inci.matPE1D: Incidence matrix for Proportional-Edge Proximity Catch...

In elvanceyhan/pcds: Proximity Catch Digraphs and Their Applications

Incidence matrix for Proportional-Edge Proximity Catch Digraphs (PE-PCDs) for 1D data - multiple interval case

Description

Returns the incidence matrix for the PE-PCD for a given 1D numerical data set, Xp, as the vertices of the digraph and Yp determines the end points of the intervals (in the multi-interval case). Loops are allowed, so the diagonal entries are all equal to 1.

PE proximity region is constructed with an expansion parameter r \ge 1 and a centrality parameter c \in (0,1).

See also (\insertCiteceyhan:metrika-2012;textualpcds).

Usage

inci.matPE1D(Xp, Yp, r, c = 0.5)

Arguments

Xp	a set of 1D points which constitutes the vertices of the digraph.
Yp	a set of 1D points which constitutes the end points of the intervals that partition the real line.
r	A positive real number which serves as the expansion parameter in PE proximity region; must be \ge 1.
c	A positive real number in (0,1) parameterizing the center inside middle intervals with the default c=.5. For the interval, (a,b), the parameterized center is M_c=a+c(b-a).

Value

Incidence matrix for the PE-PCD with vertices being 1D data set, Xp, and Yp determines the end points of the intervals (in the multi-interval case)

Author(s)

Elvan Ceyhan

References

\insertAllCited

See Also

inci.matCS1D, inci.matPEtri, and inci.matPE

Examples

## Not run: 
r<-2
c<-.4
a<-0; b<-10;
nx<-10; ny<-4

set.seed(1)
Xp<-runif(nx,a,b)
Yp<-runif(ny,a,b)

IM<-inci.matPE1D(Xp,Yp,r,c)
IM

dom.num.greedy(IM)
Idom.num.up.bnd(IM,6)
dom.num.exact(IM)

## End(Not run)

elvanceyhan/pcds documentation built on June 29, 2023, 8:12 a.m.