| num.arcsCStri | R Documentation | 
An object of class "NumArcs".
Returns the number of arcs of Central Similarity Proximity Catch Digraphs (CS-PCDs)
whose vertices are the
given 2D numerical data set, Xp.
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 tri;
default is M=(1,1,1) i.e., the center of mass of tri.
For the number of arcs, loops are not allowed so
arcs are only possible for points inside tri for this function.
See also (\insertCiteceyhan:Phd-thesis,ceyhan:arc-density-CS,ceyhan:test2014;textualpcds).
num.arcsCStri(Xp, tri, t, M = c(1, 1, 1))
| 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  | 
A list with the elements
| desc | A short description of the output: number of arcs and quantities related to the triangle | 
| num.arcs | Number of arcs of the CS-PCD | 
| num.in.tri | Number of  | 
| ind.in.tri | The vector of indices of the  | 
| tess.points | Points on which the tessellation of the study region is performed, here, tessellation is the support triangle. | 
| vertices | Vertices of the digraph,  | 
Elvan Ceyhan
num.arcsCSstd.tri, num.arcsCS, num.arcsPEtri,
and num.arcsAStri
## Not run: 
A<-c(1,1); B<-c(2,0); C<-c(1.5,2);
Tr<-rbind(A,B,C);
n<-10  #try also n<-20
set.seed(1)
Xp<-runif.tri(n,Tr)$g
M<-as.numeric(runif.tri(1,Tr)$g)  #try also M<-c(1.6,1.0)
Narcs = num.arcsCStri(Xp,Tr,t=.5,M)
Narcs
summary(Narcs)
plot(Narcs)
## End(Not run)
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