R: Display marginal distributions

marginal.plot {latticeExtra}

R Documentation

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 felix@nfrac.org

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?"))

[Package latticeExtra version 0.6-25 Index]