| 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,
between = list(x = 0.5, y = 0.5),
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 |
Usual interpretation for parallel, namely the function that
creates the display within each panel.
For splom, the terminology is slightly complicated. The role
played by the panel function in most other high-level functions is
played here by the superpanel function, which is responsible
for the display for each conditional data subset. panel is
simply an argument to the default superpanel function
panel.pairs, and is passed on to it unchanged. It is used
there to create each pairwise display. See panel.pairs
for more useful options.
|
superpanel |
function that sets up the splom display, by default as a scatterplot matrix. |
pscales |
a numeric value or a list, meant to be a less functional substitute
for the scales argument in xyplot etc. This argument
is passed to the superpanel function, and is handled by the
default superpanel function panel.pairs. The help page for
the latter documents this argument in more detail.
|
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.
Many of the finer customizations usually done via arguments to high
level function like xyplot are instead done by
panel.pairs for splom. These include control of axis
limits, tick locations and prepanel calcultions. If you are trying to
fine-tune your splom plot, definitely look at the
panel.pairs help page. The scales argument is
usually not very useful in splom, and trying to change it may
have undesired effects.
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(...) {
ltext(x = seq(.6, .8, len = 4),
y = seq(.9, .6, len = 4),
lab = c("Three", "Varieties", "of", "Iris"),
cex = 2)
})
parallel(~iris[1:4] | Species, iris)