| num.edgesCStri | R Documentation | 
An object of class "NumEdges".
Returns the number of edges of
the underlying or reflexivity graphs of
Central Similarity Proximity Catch Digraphs (CS-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.
CS proximity region N_{CS}(x,t) is defined
with respect to the triangle, tri
with expansion parameter t > 0 and edge 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;
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 (\insertCiteceyhan:Phd-thesis,ceyhan:arc-density-CS;textualpcds.ugraph).
num.edgesCStri(
  Xp,
  tri,
  t,
  M = c(1, 1, 1),
  ugraph = c("underlying", "reflexivity")
)
| Xp | A set of 2D points which constitute the vertices of CS-PCD. | 
| tri | A  | 
| t | A positive real number which serves as the expansion parameter in CS proximity region. | 
| 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 CS-PCDs,
 | 
A list with the elements
| desc | A short description of the output: number of edges and quantities related to the triangle | 
| und.graph | Type of the graph as "Underlying" or "Reflexivity" for the CS-PCD | 
| num.edges | Number of edges of the underlying
or reflexivity graphs based on the CS-PCD
with vertices in the given triangle  | 
| num.in.tri | Number of  | 
| ind.in.tri | The vector of indices of the  | 
| tess.points | Tessellation points, i.e., points on which the tessellation of the study region is performed, here, tessellation is the support triangle. | 
| vertices | Vertices of the underlying or reflexivity graph,  | 
Elvan Ceyhan
num.edgesCS, num.edgesAStri,
num.edgesPEtri, and num.arcsCStri
#\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.edgesCStri(Xp,Tr,t=1.5,M)
Nedges
summary(Nedges)
plot(Nedges)
#}
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