621762;0.113207547;-4.90266083;13.66282189;0.359;0.52;0.538461538;0.583333333;0.157894737;0.103448276;0.358623532;0.345784471;0.964199056;1.010557338;0.342172045;Phanan;0.528846154;0.573717949;0.164772727;0.101351351;-4.937673415;13.47858367;0.367;0.53
-Eptser;-4.637318472;9.757768523;0.476;0.701;0.409618574;0.645107794;0.208888889;0.097046414;-4.668976424;9.636573944;0.485;0.713;0.389344262;0.696721311;0.219895288;0.09202454;0.340165418;0.34949635;1.027430574;1.014447619;0.344518873;Eptser;0.403688525;0.668032787;0.211382114;0.094972067;-4.661646285;9.610032858;0.486;0.714
-piaf;-5.338582211;11.89500325;0.449;0.634;0.548523207;0.632911392;0.207407407;0.103092784;-5.221324425;12.27010585;0.426;0.605;0.527659574;0.617021277;0.183823529;0.134615385;0.372983698;0.365779941;0.980686136;1.010447805;0.361997858;piaf;0.531914894;0.604255319;0.172932331;0.138888889;-5.203402394;12.81563043;0.407;0.578
-Myobec;-6.727529403;52.83445897;0.128;0.169;0.731707317;0.731707317;0;0;-6.567545871;40.3518877;0.163;0.218;0.731707317;0.780487805;0.153846154;0;0.365853659;0.416510319;1.138461538;1.138461538;0.365853659;Myobec;0.731707317;0.731707317;0;0;-6.549456703;50.64935199;0.13;0.173
-Roeroe;-6.395548233;20.24459737;0.316;0.425;0.509433962;0.688679245;0.235294118;0.23255814;-6.949466798;30.28709394;0.23;0.302;0.583333333;0.766666667;0.242424242;0.125;0.416491366;0.429356061;1.030888262;1.105314481;0.38844697;Roeroe;0.566666667;0.65;0.212121212;0.125;-6.805784278;29.20411398;0.234;0.309
-Testes;-5.044777274;14.11676742;0.358;0.514;0.59223301;0.702265372;0.202531646;0.171171171;-5.180729882;16.00004712;0.324;0.462;0.545081967;0.676229508;0.177777778;0.168421053;0.4170503;0.391877576;0.939641038;0.99471782;0.393958536;Testes;0.56557377;0.655737705;0.203007519;0.151515152;-5.141041553;15.20004489;0.339;0.483
-Micagr;-7.30742752;38.18366444;0.192;0.249;0.567567568;0.648648649;0.2;0.133333333;-6.899576188;28.07090552;0.246;0.325;0.648648649;0.648648649;0.235294118;0.133333333;0.387387387;0.416481187;1.075102599;1.049305715;0.396911197;Micagr;0.567567568;0.648648649;0.238095238;0.133333333;-7.13431494;37.95591797;0.188;0.246
-Myoema;-5.341274303;12.47278151;0.429;0.605;0.526923077;0.719230769;0.245398773;0.098765432;-5.174513053;12.13193446;0.427;0.608;0.523076923;0.734615385;0.253012048;0.148148148;0.397579513;0.414713126;1.043094809;1.043094809;0.397579513;Myoema;0.526923077;0.719230769;0.245398773;0.098765432;-5.168960507;12.10225971;0.428;0.609
-Myodau;-4.917720513;15.43303043;0.319;0.462;0.595061728;0.659259259;0.226415094;0.103896104;-4.875952289;16.95513701;0.288;0.418;0.613941019;0.672922252;0.217391304;0.14084507;0.396158046;0.411274911;1.038158672;1.032239382;0.398429782;Myodau;0.605898123;0.664879357;0.222222222;0.100719424;-4.801623032;15.06157712;0.319;0.465
-Tadten;-5.544484677;17.16108333;0.324;0.452;0.605263158;0.642105263;0.257425743;0.15;-5.350025507;17.95305461;0.299;0.421;0.597883598;0.645502646;0.224489796;0.12987013;0.413698541;0.399436542;0.965525625;0.977931236;0.408450541;Tadten;0.597883598;0.634920635;0.232323232;0.168674699;-5.421962976;18.26248643;0.297;0.418
-Plaint;-5.547518332;17.38455457;0.32;0.446;0.570048309;0.739130435;0.293650794;0.068965517;-5.500372689;17.01768723;0.324;0.453;0.558375635;0.670050761;0.25;0.057971014;0.417948764;0.384099353;0.91901062;0.930534522;0.412772813;Plaint;0.553299492;0.736040609;0.290322581;0.071428571;-5.457312497;17.22904135;0.317;0.445
-Pipnat;-5.131325747;8.792229272;0.584;0.834;0.467787115;0.882352941;0.309090909;0.066666667;-5.166919202;8.992278526;0.575;0.819;0.425867508;0.858044164;0.274900398;0.134615385;0.431474408;0.423356864;0.981186499;1.010412073;0.418994265;Pipnat;0.425867508;0.883280757;0.291828794;0.075;-5.175554764;8.78127701;0.59;0.84
-noise;-3.256587804;10.62476011;0.307;0.514;0.493617021;0.839458414;0.262119504;0.246823956;-3.664800846;13.29531804;0.276;0.441;0.515489467;0.78314746;0.247353224;0.152542373;0.460504724;0.424633131;0.922103746;0.980282532;0.43317423;noise;0.519826518;0.799256506;0.264007597;0.149606299;-3.632179643;14.71461173;0.247;0.397
-Plasab;-6.83258536;44.73730748;0.153;0.202;0.769230769;0.974358974;0.357142857;0.8;-7.062938471;60.87514223;0.117;0.153;0.939393939;1;0.666666667;1;0.72518315;0.901515152;1.243155127;2.07860262;0.433712121;Plasab;0.727272727;0.757575758;0.25;0;-7.049037058;63.43853864;0.112;0.146
-Myomys;-5.507763046;17.82145051;0.31;0.433;0.606498195;0.736462094;0.273333333;0.197802198;-5.432337684;17.72688044;0.307;0.431;0.56133829;0.732342007;0.248407643;0.191011236;0.453523955;0.433274794;0.955351508;0.966865126;0.448123303;Myomys;0.594795539;0.73605948;0.268456376;0.193181818;-5.393767643;17.38505824;0.311;0.437
-Confus;-6.169639483;18.42093366;0.335;0.455;0.676767677;0.848484848;0.36;0.347826087;-6.952751002;47.33694267;0.147;0.194;0.630434783;0.891304348;0.291666667;0.375;0.558269653;0.547101449;0.979994965;1.172490294;0.466614907;Confus;0.630434783;0.760869565;0.260869565;0.214285714;-6.876458914;31.60435878;0.218;0.288
-Ptepon;-7.332424548;64.49138524;0.114;0.148;0.609756098;0.829268293;0.333333333;0.125;-7.082820808;47.05481086;0.151;0.198;0.609756098;0.756097561;0.304347826;0.090909091;0.474339431;0.440277644;0.928191112;0.928191112;0.474339431;Ptepon;0.609756098;0.829268293;0.333333333;0.125;-7.172669627;62.90935519;0.115;0.149
-Phogri;-4.456753937;12.95786701;0.344;0.514;0.701818182;0.887272727;0.305084746;0.261904762;-4.585179837;13.18820322;0.348;0.515;0.620283019;0.849056604;0.268181818;0.272727273;0.539020104;0.502562178;0.932362586;1.004408708;0.500356254;Phogri;0.627358491;0.870283019;0.300884956;0.202898551;-4.630113081;12.87022437;0.36;0.531
-Mussp;-6.750199027;19.24574917;0.351;0.465;0.660714286;0.839285714;0.344827586;0.181818182;-6.582703206;18.68706535;0.353;0.47;0.654545455;0.854545455;0.296296296;0.2;0.506661442;0.501346801;0.989510469;0.993969109;0.504388715;Mussp;0.654545455;0.836363636;0.344827586;0.181818182;-6.596767575;18.89450545;0.35;0.466
-Plaalb;-5.649746181;22.57201572;0.251;0.348;0.652920962;0.828178694;0.391566265;0.253731343;-5.514207527;22.73820373;0.243;0.34;0.692;0.828;0.3984375;0.25862069;0.531599316;0.544264547;1.02382477;1.066594672;0.510282455;Plaalb;0.628;0.812;0.371621622;0.229508197;-5.685222309;23.69551957;0.24;0.333
-Tyllil;-6.829023273;60.99570472;0.112;0.148;0.85;0.875;0.333333333;0;-6.706935787;61.38977365;0.11;0.146;0.85;0.85;0.142857143;0;0.514583333;0.460714286;0.895315211;0.895315211;0.514583333;Tyllil;0.85;0.875;0.333333333;0;-6.659825718;58.57251427;0.114;0.152
-Myoalc;-6.759437431;27.82530968;0.243;0.322;0.728571429;0.771428571;0.269230769;0.304347826;-6.718265713;26.44853222;0.255;0.338;0.720588235;0.75;0.387096774;0.19047619;0.518394649;0.5120403;0.987742256;0.994797389;0.514718178;Myoalc;0.720588235;0.764705882;0.269230769;0.304347826;-6.667536504;27.34986783;0.244;0.325
-Epheph;-5.60465571;21.54293117;0.261;0.363;0.720930233;0.813953488;0.376623377;0.238095238;-5.587189463;21.99282213;0.255;0.354;0.691275168;0.812080537;0.333333333;0.151515152;0.537400584;0.497051047;0.924917208;0.940313072;0.528601656;Epheph;0.704697987;0.798657718;0.38028169;0.230769231;-5.597321386;20.80170383;0.27;0.375
-Rhieur;-6.750800216;25.67017725;0.263;0.349;0.693548387;0.903225806;0.321428571;0.333333333;-6.609080848;23.93395239;0.277;0.368;0.580645161;0.806451613;0.277777778;0.2;0.562884025;0.466218638;0.828267667;0.837617387;0.556600956;Rhieur;0.693548387;0.903225806;0.296296296;0.333333333;-6.580831133;25.27691842;0.261;0.348
-Plaaff;-6.296266962;29.87082452;0.211;0.285;0.806818182;0.897727273;0.484848485;0.307692308;-6.531023615;30.95852806;0.211;0.282;0.796875;0.828125;0.434782609;0.153846154;0.624271562;0.553407191;0.886484704;0.989726233;0.559151786;Plaaff;0.734375;0.859375;0.392857143;0.25;-6.641111541;31.74061749;0.21;0.279
-MyoGT;-6.013132083;13.20420935;0.456;0.622;0.684684685;0.918918919;0.416666667;0.307692308;-5.912227382;13.0765132;0.453;0.621;0.682692308;0.884615385;0.365384615;0.294117647;0.581990644;0.556702489;0.956548862;0.980722839;0.567645074;MyoGT;0.663461538;0.913461538;0.385964912;0.307692308;-5.9330197;13.09016436;0.454;0.622
-Isopyr;-6.361463821;30.07422199;0.212;0.285;0.711711712;0.846846847;0.466666667;0.37037037;-6.19941515;31.5831722;0.197;0.266;0.636363636;0.848484848;0.379310345;0.318181818;0.598898899;0.545585162;0.910980406;0.918905907;0.593733436;Isopyr;0.676767677;0.858585859;0.448275862;0.391304348;-6.310680986;30.80716235;0.205;0.277
-Cyrscu;-6.763537187;55.63798439;0.122;0.162;0.835820896;0.910447761;0.45;0.142857143;-6.635833896;51.68529985;0.129;0.171;0.776119403;0.895522388;0.347826087;0.222222222;0.58478145;0.560422525;0.95834525;0.942783674;0.594433846;Cyrscu;0.850746269;0.910447761;0.473684211;0.142857143;-6.596618154;54.05258862;0.123;0.163
-Urorug;-6.177135085;33.51952723;0.185;0.25;0.73553719;0.842975207;0.396226415;0.366666667;-5.954931596;31.31543234;0.191;0.261;0.765217391;0.860869565;0.413043478;0.384615385;0.58535137;0.605936455;1.035167057;1.009464897;0.600255102;Urorug;0.747826087;0.852173913;0.408163265;0.392857143;-6.093067199;33.74516056;0.181;0.246
-Plemac;-6.927928622;34.32308744;0.202;0.266;0.828571429;0.914285714;0.454545455;0.25;-6.757381994;34.8871726;0.194;0.257;0.8;0.942857143;0.222222222;0.5;0.611850649;0.616269841;1.007222664;1.007222664;0.611850649;Plemac;0.828571429;0.914285714;0.454545455;0.25;-6.730987907;33.76365591;0.2;0.265
-Aposp;-6.427214849;17.75173966;0.363;0.486;0.731343284;0.910447761;0.419354839;0.4;-6.347590193;17.42238048;0.365;0.491;0.712121212;0.924242424;0.457142857;0.375;0.615286471;0.617126623;1.002990725;0.984131778;0.627077224;Aposp;0.712121212;0.909090909;0.387096774;0.5;-6.254850911;17.50488803;0.358;0.483
-Eupsp;-6.449263369;44.83019059;0.144;0.193;0.975609756;0.975609756;0;0;-6.390159464;46.90293532;0.137;0.184;0.975609756;1;0.666666667;NaN;0.487804878;0.880758808;1.805555556;1.33744856;0.658536585;Eupsp;0.975609756;1;0;NaN;-6.269735303;42.02284175;0.15;0.202
-Myocap;-5.595441093;26.84231882;0.209;0.291;0.860927152;0.947019868;0.603773585;0.333333333;-5.509789821;26.97579739;0.205;0.286;0.847682119;0.940397351;0.566037736;0.25;0.686263485;0.651029302;0.948657937;0.970075533;0.671111969;Myocap;0.860927152;0.947019868;0.603773585;0.272727273;-5.426781253;25.87586342;0.21;0.295
-Nyclas;-6.991660694;45.47414128;0.154;0.203;0.821428571;1;0.375;1;-7.19386406;63.34689222;0.114;0.149;0.769230769;0.961538462;0.4;0.666666667;0.799107143;0.699358974;0.875175476;0.904322084;0.773351648;Nyclas;0.807692308;1;0.285714286;1;-6.936656805;47.35606046;0.147;0.193
-Pleaur;-5.970916717;18.61510204;0.321;0.439;0.79245283;0.943396226;0.435897436;0.4;-6.005379095;19.61763268;0.307;0.419;0.797752809;0.988764045;0.454545455;0.666666667;0.642936623;0.726932244;1.130643702;0.934595917;0.777803787;Pleaur;0.853932584;0.988764045;0.518518519;0.75;-5.940304196;19.21162101;0.31;0.424
-Decalb;-6.26328128;41.46237641;0.152;0.205;0.918918919;0.972972973;0.666666667;0.666666667;-6.146747664;47.78079953;0.129;0.175;0.904109589;1;0.5;1;0.806306306;0.851027397;1.055464146;1.078247035;0.789269406;Decalb;0.917808219;0.97260274;0.666666667;0.6;-6.108989447;40.27878201;0.152;0.207
-Eptnil;-7.09881739;39.42396532;0.181;0.236;0.96;1;0.666666667;NaN;-6.900807963;40.69349629;0.17;0.224;1;1;1;NaN;0.875555556;1;1.14213198;1.14213198;0.875555556;Eptnil;0.96;1;0.666666667;NaN;-6.923361423;38.13078002;0.182;0.24
-Inssp7;-7.15594089;89.73266508;0.08;0.105;0.958333333;1;0.75;1;-6.810368524;64.66269367;0.106;0.14;1;1;1;1;0.927083333;1;1.078651685;1.107692308;0.902777778;Inssp7;0.958333333;1;0.75;NaN;-6.988297976;86.69935725;0.081;0.106
-Phofem;-6.284700415;37.71118876;0.167;0.225;0.987804878;1;0.875;1;-6.057110807;32.87618686;0.185;0.252;1;1;1;1;0.96570122;1;1.035516969;1.063400576;0.940379404;Phofem;0.987804878;1;0.833333333;NaN;-6.117618555;36.21632879;0.169;0.23
-amph;-6.613007553;29.60649332;0.224;0.298;1;1;NaN;NaN;-6.453524869;25.19228889;0.257;0.344;1;1;NaN;NaN;1;1;1;1;1;amph;1;1;NaN;NaN;-6.428283677;29.23542026;0.22;0.296
-Antius;-7.209034432;44.45763374;0.163;0.212;1;1;NaN;NaN;-7.093154616;62.64559091;0.114;0.149;1;1;NaN;NaN;1;1;1;1;1;Antius;1;1;NaN;NaN;-7.030447669;42.62283057;0.165;0.217
-Antped;-7.383650573;54.11490894;0.137;0.178;1;1;NaN;NaN;-7.366972966;95.90806245;0.077;0.1;1;1;NaN;NaN;1;1;1;1;1;Antped;1;1;NaN;NaN;-7.338949392;77.28965393;0.095;0.124
-Barfis;-7.280210474;79.98729907;0.092;0.119;1;1;NaN;NaN;-7.119002646;79.79382786;0.09;0.117;1;1;NaN;NaN;1;1;1;1;1;Barfis;1;1;NaN;NaN;-7.164452894;77.53293265;0.093;0.121
-Barser;-6.900683371;57.16826361;0.121;0.16;1;1;NaN;NaN;-6.747200288;67.29234702;0.101;0.133;1;1;NaN;NaN;1;1;1;1;1;Barser;1;1;NaN;NaN;-6.720980361;53.61251354;0.126;0.167
-Bicbic;-7.003205608;-42.11519506;Inf;Inf;1;1;NaN;NaN;-6.840974246;-3251.15631;Inf;Inf;1;1;NaN;NaN;1;1;1;1;1;Bicbic;1;1;NaN;NaN;-6.88877136;-34.19678581;Inf;Inf
-Concon;-7.03108139;9.716391437;0.724;0.95;1;1;NaN;NaN;-6.896771627;28.02818149;0.247;0.325;1;1;NaN;NaN;1;1;1;1;1;Concon;1;1;NaN;NaN;-6.837427338;0.725449539;Inf;Inf
-Corcho;-6.078521756;46.46199314;0.131;0.179;1;1;NaN;NaN;-5.943690586;58.34822938;0.102;0.14;1;1;NaN;NaN;1;1;1;1;1;Corcho;1;1;NaN;NaN;-5.896190668;43.50768289;0.136;0.187
-gril;-7.555488435;57.43438716;0.132;0.17;1;1;NaN;NaN;-7.314404425;53.32962265;0.138;0.179;1;1;NaN;NaN;1;1;1;1;1;gril;1;1;NaN;NaN;-7.374075354;55.22552599;0.134;0.174
-Lyrple;-7.395620042;44.41474239;0.167;0.216;1;1;1;1;-7.224794267;31.41678532;0.23;0.3;1;1;1;1;1;1;1;1;1;Lyrple;1;1;1;1;-7.218299801;43.07791371;0.168;0.219
-Metsau;-7.263224642;32.44449421;0.224;0.292;1;1;NaN;NaN;-7.167714665;52.63620533;0.137;0.178;1;1;NaN;NaN;1;1;1;1;1;Metsau;1;1;NaN;NaN;-7.077134949;26.37920707;0.269;0.352
-Myobra;-7.352433699;50.75933419;0.145;0.189;1;1;NaN;NaN;-7.175938172;49.8921739;0.144;0.188;1;1;NaN;NaN;1;1;1;1;1;Myobra;1;1;NaN;NaN;-7.173365265;48.37787777;0.149;0.194
-Phafal;-7.544411986;62.8376307;0.121;0.156;0.947368421;1;0.8;1;-7.721059773;59.19348597;0.131;0.168;1;1;1;1;0.936842105;1;1.06741573;1;1;Phafal;1;1;1;1;-7.751398334;62.73816799;0.124;0.159
-Ptebon;-7.104430767;-90.42057688;Inf;Inf;1;1;NaN;NaN;-6.864251121;-3122.119677;Inf;Inf;1;1;NaN;NaN;1;1;1;1;1;Ptebon;1;1;NaN;NaN;-6.909678589;-107.7304759;Inf;Inf
-Pteger;-6.806622284;87.05551581;0.079;0.104;1;1;1;1;-6.626389738;84.39747813;0.079;0.105;1;1;1;1;1;1;1;1;1;Pteger;1;1;1;1;-6.671816986;87.04908905;0.077;0.102
-Sepsep;-6.572236956;44.50635929;0.148;0.198;1;1;NaN;NaN;-6.457679388;46.23209872;0.14;0.188;0.970588235;1;0;NaN;1;0.656862745;0.656862745;0.656862745;1;Sepsep;1;1;NaN;NaN;-6.413986714;41.92249556;0.153;0.206
-Tetcan;-6.224979865;31.00464875;0.201;0.272;1;1;NaN;NaN;-6.073393155;34.28510365;0.178;0.242;1;1;NaN;NaN;1;1;1;1;1;Tetcan;1;1;NaN;NaN;-6.040290768;29.26243379;0.207;0.282
-Ratnor;-7.634127214;58.5655848;0.131;0.168;1;1;1;NaN;;;;;;;;;1;#DIV/0!;#DIV/0!;#DIV/0!;#DIV/0!;;;;;;;;;
diff -r 8c472c4f1bf5 -r eb19a5089b56 test-data/BilanEnrichiPF_Test1.tabular
--- a/test-data/BilanEnrichiPF_Test1.tabular Wed Mar 13 11:18:58 2019 -0400
+++ /dev/null Thu Jan 01 00:00:00 1970 +0000
@@ -1,1119 +0,0 @@
-nom du fichier tadarida_taxon temps_debut temps_fin frequence_mediane tadarida_probabilite tadarida_taxon_autre observateur_taxon observateur_probabilite validateur_taxon validateur_probabilite participation amph Antius Antped Antsor Aposp Barbar Barfis Barsan Barser Bicbic chirp Cicatr Cicorn Concon Confus Corcho criq Cympud Cyrscu Decalb Epheph Eptnil Eptser Eupsp gril Hypsav Insp11 Insp12 Inssp5 Inssp6 Inssp7 Inssp8 Inssp9 Isopyr Lamsp. Leppun Lyrple mamm Metsau Micagr Minsch Mussp Myoalc Myobec Myobra Myocap Myodas Myodau Myoema MyoGT Myomys Myonat noise Nyclas Nyclei Nycnoc Ortsp. Phafal Phanan Phofem Phogri piaf Pipkuh Pipnat Pippip Pippyg Plaaff Plaalb Plafal Plaint Plasab Pleaur Pleaus Plemac Ptebon Ptecor Pteger Ptepon Ratnor Rhieur Rhifer Rhihip Roeroe Rusnit Sepsep Tadten Testes Tetcan Tetpyg Tetvir Thycor Tyllil Urobre Urorug Vesmur Yerbey Yerray Zeuabb ProbEsp_C2bs IdScore IdProb IdV ConfV Session TimeNum IdExtrap TypeE
-Car470026-2017-Pass1-Z1-CEN2-S2U17907_20170620_212736_466 noise 0 3.4 8 0.54 piaf, Tetvir, Tadten, Phogri NA NA NA NA IdCor2La 0.014 0 0.002 0 0 0.002 0.008 0 0 0 0 0 0 0 0.002 0 0 0 0 0.008 0.006 0 0.004 0.002 0.018 0.002 0 0.02 0 0 0 0 0 0.002 0.016 0.012 0.006 0.01 0 0.002 0 0 0.022 0 0 0.002 0 0.004 0 0.002 0 0.006 0.32 0.006 0.024 0.006 0 0.012 0.018 0.016 0.016 0.072 0.004 0.004 0.01 0.006 0.008 0.006 0 0.01 0 0 0 0.002 0 0 0 0 0 0 0 0 0.022 0.004 0.002 0.018 0.01 0.004 0 0.22 0 0.002 0 0.002 0 0 0.004 0 noise 0.32 0.535772632896184 NA NA 20/06/2017 1497986856.466 noise 0
-Car470026-2017-Pass1-Z1-CEN2-S2U17907_20170620_214303_165 piaf 0 0.4 9 0.492 Phogri NA NA NA NA IdCor2La 0.016 0 0 0 0.046 0 0 0 0 0.002 0.002 0 0 0.002 0.002 0 0.002 0 0 0.022 0.002 0 0 0.004 0.046 0 0 0.004 0 0 0 0 0 0 0.004 0 0.002 0.014 0 0 0 0.002 0 0 0 0 0 0 0 0 0 0 0.046 0.006 0.002 0.002 0 0 0 0.082 0.014 0.608 0.004 0 0.012 0.002 0.002 0 0 0.002 0 0 0.002 0 0 0 0 0 0 0 0 0 0 0 0 0.002 0 0 0 0.038 0 0.002 0 0.002 0 0 0 0 piaf 0.608 0.869163154548341 NA NA 20/06/2017 1497987783.165 piaf 0
-Car470026-2017-Pass1-Z1-CEN2-S2U17907_20170620_220943_339 Tetvir 0 2.1 10 0.632 noise NA NA NA NA IdCor2La 0.006 0 0 0.024 0 0 0 0 0 0 0 0 0 0.002 0 0.002 0 0 0 0.006 0.002 0 0 0.016 0.002 0 0 0 0 0 0 0 0 0 0.002 0 0.002 0.002 0 0.002 0 0 0 0 0 0 0 0 0 0 0 0 0.038 0.002 0 0.002 0 0.002 0.006 0.008 0.01 0.01 0.002 0.002 0.006 0 0 0 0 0.006 0 0 0 0 0 0 0 0 0 0 0 0 0.004 0.002 0 0.002 0.002 0.004 0 0.82 0.002 0 0 0.002 0 0 0 0 Tetvir 0.82 0.994213383250455 NA NA 20/06/2017 1497989383.339 Tetvir 0
-Car470026-2017-Pass1-Z1-CEN2-S2U17907_20170620_220946_143 Tetvir 0 2.1 10 0.686 NA NA NA NA NA IdCor2La 0.006 0 0 0.018 0 0 0 0 0 0 0 0 0 0 0 0.002 0 0 0 0.006 0.002 0 0 0.016 0.002 0 0 0 0 0 0 0 0 0 0.002 0.002 0.002 0.002 0 0.002 0 0 0 0 0 0 0 0 0 0 0 0 0.036 0 0 0.002 0 0.004 0.006 0.008 0.008 0.01 0.004 0.002 0.004 0 0 0 0 0.01 0 0 0.002 0 0 0 0 0 0 0 0 0 0.004 0.002 0 0.002 0 0.004 0 0.828 0 0 0 0.002 0 0 0 0 Tetvir 0.828 0.994696495235809 NA NA 20/06/2017 1497989386.143 Tetvir 0
-Car470026-2017-Pass1-Z1-CEN2-S2U17907_20170620_220946_143 noise 2 2.1 22 0.628 NA NA NA NA NA IdCor2La 0.01 0 0.004 0 0.004 0 0.006 0 0 0 0 0 0 0 0.004 0 0 0 0.002 0.004 0.004 0 0.01 0.002 0.012 0.004 0 0.016 0 0.002 0 0 0 0.006 0.016 0.014 0.002 0.004 0 0.01 0.002 0.002 0.016 0 0 0 0 0.002 0 0.004 0 0.006 0.33 0.008 0.038 0.008 0 0.042 0.016 0.022 0.022 0.018 0.002 0.004 0.014 0.018 0.012 0.008 0.002 0.012 0 0.002 0.002 0.004 0 0 0.002 0 0 0 0.002 0 0.028 0.008 0 0.006 0.016 0.002 0 0.166 0 0.014 0 0.002 0 0 0.002 0 noise 0.33 0.562073868264103 NA NA 20/06/2017 1497989386.143 noise 0
-Car470026-2017-Pass1-Z1-CEN2-S2U17907_20170620_221112_677 Tetvir 0 2.5 10 0.574 noise, Phogri NA NA NA NA IdCor2La 0.006 0 0 0.02 0 0 0 0 0 0 0 0 0 0.002 0 0.002 0 0 0 0.006 0.002 0 0 0.016 0.002 0.002 0 0.002 0 0 0 0 0 0 0.002 0 0.002 0.002 0 0.002 0 0 0 0 0 0 0 0 0 0.002 0 0 0.046 0.002 0 0.002 0 0.002 0.006 0.004 0.01 0.012 0.002 0.002 0.006 0 0 0 0 0.006 0 0 0 0 0 0 0 0 0 0 0 0 0.004 0.004 0 0.002 0.002 0.004 0 0.808 0.002 0 0 0.002 0 0 0.002 0 Tetvir 0.808 0.993405516422875 NA NA 20/06/2017 1497989472.677 Tetvir 0
-Car470026-2017-Pass1-Z1-CEN2-S2U17907_20170620_221116_780 Tetvir 0 5 10 0.702 noise NA NA NA NA IdCor2La 0.006 0 0 0.022 0 0 0 0 0 0 0 0 0 0.002 0 0.002 0 0 0 0.008 0.002 0 0 0.018 0 0 0 0 0 0 0 0 0 0 0 0 0.002 0.002 0 0.002 0 0 0 0 0 0 0 0 0 0 0 0 0.016 0 0 0.002 0 0 0.004 0.002 0.01 0.008 0.002 0 0.004 0 0 0 0 0.004 0 0 0 0 0 0 0 0 0 0 0 0 0.008 0.002 0 0.002 0.002 0.004 0 0.86 0.002 0 0 0.002 0 0 0 0 Tetvir 0.86 0.996259292041315 NA NA 20/06/2017 1497989476.78 Tetvir 0
-Car470026-2017-Pass1-Z1-CEN2-S2U17907_20170620_221121_780 Tetvir 0 5 10 0.702 noise, Phogri NA NA NA NA IdCor2La 0.006 0 0 0.022 0 0 0 0 0 0 0 0 0 0.002 0 0.002 0 0 0 0.008 0.002 0 0 0.018 0 0 0 0 0 0 0 0 0 0 0 0 0.002 0.002 0 0.002 0 0 0 0 0 0 0 0 0 0 0 0 0.016 0 0 0.002 0 0 0.004 0.002 0.01 0.008 0.002 0 0.004 0 0 0 0 0.004 0 0 0 0 0 0 0 0 0 0 0 0 0.008 0.002 0 0.002 0.002 0.004 0 0.86 0.002 0 0 0.002 0 0 0 0 Tetvir 0.86 0.996259292041315 NA NA 20/06/2017 1497989481.78 Tetvir 0
-Car470026-2017-Pass1-Z1-CEN2-S2U17907_20170620_221126_780 Tetvir 0 1.2 10 0.644 NA NA NA NA NA IdCor2La 0.006 0 0 0.028 0 0 0 0 0 0 0 0 0 0.002 0 0.002 0 0 0 0.006 0.002 0 0 0.016 0.002 0 0 0 0 0 0 0 0 0 0.002 0 0.002 0.002 0 0.002 0 0 0 0 0 0 0 0 0 0 0 0 0.038 0.002 0 0.002 0 0.002 0.008 0.014 0.012 0.01 0.002 0.002 0.006 0 0 0 0 0.006 0 0 0 0 0 0 0 0 0 0 0 0 0.004 0.002 0 0.002 0.002 0.004 0 0.806 0.002 0 0 0.002 0 0 0 0 Tetvir 0.806 0.993260378297743 NA NA 20/06/2017 1497989486.78 Tetvir 0
-Car470026-2017-Pass1-Z1-CEN2-S2U17907_20170620_221127_981 Tetvir 0 5 10 0.7 noise NA NA NA NA IdCor2La 0.006 0 0 0.022 0 0 0 0 0 0 0 0 0 0 0 0.002 0 0 0 0.008 0.002 0 0 0.018 0 0 0 0 0 0 0 0 0 0 0 0.002 0.002 0.002 0 0.002 0 0 0 0 0 0 0 0 0 0 0 0 0.022 0 0 0.002 0 0.002 0.006 0.002 0.01 0.006 0.004 0 0.004 0 0 0 0 0.008 0 0 0 0 0 0 0 0 0 0 0 0 0.008 0.002 0 0.002 0 0.004 0 0.85 0 0 0 0.002 0 0 0 0 Tetvir 0.85 0.995827881603727 NA NA 20/06/2017 1497989487.981 Tetvir 0
-Car470026-2017-Pass1-Z1-CEN2-S2U17907_20170620_221127_981 noise 4.9 5 18 0.542 NA NA NA NA NA IdCor2La 0.008 0 0.002 0 0.002 0 0.004 0 0 0 0 0 0 0 0.004 0 0 0 0.002 0.004 0.006 0 0.008 0.002 0.006 0.004 0 0.022 0 0 0 0 0 0.008 0.02 0.012 0.002 0.002 0 0.01 0.002 0 0.014 0 0 0 0 0.002 0 0.004 0.002 0.006 0.33 0.004 0.042 0.008 0 0.042 0.026 0.022 0.02 0.016 0.004 0.004 0.014 0.02 0.018 0.01 0 0.012 0 0.002 0.004 0.004 0 0 0.002 0 0 0 0.002 0 0.026 0.008 0.002 0.006 0.01 0.002 0 0.162 0.002 0.014 0 0.002 0 0 0.002 0 noise 0.33 0.562073868264103 NA NA 20/06/2017 1497989487.981 noise 0
-Car470026-2017-Pass1-Z1-CEN2-S2U17907_20170620_221132_981 Tetvir 0 5 10 0.718 noise NA NA NA NA IdCor2La 0.006 0 0 0.02 0 0 0 0 0 0 0 0 0 0.002 0 0.002 0 0 0 0.008 0.002 0 0 0.018 0 0 0 0 0 0 0 0 0 0 0 0 0.002 0.002 0 0.002 0 0 0 0 0 0 0 0 0 0 0 0 0.014 0 0 0.002 0 0.002 0.004 0.002 0.008 0.008 0.002 0 0.002 0 0 0 0 0.004 0 0 0 0 0 0 0 0 0 0 0 0 0.008 0.002 0 0.002 0.002 0.004 0 0.866 0.002 0 0 0.002 0 0 0 0 Tetvir 0.866 0.996496495819795 NA NA 20/06/2017 1497989492.981 Tetvir 0
-Car470026-2017-Pass1-Z1-CEN2-S2U17907_20170620_221137_981 Tetvir 0 5 10 0.682 noise NA NA NA NA IdCor2La 0.006 0 0 0.024 0 0 0 0 0 0 0 0 0 0.002 0 0.002 0 0 0 0.006 0.002 0 0 0.018 0 0 0 0 0 0 0 0 0 0 0 0 0.002 0.002 0 0.002 0 0 0 0 0 0 0 0 0 0 0 0 0.016 0 0 0.002 0 0 0.004 0.002 0.006 0.008 0.002 0 0.004 0 0 0 0 0.006 0 0 0 0 0 0 0 0 0 0 0 0 0.008 0.002 0 0.002 0.002 0.004 0 0.862 0.002 0 0 0.002 0 0 0 0 Tetvir 0.862 0.996340086361075 NA NA 20/06/2017 1497989497.981 Tetvir 0
-Car470026-2017-Pass1-Z1-CEN2-S2U17907_20170620_221142_981 Tetvir 0 5 10 0.724 noise NA NA NA NA IdCor2La 0.006 0 0 0.02 0 0 0 0 0 0 0 0 0 0.002 0 0.002 0 0 0 0.008 0.002 0 0 0.018 0 0 0 0 0 0 0 0 0 0 0 0 0.002 0.002 0 0.002 0 0 0 0 0 0 0 0 0 0 0 0 0.014 0 0 0.002 0 0.002 0.004 0.002 0.008 0.008 0.002 0 0.002 0 0 0 0 0.004 0 0 0 0 0 0 0 0 0 0 0 0 0.008 0.002 0 0.002 0.002 0.004 0 0.866 0.002 0 0 0.002 0 0 0 0 Tetvir 0.866 0.996496495819795 NA NA 20/06/2017 1497989502.981 Tetvir 0
-Car470026-2017-Pass1-Z1-CEN2-S2U17907_20170620_221147_981 Tetvir 0 5 10 0.724 noise NA NA NA NA IdCor2La 0.006 0 0 0.02 0 0 0 0 0 0 0 0 0 0.002 0 0.002 0 0 0 0.008 0.002 0 0 0.018 0 0 0 0 0 0 0 0 0 0 0 0 0.002 0.002 0 0.002 0 0 0 0 0 0 0 0 0 0 0 0 0.014 0 0 0.002 0 0.002 0.004 0.002 0.008 0.008 0.002 0 0.002 0 0 0 0 0.004 0 0 0 0 0 0 0 0 0 0 0 0 0.008 0.002 0 0.002 0.002 0.004 0 0.866 0.002 0 0 0.002 0 0 0 0 Tetvir 0.866 0.996496495819795 NA NA 20/06/2017 1497989507.981 Tetvir 0
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-Car470026-2017-Pass1-Z1-CEN2-S2U17907_20170621_053844_437 noise 2 2.1 13 0.734 NA NA NA NA NA IdCor2La 0.018 0 0.002 0 0 0.002 0.006 0 0 0 0 0 0 0 0.004 0 0 0 0 0.006 0.006 0 0.008 0.002 0.016 0.004 0 0.012 0 0 0 0 0 0 0.014 0.01 0.002 0.016 0 0.004 0.002 0 0.01 0 0 0 0 0.004 0 0.006 0 0.008 0.38 0.002 0.018 0.01 0 0.01 0.012 0.016 0.018 0.064 0.002 0.002 0.01 0.008 0.006 0.006 0 0.01 0 0 0.002 0 0 0 0 0 0 0 0 0 0.014 0.008 0.002 0.01 0.008 0.004 0 0.198 0.002 0.008 0 0.004 0 0 0.004 0 noise 0.38 0.685857039399756 NA NA 20/06/2017 1498016324.437 noise 0
-Car470026-2017-Pass1-Z1-CEN2-S2U17907_20170621_054124_887 noise 2 2.1 15 0.746 NA NA NA NA NA IdCor2La 0.014 0 0.002 0 0.002 0.002 0.006 0 0 0 0 0 0 0 0.004 0 0 0 0 0.002 0.006 0 0.008 0.002 0.01 0.004 0 0.014 0 0 0 0 0 0 0.012 0.01 0.002 0.018 0 0.006 0.002 0 0.01 0 0 0 0 0.004 0 0.006 0 0.006 0.376 0.002 0.02 0.014 0 0.01 0.016 0.02 0.016 0.054 0.002 0.002 0.01 0.01 0.008 0.006 0 0.008 0 0.002 0.002 0 0 0 0.002 0 0 0 0 0 0.018 0.01 0.002 0.012 0.008 0.002 0 0.2 0.002 0.008 0 0.002 0 0 0.004 0 noise 0.376 0.676628814336669 NA NA 20/06/2017 1498016484.887 noise 0
-Car470026-2017-Pass1-Z1-CEN2-S2U17907_20170621_054133_351 noise 2 2.1 12 0.66 NA NA NA NA NA IdCor2La 0.016 0 0.002 0 0 0.002 0.006 0 0 0 0 0 0 0 0.004 0 0 0 0 0.006 0.006 0 0.008 0.002 0.016 0.004 0 0.014 0 0 0 0 0 0 0.014 0.01 0.002 0.01 0 0.004 0.002 0 0.012 0 0 0 0 0.004 0 0.004 0 0.006 0.38 0.004 0.016 0.008 0 0.01 0.014 0.014 0.02 0.064 0.002 0.004 0.01 0.008 0.006 0.006 0.002 0.008 0 0 0.002 0.002 0 0 0 0 0 0 0 0 0.014 0.008 0.002 0.014 0.008 0.004 0 0.2 0 0.008 0 0.004 0 0 0.004 0 noise 0.38 0.685857039399756 NA NA 20/06/2017 1498016493.351 noise 0
-Car470026-2017-Pass1-Z1-CEN2-S2U17907_20170621_054308_765 noise 0 0.4 9 0.362 Tetvir NA NA NA NA IdCor2La 0.016 0 0 0 0 0.002 0.006 0 0 0 0 0 0 0.002 0.002 0 0 0 0.002 0.006 0.006 0 0.004 0.002 0.022 0.002 0 0.012 0 0 0 0 0 0.004 0.022 0.01 0.004 0.008 0 0.006 0.002 0 0.024 0 0 0 0 0.004 0 0.002 0 0.004 0.322 0.006 0.018 0.014 0 0.006 0.012 0.028 0.02 0.098 0 0.004 0.016 0.004 0.01 0.008 0 0.004 0 0 0 0.002 0 0 0 0 0 0 0 0 0.016 0.008 0.002 0.018 0.006 0.004 0 0.178 0.006 0.01 0 0.004 0 0 0.002 0 noise 0.322 0.541053607285112 NA NA 20/06/2017 1498016588.765 noise 0
-Car470026-2017-Pass1-Z1-CEN2-S2U17907_20170621_054316_335 Nyclei 0 4.7 22 0.7 Eptser NA NA NA NA IdCor2La 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.002 0.004 0 0 0.002 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.008 0 0.944 0.014 0 0.002 0.002 0 0 0 0 0.006 0 0 0 0 0 0 0 0.002 0.002 0 0 0 0 0 0.006 0 0 0 0 0 0 0 0.002 0 0 0 0 0 0 0.002 0.002 0 0 0 Nyclei 0.944 0.993236981067305 NA NA 20/06/2017 1498016596.335 Nyclei 0
-Car470026-2017-Pass1-Z1-CEN2-S2U17907_20170621_054316_335 noise 0.1 4.7 8 0.486 Phogri NA NA NA NA IdCor2La 0.01 0 0 0 0 0 0.008 0 0 0 0 0 0 0.006 0 0 0 0 0.006 0.006 0.004 0 0.002 0.006 0.014 0 0 0.012 0 0 0 0 0 0.006 0.014 0.018 0.004 0.006 0 0 0 0 0.02 0 0 0.002 0 0.01 0.002 0.002 0 0 0.31 0.006 0.044 0.044 0 0.01 0.02 0.018 0.022 0.046 0.002 0.002 0.008 0.002 0.006 0.004 0 0.026 0 0 0.002 0 0 0 0 0 0 0.002 0 0 0.02 0.012 0.002 0.014 0.002 0.012 0 0.198 0 0.002 0 0 0.004 0 0.002 0 noise 0.31 0.50927089486752 NA NA 20/06/2017 1498016596.335 noise 0
-Car470026-2017-Pass1-Z1-CEN2-S2U17907_20170621_060329_050 noise 0 2.1 9 0.7 NA NA NA NA NA IdCor2La 0.018 0 0.002 0 0 0.002 0.01 0 0 0 0 0 0 0 0.006 0 0 0 0 0.006 0.006 0 0.004 0.002 0.016 0.01 0 0.014 0 0 0 0 0 0 0.014 0.012 0.002 0.016 0 0.004 0 0 0.02 0 0 0 0 0.004 0 0.002 0 0.008 0.304 0.006 0.022 0.008 0 0.012 0.016 0.018 0.028 0.068 0.002 0.004 0.008 0.006 0.006 0.004 0.004 0.01 0 0 0 0 0 0 0 0 0 0 0 0 0.014 0.004 0.002 0.026 0.01 0.004 0 0.224 0 0.004 0 0.004 0 0 0.004 0 noise 0.304 0.4933352121299 NA NA 20/06/2017 1498017809.05 noise 0
-Car470026-2017-Pass1-Z1-CEN2-S2U17907_20170621_060430_405 noise 0 0 7 0.506 NA NA NA NA NA IdCor2La 0.014 0 0 0 0 0.002 0.004 0 0 0 0 0 0 0.002 0.002 0 0 0 0 0.006 0.004 0 0.004 0.002 0.022 0.002 0 0.014 0 0 0 0 0 0.002 0.016 0.01 0.006 0.01 0 0.004 0.002 0 0.012 0 0 0 0 0.004 0 0.002 0 0.006 0.402 0.004 0.014 0.01 0 0.01 0.018 0.014 0.018 0.068 0.004 0.004 0.01 0.01 0.008 0.008 0 0.006 0 0 0.002 0.002 0 0 0 0 0 0 0 0 0.012 0.006 0.002 0.012 0.008 0.004 0 0.178 0 0.008 0 0.002 0 0 0.004 0 noise 0.402 0.73391272469081 NA NA 20/06/2017 1498017870.405 noise 0
-Car470026-2017-Pass1-Z1-CEN2-S2U17907_20170621_061402_174 noise 0 0.9 9 0.594 NA NA NA NA NA IdCor2La 0.016 0 0.002 0 0 0.002 0.006 0 0 0 0 0 0 0 0.002 0 0 0 0 0.006 0.008 0 0.004 0.002 0.02 0.008 0 0.014 0 0 0 0 0 0 0.016 0.006 0.002 0.01 0 0.004 0.002 0 0.02 0 0 0 0 0.006 0 0.002 0 0.006 0.336 0.004 0.022 0.008 0 0.01 0.016 0.016 0.02 0.058 0.004 0.004 0.01 0.006 0.01 0.008 0 0.008 0 0 0 0.002 0 0 0 0 0 0 0 0 0.018 0.004 0.002 0.018 0.01 0.004 0 0.224 0.002 0.004 0 0.004 0 0 0.004 0 noise 0.336 0.57769825618107 NA NA 20/06/2017 1498018442.174 noise 0
-Car470026-2017-Pass1-Z1-CEN2-S2U17907_20170621_063430_091 piaf 0 1.6 9 0.796 noise NA NA NA NA IdCor2La 0.01 0 0 0 0.042 0 0 0 0 0.002 0.002 0 0 0 0 0 0 0.002 0 0.014 0.002 0 0 0.006 0.036 0 0 0 0 0 0 0 0 0 0.002 0 0 0.014 0 0 0 0.002 0 0 0 0 0 0 0 0 0 0 0.05 0.004 0.002 0.002 0 0 0 0.06 0.014 0.666 0.002 0 0.014 0.002 0.002 0 0 0.002 0 0 0.002 0 0 0 0 0 0 0.002 0 0 0.002 0 0 0.002 0 0 0 0.036 0 0 0 0.002 0 0 0 0 piaf 0.666 0.92979143291633 NA NA 20/06/2017 1498019670.091 piaf 0
-Car470026-2017-Pass1-Z1-CEN2-S2U17907_20170621_063507_131 piaf 0 0 7 0.75 NA NA NA NA NA IdCor2La 0.012 0 0 0 0.042 0 0 0 0 0.002 0.002 0 0 0 0.002 0 0 0 0 0.022 0.002 0 0 0.006 0.04 0 0 0 0 0 0 0 0 0 0.002 0 0 0.014 0 0 0 0.002 0 0 0 0 0 0 0 0 0 0 0.052 0.004 0.002 0.002 0 0 0 0.068 0.014 0.652 0.004 0 0.01 0.002 0.002 0 0 0.002 0 0 0.002 0 0 0 0 0 0 0.002 0 0 0 0 0 0 0 0 0 0.032 0 0 0 0.002 0 0 0 0 piaf 0.652 0.91811147225151 NA NA 20/06/2017 1498019707.131 piaf 0
diff -r 8c472c4f1bf5 -r eb19a5089b56 test-data/IdCor2Layer_Test1_out.tabular
--- a/test-data/IdCor2Layer_Test1_out.tabular Wed Mar 13 11:18:58 2019 -0400
+++ /dev/null Thu Jan 01 00:00:00 1970 +0000
@@ -1,1120 +0,0 @@
-nom du fichier tadarida_taxon temps_debut temps_fin frequence_mediane tadarida_probabilite tadarida_taxon_autre observateur_taxon observateur_probabilite validateur_taxon validateur_probabilite participation amph Antius Antped Antsor Aposp Barbar Barfis Barsan Barser Bicbic chirp Cicatr Cicorn Concon Confus Corcho criq Cympud Cyrscu Decalb Epheph Eptnil Eptser Eupsp gril Hypsav Insp11 Insp12 Inssp5 Inssp6 Inssp7 Inssp8 Inssp9 Isopyr Lamsp. Leppun Lyrple mamm Metsau Micagr Minsch Mussp Myoalc Myobec Myobra Myocap Myodas Myodau Myoema MyoGT Myomys Myonat noise Nyclas Nyclei Nycnoc Ortsp. Phafal Phanan Phofem Phogri piaf Pipkuh Pipnat Pippip Pippyg Plaaff Plaalb Plafal Plaint Plasab Pleaur Pleaus Plemac Ptebon Ptecor Pteger Ptepon Ratnor Rhieur Rhifer Rhihip Roeroe Rusnit Sepsep Tadten Testes Tetcan Tetpyg Tetvir Thycor Tyllil Urobre Urorug Vesmur Yerbey Yerray Zeuabb ProbEsp_C2bs
-Car470026-2017-Pass1-Z1-CEN2-S2U17907_20170620_212736_466 noise 0 3.4 8 0.54 piaf, Tetvir, Tadten, Phogri NA NA NA NA IdCor2La 0.014 0 0.002 0 0 0.002 0.008 0 0 0 0 0 0 0 0.002 0 0 0 0 0.008 0.006 0 0.004 0.002 0.018 0.002 0 0.02 0 0 0 0 0 0.002 0.016 0.012 0.006 0.01 0 0.002 0 0 0.022 0 0 0.002 0 0.004 0 0.002 0 0.006 0.32 0.006 0.024 0.006 0 0.012 0.018 0.016 0.016 0.072 0.004 0.004 0.01 0.006 0.008 0.006 0 0.01 0 0 0 0.002 0 0 0 0 0 0 0 0 0.022 0.004 0.002 0.018 0.01 0.004 0 0.22 0 0.002 0 0.002 0 0 0.004 0 noise
-Car470026-2017-Pass1-Z1-CEN2-S2U17907_20170620_214303_165 piaf 0 0.4 9 0.492 Phogri NA NA NA NA IdCor2La 0.016 0 0 0 0.046 0 0 0 0 0.002 0.002 0 0 0.002 0.002 0 0.002 0 0 0.022 0.002 0 0 0.004 0.046 0 0 0.004 0 0 0 0 0 0 0.004 0 0.002 0.014 0 0 0 0.002 0 0 0 0 0 0 0 0 0 0 0.046 0.006 0.002 0.002 0 0 0 0.082 0.014 0.608 0.004 0 0.012 0.002 0.002 0 0 0.002 0 0 0.002 0 0 0 0 0 0 0 0 0 0 0 0 0.002 0 0 0 0.038 0 0.002 0 0.002 0 0 0 0 piaf
-Car470026-2017-Pass1-Z1-CEN2-S2U17907_20170620_220943_339 Tetvir 0 2.1 10 0.632 noise NA NA NA NA IdCor2La 0.006 0 0 0.024 0 0 0 0 0 0 0 0 0 0.002 0 0.002 0 0 0 0.006 0.002 0 0 0.016 0.002 0 0 0 0 0 0 0 0 0 0.002 0 0.002 0.002 0 0.002 0 0 0 0 0 0 0 0 0 0 0 0 0.038 0.002 0 0.002 0 0.002 0.006 0.008 0.01 0.01 0.002 0.002 0.006 0 0 0 0 0.006 0 0 0 0 0 0 0 0 0 0 0 0 0.004 0.002 0 0.002 0.002 0.004 0 0.82 0.002 0 0 0.002 0 0 0 0 Tetvir
-Car470026-2017-Pass1-Z1-CEN2-S2U17907_20170620_220946_143 Tetvir 0 2.1 10 0.686 NA NA NA NA NA IdCor2La 0.006 0 0 0.018 0 0 0 0 0 0 0 0 0 0 0 0.002 0 0 0 0.006 0.002 0 0 0.016 0.002 0 0 0 0 0 0 0 0 0 0.002 0.002 0.002 0.002 0 0.002 0 0 0 0 0 0 0 0 0 0 0 0 0.036 0 0 0.002 0 0.004 0.006 0.008 0.008 0.01 0.004 0.002 0.004 0 0 0 0 0.01 0 0 0.002 0 0 0 0 0 0 0 0 0 0.004 0.002 0 0.002 0 0.004 0 0.828 0 0 0 0.002 0 0 0 0 Tetvir
-Car470026-2017-Pass1-Z1-CEN2-S2U17907_20170620_220946_143 noise 2 2.1 22 0.628 NA NA NA NA NA IdCor2La 0.01 0 0.004 0 0.004 0 0.006 0 0 0 0 0 0 0 0.004 0 0 0 0.002 0.004 0.004 0 0.01 0.002 0.012 0.004 0 0.016 0 0.002 0 0 0 0.006 0.016 0.014 0.002 0.004 0 0.01 0.002 0.002 0.016 0 0 0 0 0.002 0 0.004 0 0.006 0.33 0.008 0.038 0.008 0 0.042 0.016 0.022 0.022 0.018 0.002 0.004 0.014 0.018 0.012 0.008 0.002 0.012 0 0.002 0.002 0.004 0 0 0.002 0 0 0 0.002 0 0.028 0.008 0 0.006 0.016 0.002 0 0.166 0 0.014 0 0.002 0 0 0.002 0 noise
-Car470026-2017-Pass1-Z1-CEN2-S2U17907_20170620_221112_677 Tetvir 0 2.5 10 0.574 noise, Phogri NA NA NA NA IdCor2La 0.006 0 0 0.02 0 0 0 0 0 0 0 0 0 0.002 0 0.002 0 0 0 0.006 0.002 0 0 0.016 0.002 0.002 0 0.002 0 0 0 0 0 0 0.002 0 0.002 0.002 0 0.002 0 0 0 0 0 0 0 0 0 0.002 0 0 0.046 0.002 0 0.002 0 0.002 0.006 0.004 0.01 0.012 0.002 0.002 0.006 0 0 0 0 0.006 0 0 0 0 0 0 0 0 0 0 0 0 0.004 0.004 0 0.002 0.002 0.004 0 0.808 0.002 0 0 0.002 0 0 0.002 0 Tetvir
-Car470026-2017-Pass1-Z1-CEN2-S2U17907_20170620_221116_780 Tetvir 0 5 10 0.702 noise NA NA NA NA IdCor2La 0.006 0 0 0.022 0 0 0 0 0 0 0 0 0 0.002 0 0.002 0 0 0 0.008 0.002 0 0 0.018 0 0 0 0 0 0 0 0 0 0 0 0 0.002 0.002 0 0.002 0 0 0 0 0 0 0 0 0 0 0 0 0.016 0 0 0.002 0 0 0.004 0.002 0.01 0.008 0.002 0 0.004 0 0 0 0 0.004 0 0 0 0 0 0 0 0 0 0 0 0 0.008 0.002 0 0.002 0.002 0.004 0 0.86 0.002 0 0 0.002 0 0 0 0 Tetvir
-Car470026-2017-Pass1-Z1-CEN2-S2U17907_20170620_221121_780 Tetvir 0 5 10 0.702 noise, Phogri NA NA NA NA IdCor2La 0.006 0 0 0.022 0 0 0 0 0 0 0 0 0 0.002 0 0.002 0 0 0 0.008 0.002 0 0 0.018 0 0 0 0 0 0 0 0 0 0 0 0 0.002 0.002 0 0.002 0 0 0 0 0 0 0 0 0 0 0 0 0.016 0 0 0.002 0 0 0.004 0.002 0.01 0.008 0.002 0 0.004 0 0 0 0 0.004 0 0 0 0 0 0 0 0 0 0 0 0 0.008 0.002 0 0.002 0.002 0.004 0 0.86 0.002 0 0 0.002 0 0 0 0 Tetvir
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-Car470026-2017-Pass1-Z1-CEN2-S2U17907_20170621_053207_227 noise 2.8 2.9 12 0.634 NA NA NA NA NA IdCor2La 0.016 0 0.002 0 0 0.002 0.006 0 0 0 0 0 0 0 0.004 0 0 0 0 0.008 0.006 0 0.008 0.002 0.016 0.004 0 0.014 0 0 0 0 0 0 0.014 0.01 0.002 0.01 0 0.004 0.002 0 0.012 0 0 0 0 0.004 0 0.004 0 0.006 0.384 0.004 0.016 0.008 0 0.01 0.014 0.014 0.02 0.056 0.002 0.004 0.01 0.008 0.006 0.006 0.002 0.008 0 0 0.002 0.002 0 0 0 0 0 0 0 0 0.014 0.008 0.002 0.014 0.008 0.004 0 0.202 0 0.008 0 0.004 0 0 0.004 0 noise
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-Car470026-2017-Pass1-Z1-CEN2-S2U17907_20170621_053309_640 noise 2 2.1 12 0.656 NA NA NA NA NA IdCor2La 0.016 0 0.002 0 0 0.002 0.006 0 0 0 0 0 0 0 0.004 0 0 0 0 0.008 0.006 0 0.008 0.002 0.016 0.004 0 0.014 0 0 0 0 0 0 0.014 0.01 0.002 0.01 0 0.004 0.002 0 0.012 0 0 0 0 0.004 0 0.004 0 0.006 0.378 0.004 0.016 0.008 0 0.01 0.014 0.014 0.02 0.064 0.002 0.004 0.01 0.008 0.006 0.006 0.002 0.008 0 0 0.002 0.002 0 0 0 0 0 0 0 0 0.014 0.008 0.002 0.014 0.008 0.004 0 0.2 0 0.008 0 0.004 0 0 0.004 0 noise
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-Car470026-2017-Pass1-Z1-CEN2-S2U17907_20170621_053525_029 noise 2 2.1 11 0.66 NA NA NA NA NA IdCor2La 0.016 0 0.002 0 0 0.002 0.006 0 0 0 0 0 0 0 0.004 0 0 0 0 0.006 0.006 0 0.008 0.002 0.014 0.004 0 0.014 0 0 0 0 0 0 0.014 0.01 0.002 0.01 0 0.004 0.002 0 0.012 0 0 0 0 0.004 0 0.004 0 0.006 0.382 0.004 0.014 0.008 0 0.01 0.014 0.014 0.02 0.066 0.002 0.004 0.01 0.008 0.006 0.006 0.002 0.008 0 0 0 0.002 0 0 0 0 0 0 0 0 0.014 0.008 0.002 0.016 0.008 0.004 0 0.2 0 0.008 0 0.004 0 0 0.004 0 noise
-Car470026-2017-Pass1-Z1-CEN2-S2U17907_20170621_053556_491 noise 2 2.1 17 0.736 NA NA NA NA NA IdCor2La 0.01 0 0.002 0 0.002 0.002 0.006 0 0 0 0 0 0 0 0.004 0 0 0 0 0.002 0.006 0 0.01 0.002 0.01 0.004 0 0.016 0 0 0 0 0 0 0.012 0.01 0.002 0.008 0 0.008 0.002 0 0.012 0 0 0 0 0.004 0 0.006 0 0.008 0.374 0.002 0.022 0.014 0 0.01 0.016 0.02 0.016 0.046 0.004 0.002 0.012 0.008 0.01 0.006 0 0.008 0 0.002 0.002 0.002 0 0 0.002 0 0 0 0 0 0.022 0.008 0.002 0.012 0.008 0.002 0 0.2 0.002 0.012 0 0.002 0 0 0.004 0 noise
-Car470026-2017-Pass1-Z1-CEN2-S2U17907_20170621_053844_437 noise 2 2.1 13 0.734 NA NA NA NA NA IdCor2La 0.018 0 0.002 0 0 0.002 0.006 0 0 0 0 0 0 0 0.004 0 0 0 0 0.006 0.006 0 0.008 0.002 0.016 0.004 0 0.012 0 0 0 0 0 0 0.014 0.01 0.002 0.016 0 0.004 0.002 0 0.01 0 0 0 0 0.004 0 0.006 0 0.008 0.38 0.002 0.018 0.01 0 0.01 0.012 0.016 0.018 0.064 0.002 0.002 0.01 0.008 0.006 0.006 0 0.01 0 0 0.002 0 0 0 0 0 0 0 0 0 0.014 0.008 0.002 0.01 0.008 0.004 0 0.198 0.002 0.008 0 0.004 0 0 0.004 0 noise
-Car470026-2017-Pass1-Z1-CEN2-S2U17907_20170621_054124_887 noise 2 2.1 15 0.746 NA NA NA NA NA IdCor2La 0.014 0 0.002 0 0.002 0.002 0.006 0 0 0 0 0 0 0 0.004 0 0 0 0 0.002 0.006 0 0.008 0.002 0.01 0.004 0 0.014 0 0 0 0 0 0 0.012 0.01 0.002 0.018 0 0.006 0.002 0 0.01 0 0 0 0 0.004 0 0.006 0 0.006 0.376 0.002 0.02 0.014 0 0.01 0.016 0.02 0.016 0.054 0.002 0.002 0.01 0.01 0.008 0.006 0 0.008 0 0.002 0.002 0 0 0 0.002 0 0 0 0 0 0.018 0.01 0.002 0.012 0.008 0.002 0 0.2 0.002 0.008 0 0.002 0 0 0.004 0 noise
-Car470026-2017-Pass1-Z1-CEN2-S2U17907_20170621_054133_351 noise 2 2.1 12 0.66 NA NA NA NA NA IdCor2La 0.016 0 0.002 0 0 0.002 0.006 0 0 0 0 0 0 0 0.004 0 0 0 0 0.006 0.006 0 0.008 0.002 0.016 0.004 0 0.014 0 0 0 0 0 0 0.014 0.01 0.002 0.01 0 0.004 0.002 0 0.012 0 0 0 0 0.004 0 0.004 0 0.006 0.38 0.004 0.016 0.008 0 0.01 0.014 0.014 0.02 0.064 0.002 0.004 0.01 0.008 0.006 0.006 0.002 0.008 0 0 0.002 0.002 0 0 0 0 0 0 0 0 0.014 0.008 0.002 0.014 0.008 0.004 0 0.2 0 0.008 0 0.004 0 0 0.004 0 noise
-Car470026-2017-Pass1-Z1-CEN2-S2U17907_20170621_054308_765 noise 0 0.4 9 0.362 Tetvir NA NA NA NA IdCor2La 0.016 0 0 0 0 0.002 0.006 0 0 0 0 0 0 0.002 0.002 0 0 0 0.002 0.006 0.006 0 0.004 0.002 0.022 0.002 0 0.012 0 0 0 0 0 0.004 0.022 0.01 0.004 0.008 0 0.006 0.002 0 0.024 0 0 0 0 0.004 0 0.002 0 0.004 0.322 0.006 0.018 0.014 0 0.006 0.012 0.028 0.02 0.098 0 0.004 0.016 0.004 0.01 0.008 0 0.004 0 0 0 0.002 0 0 0 0 0 0 0 0 0.016 0.008 0.002 0.018 0.006 0.004 0 0.178 0.006 0.01 0 0.004 0 0 0.002 0 noise
-Car470026-2017-Pass1-Z1-CEN2-S2U17907_20170621_054316_335 Nyclei 0 4.7 22 0.7 Eptser NA NA NA NA IdCor2La 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.002 0.004 0 0 0.002 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.008 0 0.944 0.014 0 0.002 0.002 0 0 0 0 0.006 0 0 0 0 0 0 0 0.002 0.002 0 0 0 0 0 0.006 0 0 0 0 0 0 0 0.002 0 0 0 0 0 0 0.002 0.002 0 0 0 Nyclei
-Car470026-2017-Pass1-Z1-CEN2-S2U17907_20170621_054316_335 noise 0.1 4.7 8 0.486 Phogri NA NA NA NA IdCor2La 0.01 0 0 0 0 0 0.008 0 0 0 0 0 0 0.006 0 0 0 0 0.006 0.006 0.004 0 0.002 0.006 0.014 0 0 0.012 0 0 0 0 0 0.006 0.014 0.018 0.004 0.006 0 0 0 0 0.02 0 0 0.002 0 0.01 0.002 0.002 0 0 0.31 0.006 0.044 0.044 0 0.01 0.02 0.018 0.022 0.046 0.002 0.002 0.008 0.002 0.006 0.004 0 0.026 0 0 0.002 0 0 0 0 0 0 0.002 0 0 0.02 0.012 0.002 0.014 0.002 0.012 0 0.198 0 0.002 0 0 0.004 0 0.002 0 noise
-Car470026-2017-Pass1-Z1-CEN2-S2U17907_20170621_060329_050 noise 0 2.1 9 0.7 NA NA NA NA NA IdCor2La 0.018 0 0.002 0 0 0.002 0.01 0 0 0 0 0 0 0 0.006 0 0 0 0 0.006 0.006 0 0.004 0.002 0.016 0.01 0 0.014 0 0 0 0 0 0 0.014 0.012 0.002 0.016 0 0.004 0 0 0.02 0 0 0 0 0.004 0 0.002 0 0.008 0.304 0.006 0.022 0.008 0 0.012 0.016 0.018 0.028 0.068 0.002 0.004 0.008 0.006 0.006 0.004 0.004 0.01 0 0 0 0 0 0 0 0 0 0 0 0 0.014 0.004 0.002 0.026 0.01 0.004 0 0.224 0 0.004 0 0.004 0 0 0.004 0 noise
-Car470026-2017-Pass1-Z1-CEN2-S2U17907_20170621_060430_405 noise 0 0 7 0.506 NA NA NA NA NA IdCor2La 0.014 0 0 0 0 0.002 0.004 0 0 0 0 0 0 0.002 0.002 0 0 0 0 0.006 0.004 0 0.004 0.002 0.022 0.002 0 0.014 0 0 0 0 0 0.002 0.016 0.01 0.006 0.01 0 0.004 0.002 0 0.012 0 0 0 0 0.004 0 0.002 0 0.006 0.402 0.004 0.014 0.01 0 0.01 0.018 0.014 0.018 0.068 0.004 0.004 0.01 0.01 0.008 0.008 0 0.006 0 0 0.002 0.002 0 0 0 0 0 0 0 0 0.012 0.006 0.002 0.012 0.008 0.004 0 0.178 0 0.008 0 0.002 0 0 0.004 0 noise
-Car470026-2017-Pass1-Z1-CEN2-S2U17907_20170621_061402_174 noise 0 0.9 9 0.594 NA NA NA NA NA IdCor2La 0.016 0 0.002 0 0 0.002 0.006 0 0 0 0 0 0 0 0.002 0 0 0 0 0.006 0.008 0 0.004 0.002 0.02 0.008 0 0.014 0 0 0 0 0 0 0.016 0.006 0.002 0.01 0 0.004 0.002 0 0.02 0 0 0 0 0.006 0 0.002 0 0.006 0.336 0.004 0.022 0.008 0 0.01 0.016 0.016 0.02 0.058 0.004 0.004 0.01 0.006 0.01 0.008 0 0.008 0 0 0 0.002 0 0 0 0 0 0 0 0 0.018 0.004 0.002 0.018 0.01 0.004 0 0.224 0.002 0.004 0 0.004 0 0 0.004 0 noise
-Car470026-2017-Pass1-Z1-CEN2-S2U17907_20170621_063430_091 piaf 0 1.6 9 0.796 noise NA NA NA NA IdCor2La 0.01 0 0 0 0.042 0 0 0 0 0.002 0.002 0 0 0 0 0 0 0.002 0 0.014 0.002 0 0 0.006 0.036 0 0 0 0 0 0 0 0 0 0.002 0 0 0.014 0 0 0 0.002 0 0 0 0 0 0 0 0 0 0 0.05 0.004 0.002 0.002 0 0 0 0.06 0.014 0.666 0.002 0 0.014 0.002 0.002 0 0 0.002 0 0 0.002 0 0 0 0 0 0 0.002 0 0 0.002 0 0 0.002 0 0 0 0.036 0 0 0 0.002 0 0 0 0 piaf
-Car470026-2017-Pass1-Z1-CEN2-S2U17907_20170621_063507_131 piaf 0 0 7 0.75 NA NA NA NA NA IdCor2La 0.012 0 0 0 0.042 0 0 0 0 0.002 0.002 0 0 0 0.002 0 0 0 0 0.022 0.002 0 0 0.006 0.04 0 0 0 0 0 0 0 0 0 0.002 0 0 0.014 0 0 0 0.002 0 0 0 0 0 0 0 0 0 0 0.052 0.004 0.002 0.002 0 0 0 0.068 0.014 0.652 0.004 0 0.01 0.002 0.002 0 0 0.002 0 0 0.002 0 0 0 0 0 0 0.002 0 0 0 0 0 0 0 0 0 0.032 0 0 0 0.002 0 0 0 0 piaf
diff -r 8c472c4f1bf5 -r eb19a5089b56 test-data/IdValidTidy.tabular
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/IdValidTidy.tabular Fri Apr 26 12:21:27 2019 -0400
@@ -0,0 +1,1837 @@
+"nom du fichier" "temps_debut" "temps_fin" "frequence_mediane" "tadarida_taxon" "tadarida_probabilite" "tadarida_taxon_autre" "observateur_taxon" "observateur_probabilite" "validateur_taxon" "validateur_probabilite" "participation" "IdProb" "IdV" "ConfV" "Session" "TimeNum" "IdExtrap" "TypeE"
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+"Cir750016-2016-Pass1-Tron1-Chiro_0_00080_000" 0.3 0.5 83 "noise" 0.85 "" "" "" "" "" "input_t" 0.85 "" "" 1 880 "noise" 0
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diff -r 8c472c4f1bf5 -r eb19a5089b56 test-data/output_tidy.tabular
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/output_tidy.tabular Fri Apr 26 12:21:27 2019 -0400
@@ -0,0 +1,1837 @@
+"nom du fichier" "temps_debut" "temps_fin" "frequence_mediane" "tadarida_taxon" "tadarida_probabilite" "tadarida_taxon_autre" "observateur_taxon" "observateur_probabilite" "validateur_taxon" "validateur_probabilite" "participation"
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+"Cir750016-2016-Pass1-Tron9-Chiro_1_00090_000" 2.9 4.1 10 "noise" 0.96 "" NA NA NA NA "input_t"
+"Cir750016-2016-Pass1-Tron9-Chiro_1_00095_000" 1 5 9 "noise" 0.96 "" NA NA NA NA "input_t"
+"Cir750016-2016-Pass1-Tron9-Chiro_1_00100_000" 1 3.8 9 "noise" 0.96 "" NA NA NA NA "input_t"
+"Cir750016-2016-Pass1-Tron9-Chiro_1_00105_000" 0.4 5 12 "noise" 0.89 "" NA NA NA NA "input_t"
+"Cir750016-2016-Pass1-Tron9-Chiro_1_00110_000" 0.3 4.9 14 "noise" 0.97 "" NA NA NA NA "input_t"
+"Cir750016-2016-Pass1-Tron9-Chiro_1_00115_000" 0 1.6 15 "noise" 0.99 "" NA NA NA NA "input_t"
+"Cir750016-2016-Pass1-Tron9-Chiro_1_00120_000" 1.6 2.9 11 "noise" 0.98 "" NA NA NA NA "input_t"
+"Cir750016-2016-Pass1-Tron9-Chiro_1_00125_000" 1 4 9 "noise" 0.98 "" NA NA NA NA "input_t"
+"Cir750016-2016-Pass1-Tron9-Chiro_1_00130_000" 0.6 1.9 9 "noise" 0.98 "" NA NA NA NA "input_t"
+"Cir750016-2016-Pass1-Tron9-Chiro_1_00135_000" 0.2 2.3 10 "noise" 0.96 "" NA NA NA NA "input_t"
+"Cir750016-2016-Pass1-Tron9-Chiro_1_00140_000" 4.1 4.5 10 "noise" 0.74 "" NA NA NA NA "input_t"
+"Cir750016-2016-Pass1-Tron9-Chiro_1_00140_000" 4.2 4.3 14 "Pipkuh" 0.03 "Tetvir, Phogri, mamm" NA NA NA NA "input_t"
+"Cir750016-2016-Pass1-Tron9-Chiro_1_00145_000" 1.7 4.6 9 "noise" 0.92 "" NA NA NA NA "input_t"
+"Cir750016-2016-Pass1-Tron9-Chiro_1_00150_000" 0.8 2.2 12 "noise" 0.99 "" NA NA NA NA "input_t"
+"Cir750016-2016-Pass1-Tron9-Chiro_1_00155_000" 0.3 4.6 10 "noise" 0.99 "" NA NA NA NA "input_t"
+"Cir750016-2016-Pass1-Tron9-Chiro_1_00160_000" 0.7 4.2 14 "noise" 0.94 "" NA NA NA NA "input_t"
+"Cir750016-2016-Pass1-Tron9-Chiro_1_00165_000" 3 3.1 10 "noise" 0.92 "" NA NA NA NA "input_t"
+"Cir750016-2016-Pass1-Tron9-Chiro_1_00170_000" 0.7 4.7 10 "noise" 0.98 "" NA NA NA NA "input_t"
+"Cir750016-2016-Pass1-Tron9-Chiro_1_00175_000" 1.8 4.5 9 "noise" 0.99 "" NA NA NA NA "input_t"
+"Cir750016-2016-Pass1-Tron9-Chiro_1_00180_000" 0.8 4.9 10 "noise" 0.96 "" NA NA NA NA "input_t"
+"Cir750016-2016-Pass1-Tron9-Chiro_1_00180_000" 2.3 2.4 13 "Pipkuh" 0.04 "Tadten, Tetvir" NA NA NA NA "input_t"
+"Cir750016-2016-Pass1-Tron9-Chiro_1_00185_000" 0.3 4.9 10 "noise" 0.96 "" NA NA NA NA "input_t"
+"Cir750016-2016-Pass1-Tron9-Chiro_1_00190_000" 0 3.2 9 "noise" 0.97 "" NA NA NA NA "input_t"
+"Cir750016-2016-Pass1-Tron9-Chiro_1_00190_000" 2.6 2.7 13 "Tetvir" 0.02 "Pipkuh, Yerray, Yerbey, Vesmur, Urosp, Tyllil, Thycor, Tetpyg, Tetarg, Testes, Tadten, Sepsep, Rusnit, Roeroe, Rhihip, Rhifer, Rhieur, Ratnor, Plemac, Pleaus, Pleaur, Plasab, Plaint, Plafal, Plaalb, Plaaff, Pippyg, Pippip, Pipnat, piaf, Phogri, Phofem, Phanan, Phafal, Nycnoc, Nyclei, Nyclas, Myonat, Myomys, MyoGT, Myoema, Myodau, Myodas, Myocap, Myobec, Myoalc, Mussp, Minsch, Micagr, Metbra, mamm, Leppun, Lepbos, Lepalb, Lamsp., Isopyr, Inssp8, Inssp7, Inssp5, Insp12, Insp11, Insp10, Hypsav, gril, Eupsp, Eptser, Eptnil, Epheph, Decalb, Cyrscu, Cympud, criq, Confus, Tetarg, Barfis, Barbar, amph" NA NA NA NA "input_t"
+"Cir750016-2016-Pass1-Tron9-Chiro_1_00195_000" 1.6 1.7 25 "noise" 0.54 "" NA NA NA NA "input_t"
+"Cir750016-2016-Pass1-Tron9-Chiro_1_00195_000" 1.8 3.7 13 "Pipkuh" 0.03 "Tetvir, Tadten, Rusnit, Pippip" NA NA NA NA "input_t"
+"Cir750016-2016-Pass1-Tron9-Chiro_1_00200_000" 1.4 4.6 9 "noise" 0.98 "" NA NA NA NA "input_t"
+"Cir750016-2016-Pass1-Tron9-Chiro_1_00205_000" 1.3 4.4 11 "noise" 0.97 "" NA NA NA NA "input_t"
+"Cir750016-2016-Pass1-Tron9-Chiro_1_00210_000" 0.4 3.3 11 "noise" 0.97 "" NA NA NA NA "input_t"
+"Cir750016-2016-Pass1-Tron9-Chiro_1_00215_000" 0 4.3 10 "noise" 0.97 "" NA NA NA NA "input_t"
+"Cir750016-2016-Pass1-Tron9-Chiro_1_00220_000" 0.7 1.2 10 "noise" 0.97 "" NA NA NA NA "input_t"
+"Cir750016-2016-Pass1-Tron9-Chiro_1_00225_000" 0.3 5 21 "noise" 0.91 "" NA NA NA NA "input_t"
+"Cir750016-2016-Pass1-Tron9-Chiro_1_00230_000" 0.5 4.9 9 "noise" 0.96 "" NA NA NA NA "input_t"
+"Cir750016-2016-Pass1-Tron9-Chiro_1_00235_000" 0.1 2.5 10 "noise" 0.17 "Phogri, Eupsp" NA NA NA NA "input_t"
+"Cir750016-2016-Pass1-Tron9-Chiro_1_00240_000" 1.3 4.3 9 "noise" 0.26 "Phogri" NA NA NA NA "input_t"
+"Cir750016-2016-Pass1-Tron9-Chiro_1_00245_000" 4.3 4.7 11 "noise" 0.98 "" NA NA NA NA "input_t"
+"Cir750016-2016-Pass1-Tron9-Chiro_1_00255_000" 0.3 3.4 18 "noise" 0.96 "" NA NA NA NA "input_t"
+"Cir750016-2016-Pass1-Tron9-Chiro_1_00260_000" 2.9 3 14 "noise" 0.95 "" NA NA NA NA "input_t"
+"Cir750016-2016-Pass1-Tron9-Chiro_1_00265_000" 1.6 3.3 14 "noise" 0.92 "" NA NA NA NA "input_t"
+"Cir750016-2016-Pass1-Tron9-Chiro_1_00265_000" 1.6 1.7 22 "Tetvir" 0.02 "Pippip, Nyclei, Yerray, Yerbey, Vesmur, Urosp, Tyllil, Thycor, Tetpyg, Tetarg, Testes, Tadten, Sepsep, Rusnit, Roeroe, Rhihip, Rhifer, Rhieur, Ratnor, Plemac, Pleaus, Pleaur, Plasab, Plaint, Plafal, Plaalb, Plaaff, Pippyg, Pipnat, Pipkuh, piaf, Phogri, Phofem, Phanan, Phafal, Nycnoc, Nyclas, Myonat, Myomys, MyoGT, Myoema, Myodau, Myodas, Myocap, Myobec, Myoalc, Mussp, Minsch, Micagr, Metbra, mamm, Leppun, Lepbos, Lepalb, Lamsp., Isopyr, Inssp8, Inssp7, Inssp5, Insp12, Insp11, Insp10, Hypsav, gril, Eupsp, Eptser, Eptnil, Epheph, Decalb, Cyrscu, Cympud, criq, Confus, Tetarg, Barfis, Barbar, amph" NA NA NA NA "input_t"
+"Cir750016-2016-Pass1-Tron9-Chiro_1_00270_000" 0.6 4.3 11 "noise" 0.98 "" NA NA NA NA "input_t"
+"Cir750016-2016-Pass1-Tron9-Chiro_1_00275_000" 3.7 3.8 10 "noise" 0.96 "" NA NA NA NA "input_t"
+"Cir750016-2016-Pass1-Tron9-Chiro_1_00280_000" 1.8 4.3 13 "noise" 0.98 "" NA NA NA NA "input_t"
+"Cir750016-2016-Pass1-Tron9-Chiro_1_00285_000" 0.5 4.8 16 "noise" 0.99 "" NA NA NA NA "input_t"
+"Cir750016-2016-Pass1-Tron9-Chiro_1_00290_000" 0.7 0.8 15 "noise" 0.93 "" NA NA NA NA "input_t"
+"Cir750016-2016-Pass1-Tron9-Chiro_1_00295_000" 3.5 4.7 10 "noise" 0.91 "" NA NA NA NA "input_t"
+"Cir750016-2016-Pass1-Tron9-Chiro_1_00300_000" 0.3 4.9 12 "noise" 0.99 "" NA NA NA NA "input_t"
+"Cir750016-2016-Pass1-Tron9-Chiro_1_00305_000" 0.2 5 16 "noise" 0.99 "" NA NA NA NA "input_t"
+"Cir750016-2016-Pass1-Tron9-Chiro_1_00310_000" 0 4.7 15 "noise" 0.99 "" NA NA NA NA "input_t"
+"Cir750016-2016-Pass1-Tron9-Chiro_1_00310_000" 1.9 2.2 44 "Pippip" 0.84 "" NA NA NA NA "input_t"
+"Cir750016-2016-Pass1-Tron9-Chiro_1_00315_000" 0.9 5 11 "noise" 0.9 "" NA NA NA NA "input_t"
+"Cir750016-2016-Pass1-Tron9-Chiro_1_00320_000" 1.8 5 18 "noise" 0.99 "" NA NA NA NA "input_t"
+"Cir750016-2016-Pass1-Tron9-Chiro_1_00325_000" 0.6 4.9 18 "noise" 0.99 "" NA NA NA NA "input_t"
+"Cir750016-2016-Pass1-Tron9-Chiro_1_00330_000" 0.1 4.5 16 "noise" 0.99 "" NA NA NA NA "input_t"
+"Cir750016-2016-Pass1-Tron9-Chiro_1_00335_000" 0.7 4.9 10 "noise" 0.97 "" NA NA NA NA "input_t"
+"Cir750016-2016-Pass1-Tron9-Chiro_1_00340_000" 1.7 5 22 "noise" 0.97 "" NA NA NA NA "input_t"
+"Cir750016-2016-Pass1-Tron9-Chiro_1_00345_000" 0.1 4.9 10 "noise" 0.98 "" NA NA NA NA "input_t"
+"Cir750016-2016-Pass1-Tron9-Chiro_1_00345_000" 1.8 3.7 10 "Tetvir" 0.32 "" NA NA NA NA "input_t"
+"Cir750016-2016-Pass1-Tron9-Chiro_1_00350_000" 0.1 4.7 10 "noise" 0.99 "" NA NA NA NA "input_t"
+"Cir750016-2016-Pass1-Tron9-Chiro_1_00355_000" 1.4 4.6 10 "noise" 0.97 "" NA NA NA NA "input_t"
+"Cir750016-2016-Pass1-Tron9-Chiro_1_00360_000" 0.2 0.9 14 "noise" 0.9 "" NA NA NA NA "input_t"
diff -r 8c472c4f1bf5 -r eb19a5089b56 vigiechiro_macros.xml
--- a/vigiechiro_macros.xml Wed Mar 13 11:18:58 2019 -0400
+++ b/vigiechiro_macros.xml Fri Apr 26 12:21:27 2019 -0400
@@ -1,5 +1,5 @@
- 0.1.0
+ 0.1.1
@@ -28,13 +28,16 @@
10.5334/jors.154
-
+
- r-reshape2
- r-data.table
- r-dt
- r-htmlwidgets
- pandoc
-
+ r-data.table
+
+
+
+
+ r-reshape2
+ r-dt
+ r-htmlwidgets
+ pandoc