View source: R/contour.loca.p.R View source: R/persp.loca.p.R
persp.loca.p | R Documentation |
persp
provides a graphical representations of objetive function of the min-sum problem, which is the total weighte distance to the demand points (distsum
).
## S3 method for class 'loca.p'
persp(
x,
lp = numeric(0),
xmin = min(x@x),
xmax = max(x@x),
ymin = min(x@y),
ymax = max(x@y),
n = 10,
ticktype = "detailed",
...
)
x |
The loca.p object to compute the objective. |
lp |
If given, then |
xmin |
The minimum value for x axis. |
xmax |
The maximum value for x axis. |
ymin |
The minimum value for y axis. |
ymax |
The maximum value for y axis. |
n |
The number of divisions for grid. |
ticktype |
parameter to pass to low level function persp |
... |
Other options. |
If p<1
then l_p
is not a norm, so only p>=1
are valid values.
A plot a 3D plot or min-sum function.
See also orloca-package
, plot.loca.p
and loca.p
.
# A new unweighted loca.p object
loca <- loca.p(x = c(-1, 1, 1, -1), y = c(-1, -1, 1, 1))
# The 3D graphics
persp(loca)
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