heatscatter: A colored scatterplot based on a two-dimensional Kernel...
In LSD: Lots of Superior Depictions

Description Usage Arguments Note Author(s) References See Also Examples

Visualize two dimensional data in a three dimensional fashion facilitating a color encoded Kernel Density Estimation.

heatscatter(
  x,
  y,
  pch = 19,
  cexplot = 0.5,
  nrcol = 30,
  grid = 100,
  colpal = "heat",
  simulate = FALSE,
  daltonize = FALSE,
  cvd = "p",
  alpha = NULL,
  rev = FALSE,
  xlim = NULL,
  ylim = NULL,
  xlab = NULL,
  ylab = NULL,
  main = "heatscatter",
  cor = FALSE,
  method = "spearman",
  only = "none",
  add.contour = FALSE,
  nlevels = 10,
  color.contour = "black",
  greyscale = FALSE,
  log = "",
  ...
)

`x`	a numeric vector.
`y`	a numeric vector.
`pch`	plotting 'character'. This can either be a single character or an integer code for one of a set of graphics symbols. (see '?pch', to be passed to plot).
`cexplot`	a numerical value giving the amount by which the points should be magnified relative to the default.
`nrcol`	a non-negative integer specifying the number of colors to be used (defaults to 100, if not specified).
`grid`	an integer specifying the size of the grid used for the KDE.
`colpal`	a character vector containing R built-in color names or a name of a `LSD` colorpalette as a character string (see disco() or `disco`) (defaults to "heat", if not specified).
`simulate`	logical: if `TRUE` (`FALSE` by default), a converted colorpalette is used to simulate dichromat vision according to http://www.daltonize.org (see `daltonize`).
`daltonize`	logical: if `TRUE` (`FALSE` by default), a converted colorpalette is used to enhance dichromat vision according to http://www.daltonize.org (see `daltonize`).
`cvd`	character string implying the type of color vision deficiency ("p" for protanope, "d" for deuteranope or "t" for tritanope).
`alpha`	alpha value: a two-digit integer between 01 and 99 for color opacity, i.e. appearance of partial or full transparency (usage omitted by default).
`rev`	logical: if `TRUE` (`FALSE` by default), a reversed colorpalette is used.
`xlim`	x limits, standard graphics parameter.
`ylim`	y limits, standard graphics parameter.
`xlab`	x labels, standard graphics parameter.
`ylab`	y labels, standard graphics parameter.
`main`	title(s) of the plot, standard graphics parameter.
`cor`	logical: if `TRUE` (`FALSE` by default), the correlation is added to the title.
`method`	a character specifying the correlation method to use ('spearman' (default), 'pearson' or 'kendall').
`only`	a character string which contains 'x' if the density should only be computed for the x axis, 'y' for the y axis (defaults to 'none' for the two-dimensional case).
`add.contour`	logical: if `TRUE` (`FALSE` by default), the contour lines are added to the plot.
`nlevels`	an integer giving the number of levels of the contour lines.
`color.contour`	R build-in color for the contour lines.
`greyscale`	logical: if `TRUE` (`FALSE` by default), the used colorpalette is converted to greyscales.
`log`	a character string which contains "x" if the x axis is to be logarithmic, "y" if the y axis is to be logarithmic and "xy" or "yx" if both axes are to be logarithmic.
`...`	additional parameters to be passed to points and plot.

Two-Dimensional Kernel Density Estimation adapted and modified from Venables and Ripley's MASS package (see reference).

Achim Tresch, Bjoern Schwalb

Venables, W. N. and Ripley, B. D. (2002) Modern Applied Statistics with S. Fourth edition. Springer.

comparisonplot, demotour, disco, colorpalette

points = 10^4
x = c(rnorm(points/2),rnorm(points/2)+4)
y = x + rnorm(points,sd=0.8)
x = sign(x)*abs(x)^1.3

heatscatter(x,y)

heatscatter(x,y,colpal="bl2gr2rd",main="bl2gr2rd",cor=FALSE)

heatscatter(x,y,cor=FALSE,add.contour=TRUE,color.contour="red",greyscale=TRUE)

heatscatter(x,y,colpal="spectral",cor=FALSE,add.contour=TRUE)