IedgePEtri {pcds.ugraph} | R Documentation |
The indicator for the presence of an edge from a point to another for the underlying or reflexivity graph of Proportional Edge Proximity Catch Digraphs (PE-PCDs) - one triangle case
Description
Returns I(
p1p2
is an edge
in the underlying or reflexivity graph of PE-PCDs )
for points p1
and p2
in a given triangle.
More specifically, when the argument ugraph="underlying"
, it returns
the edge indicator for the PE-PCD underlying graph,
that is, returns 1 if p2
is
in N_{PE}(p1,r)
or p1
is in N_{PE}(p2,r)
,
returns 0 otherwise.
On the other hand,
when ugraph="reflexivity"
, it returns
the edge indicator for the PE-PCD reflexivity graph,
that is, returns 1 if p2
is
in N_{PE}(p1,r)
and p1
is in N_{PE}(p2,r)
,
returns 0 otherwise.
In both cases PE proximity region is constructed
with respect to the triangle tri
and
vertex regions are based on the center, M=(m_1,m_2)
in Cartesian coordinates or
M=(\alpha,\beta,\gamma)
in barycentric coordinates
in the interior of tri
or based on the circumcenter of tri
;
default is M=(1,1,1)
, i.e.,
the center of mass of tri
.
If p1
and p2
are distinct
and either of them are outside tri
, it returns 0,
but if they are identical,
then it returns 1 regardless of their locations
(i.e., it allows loops).
See also (Ceyhan (2005, 2016)).
Usage
IedgePEtri(
p1,
p2,
tri,
r,
M = c(1, 1, 1),
ugraph = c("underlying", "reflexivity")
)
Arguments
p1 |
A 2D point whose PE proximity region is constructed. |
p2 |
A 2D point. The function determines
whether there is an edge from |
tri |
A |
r |
A positive real number
which serves as the expansion parameter in PE proximity region;
must be |
M |
A 2D point in Cartesian coordinates
or a 3D point in barycentric coordinates
which serves as a center in the interior of the triangle |
ugraph |
The type of the graph based on PE-PCDs,
|
Value
Returns 1 if there is an edge between points p1
and p2
in the underlying or reflexivity graph of PE-PCDs
in a given triangle tri
, and 0 otherwise.
Author(s)
Elvan Ceyhan
References
Ceyhan E (2005).
An Investigation of Proximity Catch Digraphs in Delaunay Tessellations, also available as technical monograph titled Proximity Catch Digraphs: Auxiliary Tools, Properties, and Applications.
Ph.D. thesis, The Johns Hopkins University, Baltimore, MD, 21218.
Ceyhan E (2016).
“Edge Density of New Graph Types Based on a Random Digraph Family.”
Statistical Methodology, 33, 31-54.
See Also
IedgePEbasic.tri
, IedgeAStri
,
IedgeCStri
and IarcPEtri
Examples
#\donttest{
A<-c(1,1); B<-c(2,0); C<-c(1.5,2);
Tr<-rbind(A,B,C);
M<-as.numeric(pcds::runif.tri(1,Tr)$g)
r<-1.5
n<-3
set.seed(1)
Xp<-pcds::runif.tri(n,Tr)$g
IedgePEtri(Xp[1,],Xp[2,],Tr,r,M)
IedgePEtri(Xp[1,],Xp[2,],Tr,r,M,ugraph = "reflexivity")
P1<-as.numeric(pcds::runif.tri(1,Tr)$g)
P2<-as.numeric(pcds::runif.tri(1,Tr)$g)
IedgePEtri(P1,P2,Tr,r,M)
IedgePEtri(P1,P2,Tr,r,M,ugraph="r")
#}