pcds (version 0.1.6)

funsMuVarPEend.int: Returns the mean and (asymptotic) variance of arc density of Proportional Edge Proximity Catch Digraph (PE-PCD) for 1D data - end interval case

Description

Two functions: muPEend.int and asyvarPEend.int.

muPEend.int returns the mean of the arc density of PE-PCD and asyvarPEend.int returns the asymptotic variance of the arc density of PE-PCD for a given expansion parameter $r\ge 1$ for 1D uniform data in the left and right end intervals for the interval $(a,b)$.

See also (ceyhan:metrika-2012;textualpcds).

Usage

muPEend.int(r)
asyvarPEend.int(r)

Value

muPEend.int returns the mean and asyvarPEend.int returns the asymptotic variance of the arc density of PE-PCD for uniform data in end intervals

Arguments

r

A positive real number which serves as the expansion parameter in PE proximity region; must be $\ge 1$.

Author

Elvan Ceyhan

References

See Also

muCSend.int and asyvarCSend.int

Examples

if (FALSE) {
#Examples for muPEend.int
muPEend.int(1.2)

rseq<-seq(1.01,5,by=.1)
lrseq<-length(rseq)

mu.end<-vector()
for (i in 1:lrseq)
{
  mu.end<-c(mu.end,muPEend.int(rseq[i]))
}

plot(rseq, mu.end,type="l",
ylab=expression(paste(mu,"(r)")),xlab="r",lty=1,xlim=range(rseq),ylim=c(0,1))
}

if (FALSE) {
#Examples for asyvarPEend.int
asyvarPEend.int(1.2)

rseq<-seq(1.01,5,by=.1)
lrseq<-length(rseq)

var.end<-vector()
for (i in 1:lrseq)
{
  var.end<-c(var.end,asyvarPEend.int(rseq[i]))
}

par(mar=c(5,5,4,2))
plot(rseq, var.end,type="l",
xlab="r",ylab=expression(paste(sigma^2,"(r)")),lty=1,xlim=range(rseq))
}