splom {lattice} | R Documentation |
Draw Conditional Scatter Plot Matrices and Parallel Coordinate Plots
splom(formula, data, aspect = 1, between = list(x = 0.5, y = 0.5), panel = if (is.null(groups)) "panel.splom" else "panel.superpose", superpanel = "panel.pairs", pscales = 5, varnames, ...) parallel(formula, data = list(x = 0.5, y = 0.5), between, panel = "panel.parallel", varnames, ...)
formula |
a formula describing the structure of the plot, which
should be of the form ~ x | g1 * g2 * ... , where x
is a data frame or a matrix. Each of g1,g2,... must be
either factors or shingles. The conditioning variables
g1,g2,... may be omitted, in which case the leading
~ may also be omitted.
|
data |
a data frame containing values for any variables in the formula. By default the environment where the function was called from is used. |
aspect |
aspect ratio of each panel (and subpanel), square by default for
splom .
|
between |
to avoid confusion between panels and subpanels, the default is to show the panels of a splom plot with space between them. |
panel |
function that is used to plot the data on each subpanel of a splom
display. Usual interpretation for densityplot .
|
superpanel |
function that sets up the splom display, by default as a scatterplot matrix. |
pscales |
a numeric value or a list. If pscales is a single number, it tells the approximate number of equally-spaced ticks that should appear on each axis. If pscales is a list, it should have p components, each of which is itself a list with two components: a numeric vector at and a character vector labels. These two vectors tell where labelled tick marks are placed on the axes, which are drawn inside the diagonal cells. Factor variables are labelled with the factor names. Use pscales=0 to supress the axes entirely. |
varnames |
character vector giving the names of the p variables in x. By default, the column names of x. |
... |
other arguments |
splom
produces Scatter Plot Matrices. The role usually played by
panel
is taken over by superpanel
, which determines how
the columns of x
are to be arranged for pairwise plots. The
only available option currently is panel.pairs
. (Writing new
superpanel functions would need knowledge of grid.)
The scales
argument does not have its usual interpretation in
splom
. Its function is partly served by pscales
. However,
components of scale which are sensible would be supported (in future
if not already supported). The rot
component should be
specified as a vector of length 2 for the labels of the horizontal and
vertical labels respectively.
parallel
draws Parallel Coordinate Plots. (Difficult to
describe, see example.)
These and all other high level Trellis functions have several
arguments in common. These are extensively documented only in the
help page for xyplot
, which should be consulted to learn more
detailed usage.
An object of class ``trellis''. The `update' method can be used to update components of the object and the `print' method (usually called by default) will plot it on an appropriate plotting device.
Deepayan Sarkar deepayan@stat.wisc.edu
data(iris) super.sym <- trellis.par.get("superpose.symbol") splom(~iris[1:4], groups = Species, data = iris, panel = panel.superpose, key = list(title = "Three Varieties of Iris", columns = 3, points = list(pch = super.sym$pch[1:3], col = super.sym$col[1:3]), text = list(c("Setosa", "Versicolor", "Virginica")))) splom(~iris[1:3]|Species, data = iris, layout=c(2,2), pscales = 0, varnames = c("Sepal\nLength", "Sepal\nWidth", "Petal\nLength"), page = function(...) { grid.text(x = seq(.6, .8, len = 4), y = seq(.9, .6, len = 4), label = c("Three", "Varieties", "of", "Iris"), gp = gpar(fontsize=20)) })