shingle(x, intervals=sort(unique(x)))
equal.count(x, ...)
as.shingle(x)
is.shingle(x)## S3 method for class 'shingle':
plot(x, panel, xlab, ylab, \dots)
## S3 method for class 'shingle':
print(x, showValues = TRUE, \dots)
## S3 method for class 'shingleLevel':
as.character(x, \dots)
## S3 method for class 'shingleLevel':
print(x, \dots)
## S3 method for class 'shingle':
summary(object, showValues = FALSE, \dots)
## S3 method for class 'shingle':
[(x, subset, drop = FALSE)
as.factorOrShingle(x, subset, drop)
plot.shingle and
    x[]. An object (list of intervals) of class "shingleLevel" in
    print.shingleLevelxyplot )equal.count are passed on to
    co.intervals.  graphical parameters can be passed as
    arguments to the plot method.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.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.
xyplot,
  co.intervals, Latticez <- equal.count(rnorm(50))
plot(z)
print(z)
print(levels(z))
<testonly>data.frame(x = equal.count(rnorm(100)), y = rnorm(100))</testonly>Run the code above in your browser using DataLab