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.shingleLevel
xyplot
)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
, Lattice
z <- equal.count(rnorm(50))
plot(z)
print(z)
print(levels(z))
<testonly>data.frame(x = equal.count(rnorm(100)), y = rnorm(100))</testonly>
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