latticeExtra (version 0.6-29)

ecdfplot: Trellis Displays of Empirical CDF

Description

Conditional displays of Empirical Cumulative Distribution Functions

Usage

ecdfplot(x, data, …)
# S3 method for formula
ecdfplot(x, data,
         prepanel = "prepanel.ecdfplot", 
         panel = "panel.ecdfplot",
         ylab,
         …)
# S3 method for numeric
ecdfplot(x, data = NULL, xlab, …)
prepanel.ecdfplot(x, f.value = NULL, …)
panel.ecdfplot(x, f.value = NULL, type = "s",
               groups = NULL, qtype = 7,
               ref = TRUE,
               …)

Arguments

x

For ecdfplot, x is the object on which method dispatch is carried out. For the "formula" method, x is a formula describing the form of conditioning plot, and has to be of the form ~x, where x is assumed to be a numeric vector. Further conditioning variables are allowed as usual.

A similar interpretation holds for x in the "numeric" method as well as prepanel.ecdfplot and panel.ecdfplot.

data

For the "formula" method, a data frame containing values for any variables in the formula, as well as those in groups and subset if applicable.

prepanel, panel

panel and prepanel function used to create the display.

xlab, ylab

axis labels; typically a character string or an expression.

groups

a grouing variable of the same length as x. If specified, ECDF plots are computed for each subset defined by unique values of groups and the resulting functions superposed within each panel.

f.value, qtype

Defines how quantiles are calculated. See panel.qqmath.

ref

logical, whether a reference line should be drawn at 0 and 1

type

how the plot is rendered; see panel.xyplot

…

extra arguments, passed on as appropriate. Standard lattice arguments as well as arguments to panel.ecdfplot can be supplied directly in the high level ecdfplot call.

Value

ecdfplot produces 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

qqmath for Quantile plots which are more generally useful, especially when comparing with a theoretical distribution other than uniform. An ECDF plot is essentially a transposed version (i.e., with axes switched) of a uniform quantile plot.

Examples

# NOT RUN {
data(singer, package = "lattice")
ecdfplot(~height | voice.part, data = singer)

# }