plotPEarcs.int | R Documentation |
y
-coordinate) - one interval casePlots the arcs of PE-PCD whose vertices are the 1D points, Xp
. PE proximity regions are constructed with
expansion parameter r \ge 1
and centrality parameter c \in (0,1)
and the intervals are based on the interval int
=(a,b)
That is, data set Xp
constitutes the vertices of the digraph and int
determines the end points of the interval.
For better visualization, a uniform jitter from U(-Jit,Jit)
(default for Jit=.1
) is added to
the y
-direction where Jit
equals to the range of \{
Xp
, int
\}
multiplied by Jit
with default for Jit=.1
).
center
is a logical argument, if TRUE
, plot includes the center of the interval int
as a vertical line in the plot, else center of the interval is not plotted.
See also (\insertCiteceyhan:metrika-2012;textualpcds).
plotPEarcs.int(
Xp,
int,
r,
c = 0.5,
Jit = 0.1,
main = NULL,
xlab = NULL,
ylab = NULL,
xlim = NULL,
ylim = NULL,
center = FALSE,
...
)
Xp |
A |
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 |
Jit |
A positive real number that determines the amount of jitter along the |
main |
An overall title for the plot (default= |
xlab, ylab |
Titles of the |
xlim, ylim |
Two |
center |
A logical argument, if |
... |
Additional |
A plot of the arcs of PE-PCD whose vertices are the 1D data set Xp
in which vertices are jittered
along y
-axis for better visualization.
Elvan Ceyhan
plotPEarcs1D
and plotCSarcs.int
## Not run:
r<-2
c<-.4
a<-0; b<-10; int<-c(a,b)
#n is number of X points
n<-10; #try also n<-20;
set.seed(1)
xf<-(int[2]-int[1])*.1
Xp<-runif(n,a-xf,b+xf)
Xlim=range(Xp,int)
Ylim=.1*c(-1,1)
jit<-.1
set.seed(1)
plotPEarcs.int(Xp,int,r=1.5,c=.3,jit,xlab="",ylab="",center=TRUE)
set.seed(1)
plotPEarcs.int(Xp,int,r=2,c=.3,jit,xlab="",ylab="",center=TRUE)
## End(Not run)
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