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 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 or
p1
is in ,
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 and
p1
is in ,
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,
in Cartesian coordinates or
in barycentric coordinates
in the interior of
tri
or based on the circumcenter of tri
;
default is , 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")
#}