mountainplot (version 1.2)

mountainplot: Mountainplot

Description

A mountain plot is similar to an empirical CDF, but _decreases_ from .5 down to 1, using a separate scale on the right axis.

Usage

mountainplot(x, data, ...)
# S3 method for formula
mountainplot(x, data = NULL,
  prepanel = "prepanel.mountainplot", panel = "panel.mountainplot",
  ylab = gettext("Folded Empirical CDF"),
  yscale.components = mountainplotyscale.components, scales = list(y =
  list(alternating = 3)), ...)
# S3 method for numeric
mountainplot(x, data = NULL,
  xlab = deparse(substitute(x)), ...)

Arguments

x

Variable in the data.frame 'data'.

data

A data frame

...

Other arguments

prepanel

The prepanel function. Default "prepanel.mountainplot".

panel

The panel function. Default "panel.mountainplot".

ylab

Vertical axis label.

yscale.components

Function for drawing left and right side axes.

scales

The "scales" argument used by lattice functions.

xlab

Horizontal axis label.

Value

A lattice object

References

K. L. Monti. (1995). Folded empirical distribution function curves-mountain plots. The American Statistician, 49, 342--345. http://www.jstor.org/stable/2684570

Xue, J. H., & Titterington, D. M. (2011). The p-folded cumulative distribution function and the mean absolute deviation from the p-quantile. Statistics & Probability Letters, 81(8), 1179-1182.

Examples

# NOT RUN {
data(singer, package = "lattice")
singer <- within(singer, {
section <- voice.part
section <- gsub(" 1", "", section)
section <- gsub(" 2", "", section)
section <- factor(section)
})
mountainplot(~height, data = singer, type='b')
mountainplot(~height|voice.part, data = singer, type='p')
mountainplot(~height|section, data = singer, groups=voice.part, type='l',
auto.key=list(columns=4), as.table=TRUE)

# }