Plot Polygonal Domain on Image of Bivariate Function
Produces a combined plot of a polygonal domain and an image of a bivariate
function, using either lattice::levelplot
or image.
plotpolyf(polyregion, f, ..., npixel = 100, cuts = 15, col = rev(heat.colors(cuts + 1)), lwd = 3, xlim = NULL, ylim = NULL, use.lattice = TRUE, print.args = list())
| polyregion | a polygonal domain.
The following classes are supported:
 | 
| f | a two-dimensional real-valued function. As its first argument it must take a coordinate matrix, i.e., a numeric matrix with two columns, and it must return a numeric vector of length the number of coordinates. | 
| ... | further arguments for  | 
| npixel | numeric vector of length 1 or 2 setting the number of pixels in each dimension. | 
| cuts | number of cut points in the z dimension.
The range of function values will be divided into  | 
| col | color vector used for the function levels. | 
| lwd | line width of the polygon edges. | 
| xlim, ylim | numeric vectors of length 2 setting the axis limits.
 | 
| use.lattice | logical indicating if lattice graphics
( | 
| print.args | a list of arguments passed to  | 
Sebastian Meyer
### a polygonal domain (a simplified version of spatstat.data::letterR$bdry)
letterR <- list(
    list(x = c(2.7, 3, 3.3, 3.9, 3.7, 3.4, 3.8, 3.7, 3.4, 2, 2, 2.7),
         y = c(1.7, 1.6, 0.7, 0.7, 1.3, 1.8, 2.2, 2.9, 3.3, 3.3, 0.7, 0.7)),
    list(x = c(2.6, 2.6, 3, 3.2, 3),
         y = c(2.2, 2.7, 2.7, 2.5, 2.2))
)
### f: isotropic exponential decay
fr <- function(r, rate = 1) dexp(r, rate = rate)
fcenter <- c(2,3)
f <- function (s, rate = 1) fr(sqrt(rowSums(t(t(s)-fcenter)^2)), rate = rate)
### plot
plotpolyf(letterR, f, use.lattice = FALSE)
plotpolyf(letterR, f, use.lattice = TRUE)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.