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Update Comparaison_of_methods.rmd 

Modification of LOCAL SCORE MC function and hypothesis test
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njulia1 2022-05-14 17:49:21 +02:00
parent 864fd506a1
commit 980d36c175
1 changed files with 23 additions and 26 deletions
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Comparaison_of_methods.rmd
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@ -356,24 +356,25 @@ plot_graph_distrib_score(distrib_score_theo, distrib_score_mc)
### 3.2. Local score calculation ### 3.2. Local score calculation
```{r} ```{r}
LocalScoreMC <- function(lambda0, lambda1, NbSeq, T, X_seq, P_X, tbe0){ LocalScoreMC <- function(lambda0, lambda1, NbSeq, T, X_seq, P_X, tbe0){
E = ComputeE(lambda0, lambda1) E = ComputeE(lambda0, lambda1)
pvalue = c()
X = c()
min_X = min(X_seq)
max_X = max(X_seq)
NbSeq.NonNulles = 0
for (i in 1:NbSeq){
x = floor(E*log(dexp(tbe0[[i]], rate = lambda1)/dexp(tbe0[[i]], rate = lambda0)))
if (length(x)!=0){
X = c(X,x)
LS = localScoreC(x)$localScore[1]
daudin_result = daudin(localScore = LS, score_probabilities = P_X, sequence_length = length(x), sequence_min = min_X, sequence_max = max_X)
options(warn = -1) # Disable warnings print
pvalue = c(pvalue, daudin_result)
NbSeq.NonNulles = NbSeq.NonNulles + 1
pvalue = c() }
X = c()
min_X = min(X_seq)
max_X = max(X_seq)
for (i in 1:NbSeq){
x = floor(E*log(dexp(tbe0[[i]], rate = lambda1)/dexp(tbe0[[i]], rate = lambda0)))
LS = localScoreC(x)$localScore[1]
daudin_result = daudin(localScore = LS, score_probabilities = P_X, sequence_length = length(x), sequence_min = min_X, sequence_max = max_X)
options(warn = -1) # Disable warnings print
pvalue = c(pvalue, daudin_result)
} }
LS_H0=data.frame(num=1:NbSeq, pvalue_scan=pvalue, class=as.numeric(pvalue<0.05)) LS_H0=data.frame(num=1:NbSeq.NonNulles, pvalue_scan=pvalue, class=(pvalue<0.05)*1)
return(LS_H0) return(LS_H0)
} }
``` ```
@ -451,20 +452,16 @@ CompareMethods <- function(lambda0, lambda1, NbSeq, T, tau){
``` ```
```{r} ```{r}
NbSeq = 10**2 NbSeq = 10**4
T = 10 T = 10
tau = 2 tau = 2
list_of_lambda = list() list_of_lambda = list()
list_of_lambda[[1]] = c(1, 3) list_of_lambda[[1]] = c(1, 3)
list_of_lambda[[2]] = c(1, 4) list_of_lambda[[2]] = c(2, 6)
list_of_lambda[[3]] = c(1, 5) list_of_lambda[[3]] = c(4, 7)
list_of_lambda[[4]] = c(2, 4) list_of_lambda[[4]] = c(2, 9)
list_of_lambda[[5]] = c(2, 5)
list_of_lambda[[6]] = c(2, 6)
list_of_lambda[[7]] = c(4, 5)
list_of_lambda[[8]] = c(4, 8)
list_of_lambda[[9]] = c(4, 10)
i = 1 i = 1
legend_list = c() legend_list = c()