Usage
splom(formula,
      data,
      aspect = 1,
      between = list(x = 0.5, y = 0.5),
      panel = "panel.splom",
      superpanel = "panel.pairs",
      pscales = 5,
      varnames, ...)
parallel(formula,
         data = list(x = 0.5, y = 0.5),
         between,
         panel = "panel.parallel",
         varnames,
         ...)Arguments
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
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 comp
varnames
character vector giving the names of the p variables in x. By
    default, the column names of x.
synopsis
splom(formula, data = parent.frame(), aspect = 1, between = list(x = 0.5, 
    y = 0.5), layout = NULL, panel = panel.xyplot, prepanel = NULL, 
    scales = list(), strip = TRUE, groups = NULL, xlab = "Scatter Plot Matrix", 
    xlim, ylab = NULL, ylim, superpanel = panel.pairs, pscales = 5, 
    varnames, ..., subscripts = !is.null(groups), subset = TRUE)
parallel(formula, data = parent.frame(), aspect = "fill", between = list(x = 0.5, 
    y = 0.5), layout = NULL, panel = panel.parallel, prepanel = NULL, 
    scales = list(), strip = TRUE, groups = NULL, xlab = NULL, 
    xlim, ylab = NULL, ylim, varnames, ..., subscripts = !is.null(groups), 
    subset = TRUE)