# densCols

0th

Percentile

##### Colors for Smooth Density Plots

densCols produces a vector containing colors which encode the local densities at each point in a scatterplot.

Keywords
dplot
##### Usage
densCols(x, y = NULL, nbin = 128, bandwidth,
colramp = colorRampPalette(blues9[-(1:3)]))
blues9
##### Arguments
x, y

the x and y arguments provide the x and y coordinates of the points. Any reasonable way of defining the coordinates is acceptable. See the function xy.coords for details. If supplied separately, they must be of the same length.

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 gridsize in bkde2D().

bandwidth

numeric vector (length 1 or 2) of smoothing bandwidth(s). If missing, a more or less useful default is used. bandwidth is subsequently passed to function bkde2D.

colramp

function accepting an integer n as an argument and returning n colors.

##### 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.

bkde2D from package KernSmooth; further, smoothScatter() (package graphics) which builds on the same computations as densCols.
library(grDevices) # NOT RUN { 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") # }