lattice (version 0.22-5)

C_07_shingles: shingles

Description

Functions to handle shingles

Usage

shingle(x, intervals=sort(unique(x)))
equal.count(x, ...)
as.shingle(x)
is.shingle(x)
# S3 method for shingle
plot(x, panel, xlab, ylab, ...)
# S3 method for shingle
print(x, showValues = TRUE, ...)
# S3 method for shingleLevel
as.character(x, ...)
# S3 method for shingleLevel
print(x, ...)
# S3 method for shingle
summary(object, showValues = FALSE, ...)
# S3 method for shingle
[(x, subset, drop = FALSE)
as.factorOrShingle(x, subset, drop)

Value

x$intervals for levels.shingle(x), logical for is.shingle, an object of class "trellis" for

plot (printed by default by print.trellis), and an object of class "shingle" for the others.

Arguments

x

numeric variable or R object, shingle in plot.shingle and x[]. An object (list of intervals) of class "shingleLevel" in print.shingleLevel

object

shingle object to be summarized

showValues

logical, whether to print the numeric part. If FALSE, only the intervals are printed

intervals

numeric vector or matrix with 2 columns

subset

logical vector

drop

whether redundant shingle levels are to be dropped

panel, xlab, ylab

standard Trellis arguments (see xyplot )

...

other arguments, passed down as appropriate. For example, extra arguments to equal.count are passed on to co.intervals. graphical parameters can be passed as arguments to the plot method.

Author

Deepayan Sarkar

Details

A shingle is a data structure used in Trellis, and is a generalization of factors to ‘continuous’ variables. It consists of a numeric vector along with some possibly overlapping intervals. These intervals are the ‘levels’ of the shingle. The levels and nlevels functions, usually applicable to factors, also work on shingles. The implementation of shingles is slightly different from S.

There are print methods for shingles, as well as for printing the result of levels() applied to a shingle. For use in labelling, the as.character method can be used to convert levels of a shingle to character strings.

equal.count converts x to a shingle using the equal count algorithm. This is essentially a wrapper around co.intervals. All arguments are passed to co.intervals.

shingle creates a shingle using the given intervals. If intervals is a vector, these are used to form 0 length intervals.

as.shingle returns shingle(x) if x is not a shingle.

is.shingle tests whether x is a shingle.

plot.shingle displays the ranges of shingles via rectangles. print.shingle and summary.shingle describe the shingle object.

See Also

xyplot, co.intervals, Lattice

Examples

z <- equal.count(rnorm(50))
plot(z)
print(z)
print(levels(z))
data.frame(x = equal.count(rnorm(100)), y = rnorm(100))