splom(x, data, ...)
parallel(x, data, ...)
## S3 method for class 'formula':
splom(x,
data,
auto.key = FALSE,
aspect = 1,
between = list(x = 0.5, y = 0.5),
panel = lattice.getOption("panel.splom"),
prepanel,
scales,
strip,
groups,
xlab,
xlim,
ylab = NULL,
ylim,
superpanel = lattice.getOption("panel.pairs"),
pscales = 5,
varnames,
drop.unused.levels,
...,
lattice.options = NULL,
default.scales,
subset = TRUE)
## S3 method for class 'formula':
parallel(x,
data,
auto.key = FALSE,
aspect = "fill",
between = list(x = 0.5, y = 0.5),
panel = lattice.getOption("panel.parallel"),
prepanel,
scales,
strip,
groups,
xlab = NULL,
xlim,
ylab = NULL,
ylim,
varnames,
horizontal.axis = TRUE,
drop.unused.levels,
...,
lattice.options = NULL,
default.scales,
subset = TRUE)
## S3 method for class 'data.frame':
splom(x, data = NULL, \dots, groups = NULL, subset = TRUE)
## S3 method for class 'matrix':
splom(x, data = NULL, \dots, groups = NULL, subset = TRUE)
## S3 method for class 'matrix':
parallel(x, data = NULL, \dots, groups = NULL, subset = TRUE)
## S3 method for class 'data.frame':
parallel(x, data = NULL, \dots, groups = NULL, subset = TRUE)
For the "formula"
method, a formula describing the structure
of the plot, which should be of the form ~ x | g1 * g2 *
...
, where x
is a data frame or
formula
methods, an optional data frame in which
variables in the formula (as well as groups
and
subset
, if any) are to be evaluated.splom
.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 f
scales
argument in xyplot
etc. This argument
is passed to the superpanel
function, and is handled by the
default superpanel funcTRUE
) or vertically (FALSE
).xyplot
xyplot
for non-trivial details.splom
produces Scatter Plot Matrices. The role usually played
by panel
is taken over by superpanel
, which takes a data
frame subset and is responsible for plotting it. It is called with
the coordinate system set up to have both x- and y-limits from
0.5
to ncol(z) + 0.5
. The only built-in option
currently available is panel.pairs
, which calls a
further panel function for each pair (i, j)
of variables in
z
inside a rectangle of unit width and height centered at
c(i, j)
(see panel.pairs
for details). 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.
xyplot
, Lattice
, panel.pairs,
panel.parallel
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
Length", "Sepal
Width", "Petal
Length"),
page = function(...) {
ltext(x = seq(.6, .8, length.out = 4),
y = seq(.9, .6, length.out = 4),
labels = c("Three", "Varieties", "of", "Iris"),
cex = 2)
})
parallel(~iris[1:4] | Species, iris)
parallel(~iris[1:4], iris, groups = Species,
horizontal.axis = FALSE, scales = list(x = list(rot = 90)))
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