arcsCSint {pcds} | R Documentation |
The arcs of Central Similarity Proximity Catch Digraph (CS-PCD) for 1D data - one interval case
Description
An object of class "PCDs"
.
Returns arcs of CS-PCD as tails (or sources) and heads (or arrow ends)
and related parameters and the quantities of the digraph.
The vertices of the CS-PCD are the 1D data points in Xp
in the one interval case.
int
determines the end points of the interval.
For this function, CS proximity regions are constructed data points inside or outside the interval based
on int
points with expansion parameter t > 0
and centrality parameter c \in (0,1)
. That is, for this function,
arcs may exist for points in the middle or end-intervals.
It also provides various descriptions and quantities about the arcs of the CS-PCD
such as number of arcs, arc density, etc.
Usage
arcsCSint(Xp, int, t, c = 0.5)
Arguments
Xp |
A set or |
int |
A |
t |
A positive real number which serves as the expansion parameter in CS proximity region. |
c |
A positive real number in |
Value
A list
with the elements
type |
A description of the type of the digraph |
parameters |
Parameters of the digraph, here, they are expansion and centrality parameters. |
tess.points |
Tessellation points, i.e., points on which the tessellation of the study region
is performed, here, tessellation
is the intervalization of the real line based on |
tess.name |
Name of the tessellation points |
vertices |
Vertices of the digraph, |
vert.name |
Name of the data set which constitute the vertices of the digraph |
S |
Tails (or sources) of the arcs of CS-PCD for 1D data |
E |
Heads (or arrow ends) of the arcs of CS-PCD for 1D data |
mtitle |
Text for |
quant |
Various quantities for the digraph: number of vertices, number of partition points, number of intervals, number of arcs, and arc density. |
Author(s)
Elvan Ceyhan
References
There are no references for Rd macro \insertAllCites
on this help page.
See Also
arcsCS1D
, arcsCSmid.int
, arcsCSend.int
, and arcsPE1D
Examples
tau<-2
c<-.4
a<-0; b<-10; int<-c(a,b);
#n is number of X points
n<-10; #try also n<-20
xf<-(int[2]-int[1])*.1
set.seed(1)
Xp<-runif(n,a-xf,b+xf)
Arcs<-arcsCSint(Xp,int,tau,c)
Arcs
summary(Arcs)
plot(Arcs)
Xp<-runif(n,a+10,b+10)
Arcs=arcsCSint(Xp,int,tau,c)
Arcs
summary(Arcs)
plot(Arcs)