`smoothScatter`

produces a smoothed color density
representation of a scatterplot, obtained through a (2D) kernel
density estimate.
`smoothScatter(x, y = NULL, nbin = 128, bandwidth, colramp = colorRampPalette(c("white", blues9)), nrpoints = 100, ret.selection = FALSE, pch = ".", cex = 1, col = "black", transformation = function(x) x^.25, postPlotHook = box, xlab = NULL, ylab = NULL, xlim, ylim, xaxs = par("xaxs"), yaxs = par("yaxs"), ...)`

x, y

the

`x`

and `y`

arguments provide the x and y
coordinates for the plot. 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.nrpoints

number of points to be superimposed on the density
image. The first

`nrpoints`

points from those areas of lowest
regional densities will be plotted. Adding points to the plot
allows for the identification of outliers. If all points are to be
plotted, choose `nrpoints = Inf`

.ret.selection

`logical`

indicating to return the
ordered indices of “low density” points if `nrpoints > 0`

.pch, cex, col

transformation

function mapping the density scale to the color scale.

postPlotHook

either

`NULL`

or a function which will be
called (with no arguments) after `image`

.xlab, ylab

character strings to be used as axis labels, passed
to

`image`

.xlim, ylim

numeric vectors of length 2 specifying axis limits.

xaxs, yaxs, ...

further arguments passed to

`image`

,
e.g., `add=TRUE`

or `useRaster=TRUE`

.-
If

`ret.selection`

is true, a vector of integers of length
`nrpoints`

(or smaller, if there are less finite points inside
`xlim`

and `ylim`

) with the indices of the low-density
points drawn, ordered with lowest density first.
`smoothScatter`

produces a smoothed version of a scatter plot.
Two dimensional (kernel density) smoothing is performed by
`bkde2D`

from package \href{https://CRAN.R-project.org/package=#1}{\pkg{#1}}KernSmoothKernSmooth.
See the examples for how to use this function together with
`pairs`

.
`bkde2D`

from package \href{https://CRAN.R-project.org/package=#1}{\pkg{#1}}KernSmoothKernSmooth;
`densCols`

which uses the same smoothing computations and
`blues9`

in package grDevices. `scatter.smooth`

adds a `loess`

regression smoother to a scatter plot.