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Scan-Statistics-Project-4Y-INSA
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Update Dataset_study.rmd

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elisaduz 2022-03-22 11:47:44 +01:00
parent aef2dfce41
commit 17933460a4
1 changed files with 23 additions and 4 deletions
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Dataset_study.rmd
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@ -348,8 +348,8 @@ workpath = "."
E=1 E=1
lambda0=0.2 lambda0=5
lambda1=0.5 lambda1=0.1
max=0 max=0
while (exp(-lambda0*max) > 10^(-9)){ while (exp(-lambda0*max) > 10^(-9)){
@ -367,13 +367,17 @@ range(x)
s=seq(min(x),max(x),0.1) s=seq(min(x),max(x),0.1)
s
##tronquer la queue des x (x négatifs) ##tronquer la queue des x (x négatifs)
A=1/(lambda0-lambda1) A=1/(lambda0-lambda1)
B=A*log(lambda1/lambda0) B=A*log(lambda1/lambda0)
proba.s=lambda0*exp(-lambda0*(A*s-B)) proba.s=lambda0*exp(-lambda0*(A*s-B))
proba.s = proba.s/sum(proba.s) proba.s = proba.s/sum(proba.s)
proba.s
barplot(proba.s) barplot(proba.s)
if (lambda0 < lambda1) {
# Troncage à un score minimal # Troncage à un score minimal
minXk = as.numeric(s[max(which(proba.s<(probaseuilmin)))])# On définit la classe pour proba < probaseuilmin minXk = as.numeric(s[max(which(proba.s<(probaseuilmin)))])# On définit la classe pour proba < probaseuilmin
names(proba.s) = as.character(s) names(proba.s) = as.character(s)
@ -383,7 +387,22 @@ score=score[which(score>=minXk)]
proba.s = proba.s[which(s>=minXk)] # On ne garde que les scores supérieurs à minXk proba.s = proba.s[which(s>=minXk)] # On ne garde que les scores supérieurs à minXk
subtitle = paste("lambda0=",lambda0,";lambda1=",lambda1,";E=",E,sep="") subtitle = paste("lambda0=",lambda0,";lambda1=",lambda1,";E=",E,sep="")
barplot(proba.s, col="steelblue",xlab="Score",ylab="Probabilité", main = paste("Probabilité d'apparition de chaque score\nLoi géométrique : ",subtitle,sep="")) barplot(proba.s, col="steelblue",xlab="Score",ylab="Probabilité", main = paste("Probabilité d'apparition de chaque score\nLoi géométrique : ",subtitle,sep=""))
print(score) print(score) }
probaseuilmax= 10^-5
if (lambda1 < lambda0) {
# Troncage à un score minimal
maxXk = as.numeric(s[max(which(proba.s>(probaseuilmax)))])# On définit la classe pour proba < probaseuilmax
names(proba.s) = as.character(s)
proba.s[as.character(maxXk)] = sum(proba.s[which(proba.s>probaseuilmax)]) # probabilité de la classe SCORE < maxXk
score = s
score=score[which(score<=maxXk)]
proba.s = proba.s[which(s<=maxXk)] # On ne garde que les scores inférieurs à maxXk
subtitle = paste("lambda0=",lambda0,";lambda1=",lambda1,";E=",E,sep="")
barplot(proba.s, col="steelblue",xlab="Score",ylab="Probabilité", main = paste("Probabilité d'apparition de chaque score\nLoi géométrique : ",subtitle,sep=""))
print(score) }
min(score) min(score)
max(score) max(score)