Nothing
KSADCHRY=function(e,tip,B,alpha){
M=length(e)
Ff=0
observed=0
expected=0
if (tip==1){ #Excursion test
if (B==16){
Ff[1]=.196
Ff[2]=.392
Ff[3]=.575
Ff[4]=.732
Ff[5]=1
observed[1]=sum(e[]==0)/M
observed[2]=observed[1]+sum(e[]==1)/M
observed[3]=observed[2]+sum(e[]==2)/M
observed[4]=observed[3]+sum(e[]==3)/M
observed[5]=observed[4]+sum(e[]>=4)/M
}else if (B==32){
Ff[1]=.279
Ff[2]=.54
Ff[3]=.75
Ff[4]=1
observed[1]=sum(e[]<=1)/M
observed[2]=observed[1]+sum((e[]>=2) & (e[]<=3))/M
observed[3]=observed[2]+sum((e[]>=4) & (e[]<=5))/M
observed[4]=observed[3]+sum((e[]>=6))/M
} else if (B==64){
Ff[1]=.198
Ff[2]=.390
Ff[3]=.563
Ff[4]=.769
Ff[5]=1
observed[1]=sum(e[]<=1)/M
observed[2]=observed[1]+sum((e[]>=2) & (e[]<=3))/M
observed[3]=observed[2]+sum((e[]>=4) & (e[]<=5))/M
observed[4]=observed[3]+sum((e[]>=6) & (e[]<=8))/M
observed[5]=observed[4]+sum((e[]>=9))/M
}else if (B==128){
Ff[1]=.21
Ff[2]=.410
Ff[3]=.587
Ff[4]=.771
Ff[5]=1
observed[1]=sum(e[]<=2)/M
observed[2]=observed[1]+sum((e[]>=3) & (e[]<=5))/M
observed[3]=observed[2]+sum((e[]>=6) & (e[]<=8))/M
observed[4]=observed[3]+sum((e[]>=9) & (e[]<=12))/M
observed[5]=observed[4]+sum((e[]>=13))/M
}else if (B==256){
Ff[1]=.198
Ff[2]=.387
Ff[3]=.593
Ff[4]=.804
Ff[5]=1
observed[1]=sum(e[]<=3)/M
observed[2]=observed[1]+sum((e[]>=4) & (e[]<=7))/M
observed[3]=observed[2]+sum((e[]>=8) & (e[]<=12))/M
observed[4]=observed[3]+sum((e[]>=13) & (e[]<=19))/M
observed[5]=observed[4]+sum((e[]>=20))/M
}
} else if (tip==2){
if (B==64){ #Height test
Ff[1]=0.252
Ff[2]=0.479
Ff[3]=0.661
Ff[4]=0.834
Ff[5]=1
observed[1]=sum(e[]<=6)/M
observed[2]=observed[1]+sum((e[]>=7) & (e[]<=8))/M
observed[3]=observed[2]+sum((e[]>=9) & (e[]<=10))/M
observed[4]=observed[3]+sum((e[]>=11) & (e[]<=13))/M
observed[5]=observed[4]+sum((e[]>=14))/M
}else if (B==128){
Ff[1]=0.18
Ff[2]=0.421
Ff[3]=0.63
Ff[4]=0.813
Ff[5]=1
observed[1]=sum(e[]<=8)/M
observed[2]=observed[1]+sum((e[]>=9) & (e[]<=11))/M
observed[3]=observed[2]+sum((e[]>=12) & (e[]<=14))/M
observed[4]=observed[3]+sum((e[]>=15) & (e[]<=18))/M
observed[5]=observed[4]+sum((e[]>=19))/M
}else if (B==256){
Ff[1]=0.196
Ff[2]=0.426
Ff[3]=0.62
Ff[4]=0.815
Ff[5]=1
observed[1]=sum(e[]<=12)/M
observed[2]=observed[1]+sum((e[]>=13) & (e[]<=16))/M
observed[3]=observed[2]+sum((e[]>=17) & (e[]<=20))/M
observed[4]=observed[3]+sum((e[]>=21) & (e[]<=26))/M
observed[5]=observed[4]+sum((e[]>=27))/M
}else if (B==512){
Ff[1]=0.18
Ff[2]=0.385
Ff[3]=0.599
Ff[4]=0.794
Ff[5]=1
observed[1]=sum(e[]<=17)/M
observed[2]=observed[1]+sum((e[]>=18) & (e[]<=22))/M
observed[3]=observed[2]+sum((e[]>=23) & (e[]<=28))/M
observed[4]=observed[3]+sum((e[]>=29) & (e[]<=36))/M
observed[5]=observed[4]+sum((e[]>=37))/M
}else if (B==1024){
Ff[1]=0.196
Ff[2]=0.399
Ff[3]=0.599
Ff[4]=0.803
Ff[5]=1
observed[1]=sum(e[]<=25)/M
observed[2]=observed[1]+sum((e[]>=26) & (e[]<=32))/M
observed[3]=observed[2]+sum((e[]>=33) & (e[]<=40))/M
observed[4]=observed[3]+sum((e[]>=41) & (e[]<=52))/M
observed[5]=observed[4]+sum((e[]>=53))/M
}
} else if (tip==3){ #Expansion
if (B==32){
Ff[1]=0.307
Ff[2]=0.473
Ff[3]=0.739
Ff[4]=1
observed[1]=sum(e[]<=6)/M
observed[2]=observed[1]+sum((e[]==7))/M
observed[3]=observed[2]+sum((e[]>=8) & (e[]<=9))/M
observed[4]=observed[3]+sum((e[]>=10))/M
}else if (B==64){
Ff[1]=0.188
Ff[2]=0.422
Ff[3]=0.634
Ff[4]=0.84
Ff[5]=1
observed[1]=sum(e[]<=8)/M
observed[2]=observed[1]+sum((e[]>=9) & (e[]<=10))/M
observed[3]=observed[2]+sum((e[]>=11) & (e[]<=12))/M
observed[4]=observed[3]+sum((e[]>=13) & (e[]<=15))/M
observed[5]=observed[4]+sum((e[]>=16))/M
}else if (B==128){
Ff[1]=0.196
Ff[2]=0.361
Ff[3]=0.596
Ff[4]=0.81
Ff[5]=1
observed[1]=sum(e[]<=12)/M
observed[2]=observed[1]+sum((e[]>=13) & (e[]<=14))/M
observed[3]=observed[2]+sum((e[]>=15) & (e[]<=17))/M
observed[4]=observed[3]+sum((e[]>=18) & (e[]<=21))/M
observed[5]=observed[4]+sum((e[]>=22))/M
}
}
N=length(Ff)
expected2=0
expected2=round(Ff*2000)
obs=0
obs2=0
obs2=round(observed*2000)
obs[1]=obs2[1]
expected[1]=expected2[1]
for (i in 2:length(observed)){
obs[i]=obs2[i]-obs2[i-1]
expected[i]=expected2[i]-expected2[i-1]
}
z=rep(0:(length(expected)-1),expected)
e=rep(0:(length(obs)-1),obs)
test=kSamples::ad.test(e,z=z,method="simulated",dist=FALSE,Nsim=1000)
ADtest=test$ad
if (ADtest[1,3]<alpha){
sonucAD=0
}
else
{
sonucAD=1
}
KStest=matrix(0,1,2)
test2=ks.test(e,z)
KStest[1]=test2$statistic
KStest[2]=test2$p.value
if (KStest[2]<alpha){
sonucKS=0
}
else
{
sonucKS=1
}
KKtest=0
KKtest[1]=sum(((obs-expected)^2)/expected)
KKtest[2]=1-pchisq(KKtest[1],N-1)
if (KKtest[2]<alpha){
sonucKK=0
}
else
{
sonucKK=1
}
result=list(sonucAD=sonucAD,ADtest=ADtest,sonucKS=sonucKS,KStest=KStest,sonucKK=sonucKK,KKtest=KKtest)
return(result)
}
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