Nothing
pvalrsr<-function(x,t=1:length(x), nf=150, Numpq=11){
n<-length(x)
if(!(n%in%(6:200)))stop("Series size must be between 6 and 200")
IND<-which((6:200)==n)
qhat<-TPout$qhatM[,IND]
probs<-TPout$probs
pn<-341 # length(probs)
obs.test<-GetFitHReg(x, t=t, nf=nf)[1] # observed test statistic
diff<-abs(obs.test-qhat) # finding Numpq observations closest to observed test statistic
min.ind<-order(diff)[1]
ind.after<-pn-min.ind
NumDist<-(Numpq-1)/2
# we need to find the Numpq numebr of indices for interpolation
if(min.ind>=NumDist && ind.after>=NumDist){
ind<- (min.ind-NumDist):(min.ind+NumDist)} else {
if(min.ind>=NumDist && (ind.after)<NumDist){
ind<- (min.ind-(Numpq-(ind.after+1))):pn} else
ind<-1:Numpq}
fit<-lm(qnorm(probs)~qhat+I(qhat^2)+I(qhat^3), subset=ind)
pval<-1-pnorm(predict(fit, data.frame(qhat=obs.test)))
pval
}
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.