| densCols {grDevices} | R Documentation | 
Colors for Smooth Density Plots
Description
densCols produces a vector containing colors which encode the
local densities at each point in a scatterplot.
Usage
densCols(x, y = NULL, nbin = 128, bandwidth,
         colramp = colorRampPalette(blues9[-(1:3)]))
blues9
Arguments
| x,y | the  | 
| nbin | numeric vector of length one (for both directions) or two
(for x and y separately) specifying the number of equally spaced
grid points for the density estimation; directly used as
 | 
| bandwidth | numeric vector (length 1 or 2) of smoothing bandwidth(s).
If missing, a more or less useful default is used.  | 
| colramp | function accepting an integer  | 
Details
densCols computes and returns the set of colors that will be
used in plotting, calling bkde2D(*,
  bandwidth, gridsize = nbin, ..) from package KernSmooth.
blues9 is a set of 9 color shades of blue used as the default in
plotting.
Value
densCols returns a vector of length nrow(x) that
contains colors to be used in a subsequent scatterplot.  Each color
represents the local density around the corresponding point.
Author(s)
Florian Hahne at FHCRC, originally
See Also
bkde2D from package KernSmooth;
further, smoothScatter() (package graphics) which
builds on the same computations as densCols.
Examples
x1  <- matrix(rnorm(1e3), ncol = 2)
x2  <- matrix(rnorm(1e3, mean = 3, sd = 1.5), ncol = 2)
x   <- rbind(x1, x2)
dcols <- densCols(x)
graphics::plot(x, col = dcols, pch = 20, main = "n = 1000")