lattice (version 0.11-2)

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 class 'shingle':
plot(x, col, aspect, \dots)
## S3 method for class 'shingle':
print(x, showValues = TRUE, \dots)
## S3 method for class 'shingleLevel':
print(x, \dots)
## S3 method for class 'shingle':
summary(object, \dots)
## S3 method for class 'shingle':
as.data.frame(x, row.names = NULL, optional = FALSE)
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.

Details

A shingle is a data structure used in Trellis, and is meant to be 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, are also applicable to shingles.

There are print methods for shingles, as well as for printing the result of levels() applied to a shingle.

The implementation of shingles is slightly different from S.

equal.count converts x to a shingle. Essentially a wrapper around co.intervals. All arguments are passed to co.intervals

shingle creates a shingle using the given intervals. If intervels 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))
<testonly>data.frame(x = equal.count(rnorm(100)), y = rnorm(100))</testonly>