| IarcPEmid.int | R Documentation |
Returns I(p_2 \in N_{PE}(p_1,r,c)) for points p_1 and p_2, that is, returns 1 if p_2 is in N_{PE}(p_1,r,c), returns 0
otherwise, where N_{PE}(x,r,c) is the PE proximity region for point x and is constructed with expansion
parameter r \ge 1 and centrality parameter c \in (0,1) for the interval (a,b).
PE proximity regions are defined with respect to the middle interval int and vertex regions are based
on the center associated with the centrality parameter c \in (0,1). For the interval, int=(a,b), the
parameterized center is M_c=a+c(b-a). rv is the index of the vertex region p_1 resides, with default=NULL.
If p_1 and p_2 are distinct and either of them are outside interval int, it returns 0,
but if they are identical, then it returns 1 regardless of their locations
(i.e., loops are allowed in the digraph).
See also (\insertCiteceyhan:metrika-2012,ceyhan:revstat-2016;textualpcds).
IarcPEmid.int(p1, x2, int, r, c = 0.5, rv = NULL)
p1, x2 |
1D points; |
int |
A |
r |
A positive real number which serves as the expansion parameter in PE proximity region;
must be |
c |
A positive real number in |
rv |
The index of the vertex region |
I(p_2 \in N_{PE}(p_1,r,c)) for points p_1 and p_2 that is, returns 1 if p_2 is in N_{PE}(p_1,r,c),
returns 0 otherwise
Elvan Ceyhan
IarcPEend.int, IarcCSmid.int, and IarcCSend.int
c<-.4
r<-2
a<-0; b<-10; int<-c(a,b)
IarcPEmid.int(7,5,int,r,c)
IarcPEmid.int(1,3,int,r,c)
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