num.edgesCSstd.tri {pcds.ugraph} | R Documentation |
Number of edges in the underlying or reflexivity graphs of Central Similarity Proximity Catch Digraphs (CS-PCDs) - standard equilateral triangle case
Description
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 the standard equilateral 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 standard equilateral triangle
T_e=T(v=1,v=2,v=3)=T((0,0),(1,0),(1/2,\sqrt{3}/2))
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 T_e
;
default is M=(1,1,1)
, i.e., the center of mass of T_e
.
For the number of edges, loops are not allowed so
edges are only possible for points inside T_e
for this function.
See also (Ceyhan (2016)).
Usage
num.edgesCSstd.tri(
Xp,
t,
M = c(1, 1, 1),
ugraph = c("underlying", "reflexivity")
)
Arguments
Xp |
A set of 2D points which constitute the vertices of the underlying or reflexivity graphs based on the CS-PCD. |
t |
A positive real number which serves as the expansion parameter for 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 standard equilateral triangle |
ugraph |
The type of the graph based on CS-PCDs,
|
Value
A list
with the elements
desc |
A short description of the output: number of edges and quantities related to the standard equilateral 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 standard equilateral 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, |
Author(s)
Elvan Ceyhan
References
Ceyhan E (2016). “Edge Density of New Graph Types Based on a Random Digraph Family.” Statistical Methodology, 33, 31-54.
See Also
num.edgesCStri
, num.edgesCS
,
and num.arcsCSstd.tri
Examples
#\donttest{
A<-c(0,0); B<-c(1,0); C<-c(1/2,sqrt(3)/2);
n<-10
set.seed(1)
Xp<-pcds::runif.std.tri(n)$gen.points
M<-c(.6,.2)
Nedges = num.edgesCSstd.tri(Xp,t=1.5,M)
Nedges
summary(Nedges)
plot(Nedges)
#}