Nothing
teststatistics <-
function(x,y){
delta<-0.1
length1<-length(x)
length2<-length(y)
Lst=list(x,y)
comb<-c(x,y)
sx<-sort(x) # sorting of the generated paired data z1
sy<-sort(y)
scomb<-sort(comb)
############Term A##############
# mean of each group k=2
avg=mean(comb)
# length of each group k=2
lenVec = unlist(lapply(Lst, FUN="length"))
sigmaSq = sum((comb - avg)^2)/length(comb)
# computer term A and term B for each k
termLogA = (length1/2)*log(2*pi*exp(1)*sigmaSq)
termLogB = (length2/2)*log(2*pi*exp(1)*sigmaSq)
m1=c(1:min(c(round((length1)^(1-delta)),round(length1/2))))
a<-replicate(length1,m1) ###store repeated values of a vector "m1"
rm<-as.vector(t(a)) ###transpose the previous length(m)*n1 matrix and make it to be a vector
L<-c(1:length1)- rm ###order from (1-m) to (n1-m)
LL<-replace(L, L <= 0, 1 ) ###replace value<=0 with 1 when (1-m) <=0
U<-c(1:length1)+ rm ###order from (1+m) to (n1+m)
UU<-replace(U, U > length1, length1) ###replace value>n1 with n1 when (n1+m)>n1
xL<-sx[LL] ###obtain x(i-m)
xU<-sx[UU] ###obtain x(i+m)
F<-xU-xL
F[F==0]<-1/(length1+length2)
I<-2*rm/(length1*F)
ux<-array(I, c(length1,length(m1))) ### make previous vector a n1 * length(m) matrix
tstat1<-log(min(apply(ux,2,prod)))
m2=c(1:min(c(round((length2)^(1-delta)),round(length2/2))))
a1<-replicate(length2,m2) ###store repeated values of a vector "m1"
rm1<-as.vector(t(a1)) ###transpose the previous length(m)*n1 matrix and make it to be a vector
L1<-c(1:length2)- rm1 ###order from (1-m) to (n1-m)
LL1<-replace(L1, L1 <= 0, 1 ) ###replace value<=0 with 1 when (1-m) <=0
U1<-c(1:length2)+ rm1 ###order from (1+m) to (n1+m)
UU1<-replace(U1, U1 > length2, length2) ###replace value>n1 with n1 when (n1+m)>n1
xL1<-sy[LL1] ###obtain x(i-m)
xU1<-sy[UU1] ###obtain x(i+m)
F<-xU1-xL1
F[F==0]<-1/(length1+length2)
I<-2*rm1/(length2*F)
ux1<-array(I, c(length2,length(m2))) ### make previous vector a n1 * length(m) matrix
tstat2<-log(min(apply(ux1,2,prod)))
T<- termLogA+ termLogB+tstat1+tstat2
return(T)
}
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