heatpairs: Pairwise colored scatterplot based on a two-dimensional...
In LSD: Lots of Superior Depictions

Description Usage Arguments Author(s) See Also Examples

Pairwise visualization of two dimensional data in a three dimensional fashion facilitating a color encoded Kernel Density Estimation.

heatpairs(
  mat,
  main = "heatpairs",
  xlim = NULL,
  ylim = NULL,
  labels = NULL,
  add.points = FALSE,
  group = NULL,
  color.group = "magenta",
  method = "spearman",
  colpal = "heat",
  simulate = FALSE,
  daltonize = FALSE,
  cvd = "p",
  alpha = NULL,
  rev = FALSE,
  pch = 19,
  cexplot = 0.5,
  cor.cex = 2.5,
  nrcol = 30,
  grid = 100,
  only = "none",
  add.contour = FALSE,
  nlevels = 10,
  color.contour = "black",
  greyscale = FALSE,
  log = "",
  ...
)

`mat`	a matrix with numerical entries.
`main`	title(s) of the plot, standard graphics parameter.
`xlim`	x limits, standard graphics parameter.
`ylim`	y limits, standard graphics parameter.
`labels`	a character vector giving the labels to be shown on the diagonal.
`add.points`	logical: if `TRUE` (`FALSE` by default), a certain 'group' of points can be colored in all pairwise plots.
`group`	indices or rownames of 'mat' to be highlighted in all pairwise plots (not necessarily all).
`color.group`	R build-in color in which the 'group' of points should be highlighted.
`method`	a character specifying the correlation method to use ('spearman' (default), 'pearson' or 'kendall').
`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.
`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.
`cor.cex`	a numerical value giving the amount by which the correlation characters 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.
`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

Bjoern Schwalb

comparisonplot, demotour, disco, colorpalette

points = 10^4
x = rnorm(points/2)
x = c(x,x+2.5)
y = x + rnorm(points,sd=0.75)
x = sign(x)*abs(x)^1.3
mat = cbind(x,y,x + rnorm(points,sd=0.5))
colnames(mat) = c("x","y","z")
rownames(mat) = 1:nrow(mat)

heatpairs(mat,labels=c(expression(Xi),expression(Lambda),expression(Delta)))