# B_08_splom

##### Scatter Plot Matrices

Draw Conditional Scatter Plot Matrices and Parallel Coordinate Plots

- Keywords
- hplot

##### Usage

```
splom(x, data, …)
parallelplot(x, data, …)
```# S3 method for 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 = NULL,
drop.unused.levels,
…,
lattice.options = NULL,
default.scales,
default.prepanel = lattice.getOption("prepanel.default.splom"),
subset = TRUE)
# S3 method for formula
parallelplot(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 = NULL,
horizontal.axis = TRUE,
drop.unused.levels,
…,
lattice.options = NULL,
default.scales,
default.prepanel = lattice.getOption("prepanel.default.parallel"),
subset = TRUE)

# S3 method for data.frame
splom(x, data = NULL, …, groups = NULL, subset = TRUE)
# S3 method for matrix
splom(x, data = NULL, …, groups = NULL, subset = TRUE)

# S3 method for matrix
parallelplot(x, data = NULL, …, groups = NULL, subset = TRUE)
# S3 method for data.frame
parallelplot(x, data = NULL, …, groups = NULL, subset = TRUE)

##### Arguments

- x
The object on which method dispatch is carried out.

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 matrix. Each of`g1,g2,…`

must be either factors or shingles. The conditioning variables`g1, g2, …`

may be omitted.For the

`data.frame`

methods, a data frame.- data
For the

`formula`

methods, an optional data frame in which variables in the formula (as well as`groups`

and`subset`

, if any) are to be evaluated.- 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
For

`parallelplot`

, this has the usual interpretation, i.e., a 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
A character or expression vector or giving names to be used for the variables in

`x`

. By default, the column names of`x`

.- horizontal.axis
logical indicating whether the parallel axes should be laid out horizontally (

`TRUE`

) or vertically (`FALSE`

).- auto.key, prepanel, scales, strip, groups, xlab, xlim, ylab, ylim, drop.unused.levels, lattice.options, default.scales, subset
See

`xyplot`

- default.prepanel
Fallback prepanel function. See

`xyplot`

.- …
Further arguments. See corresponding entry in

`xyplot`

for non-trivial details.

##### 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.

`parallelplot`

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.

##### Value

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.

##### See Also

##### Examples

```
# NOT RUN {
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, length.out = 4),
y = seq(.9, .6, length.out = 4),
labels = c("Three", "Varieties", "of", "Iris"),
cex = 2)
})
parallelplot(~iris[1:4] | Species, iris)
parallelplot(~iris[1:4], iris, groups = Species,
horizontal.axis = FALSE, scales = list(x = list(rot = 90)))
# }
```

*Documentation reproduced from package lattice, version 0.20-40, License: GPL (>= 2)*