plot.ahull | R Documentation |
This function returns a plot of the α-convex hull. If desired, it also adds the Delaunay triangulation, Voronoi diagram and α-shape of the sample.
## S3 method for class 'ahull' plot(x, add = FALSE, do.shape = FALSE, wlines = c("none", "both", "del", "vor"), wpoints = TRUE, number = FALSE, col = NULL, xlim = NULL, ylim = NULL, lwd = NULL, ...)
x |
Object of class |
add |
Logical, if TRUE add to a current plot. |
do.shape |
Logical, indicates if the α-shape should also be plotted. |
wlines |
"Which lines?". I.e. should the Delaunay triangulation be plotted (wlines='del'), should the Voronoi diagram be plotted (wlines='vor'), should both be plotted (wlines='both'), or none (wlines='none', the default)? |
wpoints |
Logical, indicates if sample points should be plotted. |
number |
Logical, defaulting to FALSE; if TRUE then the points plotted will be labelled with their index numbers. |
col |
The colour numbers for plotting the α-convex hull, α-shape, data points, Delaunay triangulation, Voronoi diagram, and the point numbers, in that order; defaults to c(1,1,1,1,1,1). If fewer than six numbers are given, they are recycled. (If more than six numbers are given, the redundant ones are ignored.) |
xlim |
The limits on the x-axis. |
ylim |
The limits on the y-axis. |
lwd |
The line widths for plotting the tesselations, the α-shape, and the α-convex hull, in that order; defaults to c(1,1,2). |
... |
Arguments to be passed to methods, such as graphical parameters (see |
ahull
, ashape
.
## Not run: # Random sample in the unit square x <- matrix(runif(100), nc = 2) # Value of alpha alpha <- 0.2 # alpha-convex hull ahull.obj <- ahull(x, alpha = alpha) # Plot including the alpha-convex hull in pink, alpha-shape in blue, # sample points in black, voronoi diagram in green # and Delaunay triangulation in red plot(ahull.obj, do.shape = TRUE, wlines = "both", col = c(6, 4, 1, 2, 3)) # Random sample from a uniform distribution on a Koch snowflake # with initial side length 1 and 3 iterations x <- rkoch(2000, side = 1, niter = 3) # Value of alpha alpha <- 0.05 # Alpha-convex hull ahull.obj <- ahull(x, alpha = alpha) plot(ahull.obj) ## End(Not run)
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