marginal.plot: Display marginal distributions

In latticeExtra: Extra Graphical Utilities Based on Lattice

Display marginal distributions

Description

Display marginal distributions of several variables, which may be numeric and/or categorical, on one plot.

Usage

marginal.plot(x,
              data = NULL,
              groups = NULL,
              reorder = !is.table(x),
              plot.points = FALSE,
              ref = TRUE, cut = 0,
              origin = 0, 
              xlab = NULL, ylab = NULL,
              type = c("p", if (is.null(groups)) "h"),
              ...,
              subset = TRUE,
              as.table = TRUE,
              subscripts = TRUE,
              default.scales = list(
                relation = "free",
                abbreviate = TRUE, minlength = 5,
                rot = 30, cex = 0.75, tick.number = 3,
                y = list(draw = FALSE)),
             layout = NULL,
             lattice.options = list(
               layout.heights = list(
                 axis.xlab.padding = list(x = 0),
                 xlab.key.padding = list(x = 0))))

Arguments

x	a data frame or table, or a formula of which the first term is a data frame or table. Otherwise coerced with as.data.frame.
data	an optional data source in which groups and subset may be be evaluated.
groups	term, to be evaluated in data, that is used as a grouping variable.
reorder	whether to reorder factor variables by frequency.
subset	data subset expression, evaluated in data.
plot.points, ref, cut	passed to panel.densityplot.
origin, type	passed to panel.dotplot.
xlab, ylab, as.table, subscripts	see xyplot.
default.scales, layout, lattice.options	see xyplot.
...	passed to panel.densityplot and/or panel.dotplot.

Details

In the case of mixed numeric and categorical variables, the trellis objects from dotplot() and densityplot() are merged.

Value

a trellis object.

Author(s)

Felix Andrews [e-mail]

See Also

panel.dotplot, panel.densityplot

Examples

enviro <- environmental
## make an ordered factor (so it will not be reordered)
enviro$smell <- cut(enviro$ozone, breaks = c(0, 30, 50, Inf),
    labels = c("ok", "hmmm", "yuck"), ordered = TRUE)
marginal.plot(enviro)

## using groups
enviro$is.windy <- factor(enviro$wind > 10,
    levels = c(TRUE, FALSE), labels = c("windy", "calm"))
marginal.plot(enviro[,1:5], data = enviro, groups = is.windy,
    auto.key = list(lines = TRUE))

## support for tables
marginal.plot(Titanic)
## table with groups
marginal.plot(~ Titanic, data = Titanic, groups = Survived,
    type = "b", auto.key = list(title = "Survived?"))

latticeExtra documentation built on July 4, 2022, 5:05 p.m.