Nothing
wtd.fivenum <-
function(x, weights=NULL, na.rm=TRUE)
{
interpolatedindex<-function(myval,weights){
indices<-1:length(weights)
n<-sum(weights)
weightsbelow<-rep(0,length(weights))
for (i in 2:length(weights))
weightsbelow[i] <- weightsbelow[i-1]+weights[i-1]
weightsabove<-n-weightsbelow-weights
lowcands<-weightsbelow<myval
highcands<-weightsabove<n-myval
(ifelse(any(lowcands),max(indices[lowcands]),1)+
ifelse(any(highcands),min(indices[highcands]),length(x)))/2
}
if (is.null(weights)) weights<-rep(1,length(x))
if (length(x)>1)
equalweights<- all((weights[2:length(weights)]-
weights[1:length(weights)-1])==0)
else
equalweights<-TRUE
xna <- (is.na(x) | weights==0)
if(na.rm) x <- x[!xna]
else if(any(xna)) return(rep.int(NA,5))
sortorder<-order(x)
x <- x[sortorder]
weights<-weights[sortorder]
n <- sum(weights)
if(n == 0) rep.int(NA,5)
else {
if (equalweights){
d <- c(1, 0.5*floor(0.5*(n+3)), 0.5*(n+1),
n+1-0.5*floor(0.5*(n+3)), n)
}
else {
if(length(x)>1)
d<-c(1,sapply(c(0.25*n,0.5*n,0.75*n),
function(xxx)interpolatedindex(xxx,weights)),
length(x))
else
d<-rep(1,5)
}
0.5*(x[floor(d)]+x[ceiling(d)])
}
}
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