An object of class "NumEdges".
Returns the number of edges of
the underlying or reflexivity graph of
Proportional Edge Proximity Catch Digraphs (PE-PCDs)
whose vertices are the
given 2D numerical data set, Xp
in a given triangle.
It also provides number of vertices
(i.e., number of data points inside the triangle)
and indices of the data points that reside in the triangle.
PE proximity region \(N_{PE}(x,r)\) is defined
with respect to the triangle, tri
with expansion parameter \(r \ge 1\) 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 the triangle tri or
based on circumcenter of tri;
default is \(M=(1,1,1)\),
i.e., the center of mass of tri.
For the number of edges, loops are not allowed,
so edges are only possible for points
inside the triangle tri for this function.
See also (ceyhan:Phd-thesis,ceyhan:stamet2016;textualpcds.ugraph).
num.edgesPEtri(
Xp,
tri,
r,
M = c(1, 1, 1),
ugraph = c("underlying", "reflexivity")
)A list with the elements
A short description of the output: number of edges and quantities related to the triangle
Type of the graph as "Underlying" or "Reflexivity" for the PE-PCD
Number of edges of the underlying
or reflexivity graphs based on the PE-PCD
with vertices in the given triangle tri
Number of Xp points in the triangle, tri
The vector of indices of the Xp points
that reside in the triangle
Tessellation points, i.e., points on which the tessellation of the study region is performed, here, tessellation is the support triangle.
Vertices of the underlying or reflexivity graph, Xp.
A set of 2D points which constitute the vertices of PE-PCD.
A \(3 \times 2\) matrix with each row representing a vertex of the triangle.
A positive real number which serves as the expansion parameter in PE proximity region; must be \(\ge 1\).
A 2D point in Cartesian coordinates
or a 3D point in barycentric coordinates
which serves as a center in the interior of the triangle tri
or the circumcenter of tri
which may be entered as "CC" as well;
default is \(M=(1,1,1)\), i.e.,
the center of mass of tri.
The type of the graph based on PE-PCDs,
"underlying" is for the underlying graph,
and "reflexivity" is for
the reflexivity graph (default is "underlying").
Elvan Ceyhan
num.edgesPE, num.edgesAStri,
num.edgesCStri, and num.arcsPEtri
#\donttest{
A<-c(1,1); B<-c(2,0); C<-c(1.5,2);
Tr<-rbind(A,B,C);
n<-10
set.seed(1)
Xp<-pcds::runif.tri(n,Tr)$g
M<-as.numeric(pcds::runif.tri(1,Tr)$g)
Nedges = num.edgesPEtri(Xp,Tr,r=1.25,M)
Nedges
summary(Nedges)
plot(Nedges)
#}
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