Update Dataset_study.rmd
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				@ -348,8 +348,8 @@ workpath = "."
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E=1
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lambda0=0.2
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lambda1=0.5
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lambda0=5
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lambda1=0.1
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max=0 
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while (exp(-lambda0*max) > 10^(-9)){
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@ -367,15 +367,19 @@ range(x)
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s=seq(min(x),max(x),0.1)
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s
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##tronquer la queue des x (x négatifs)
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A=1/(lambda0-lambda1)
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B=A*log(lambda1/lambda0)
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proba.s=lambda0*exp(-lambda0*(A*s-B))
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proba.s = proba.s/sum(proba.s)
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proba.s
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barplot(proba.s)
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if (lambda0 < lambda1) {
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# Troncage à un score minimal
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minXk = as.numeric(s[max(which(proba.s<(probaseuilmin)))]) # On définit la classe pour proba < probaseuilmin
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minXk = as.numeric(s[max(which(proba.s<(probaseuilmin)))])# On définit la classe pour proba < probaseuilmin
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names(proba.s) = as.character(s)
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proba.s[as.character(minXk)] = sum(proba.s[which(proba.s<probaseuilmin)]) # probabilité de la classe SCORE < minXk
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score = s
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@ -383,7 +387,22 @@ score=score[which(score>=minXk)]
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proba.s = proba.s[which(s>=minXk)] # On ne garde que les scores supérieurs à minXk
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subtitle = paste("lambda0=",lambda0,";lambda1=",lambda1,";E=",E,sep="")
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barplot(proba.s, col="steelblue",xlab="Score",ylab="Probabilité", main = paste("Probabilité d'apparition de chaque score\nLoi géométrique : ",subtitle,sep=""))
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print(score)
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print(score) }
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probaseuilmax= 10^-5
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if (lambda1 < lambda0) {
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# Troncage à un score minimal
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maxXk = as.numeric(s[max(which(proba.s>(probaseuilmax)))])# On définit la classe pour proba < probaseuilmax
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names(proba.s) = as.character(s)
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proba.s[as.character(maxXk)] = sum(proba.s[which(proba.s>probaseuilmax)]) # probabilité de la classe SCORE < maxXk
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score = s
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score=score[which(score<=maxXk)]
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proba.s = proba.s[which(s<=maxXk)] # On ne garde que les scores inférieurs à maxXk
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subtitle = paste("lambda0=",lambda0,";lambda1=",lambda1,";E=",E,sep="")
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barplot(proba.s, col="steelblue",xlab="Score",ylab="Probabilité", main = paste("Probabilité d'apparition de chaque score\nLoi géométrique : ",subtitle,sep=""))
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print(score) }
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min(score)
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max(score)
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