Rle objects
The Rle class is a general container for storing an atomic vector
that is stored in a run-length encoding format. It is based on the
rle function from the base package.
Rle(values, lengths):
This constructor creates an Rle instance out of an atomic
vector or factor object values and an integer or numeric vector
lengths with all positive elements that represent how many times
each value is repeated. The length of these two vectors must be the same.
lengths can be missing in which case values is turned
into an Rle.
In the code snippets below, x is an Rle object:
runLength(x):
Returns the run lengths for x.
runValue(x):
Returns the run values for x.
nrun(x):
Returns the number of runs in x.
start(x):
Returns the starts of the runs for x.
end(x):
Returns the ends of the runs for x.
width(x):
Same as runLength(x).
In the code snippets below, x is an Rle object:
runLength(x) <- value:
Replaces x with a new Rle object using run values
runValue(x) and run lengths value.
runValue(x) <- value:
Replaces x with a new Rle object using run values
value and run lengths runLength(x).
In the code snippets below, from is an atomic vector:
as(from, "Rle"):
This coercion creates an Rle instances out of an atomic
vector from.
In the code snippets below, x and from are Rle objects:
as.vector(x, mode="any"), as(from, "vector"):
Creates an atomic vector based on the values contained in
x. The vector will be coerced to the requested mode,
unless mode is "any", in which case the most appropriate
type is chosen.
as.factor(x), as(from, "factor"): Creates a factor object
based on the values contained in x.
as.data.frame(x), as(from, "data.frame"): Creates
a data.frame with a single column holding the result of
as.vector(x).
decode(x): Converts an Rle to its native form, such as an
atomic vector or factor. Calling decode on a non-Rle will
return x by default, so it is generally safe for ensuring
that an object is native.
In the code snippets below, x is an Rle object:
x[i, drop=getOption("dropRle", default=FALSE)]:
Subsets x by index i, where i can be positive
integers, negative integers, a logical vector of the same length as
x, an Rle object of the same length as x
containing logical values, or an IRanges object.
When drop=FALSE returns an Rle object. When drop=TRUE,
returns an atomic vector.
x[i] <- value:
Replaces elements in x specified by i with corresponding
elements in value. Supports the same types for i as
x[i].
x %in% table:
Returns a logical Rle representing set membership in
table.
c(x, ..., ignore.mcols=FALSE):
Concatenate Rle object x and the Rle objects in
... together.
See ?c in this package (the S4Vectors
package) for more information about concatenating Vector derivatives.
append(x, values, after = length(x)):
Insert one Rle into another Rle.
valuesthe Rle to insert.
afterthe subscript in x after which the values
are to be inserted.
findRun(x, vec):
Returns an integer vector indicating the run indices in Rle vec
that are referenced by the indices in the integer vector x.
head(x, n = 6L):
If n is non-negative, returns the first n elements of x.
If n is negative, returns all but the last abs(n) elements
of x.
is.na(x):
Returns a logical Rle indicating which values are NA.
is.finite(x):
Returns a logical Rle indicating which values are finite.
is.unsorted(x, na.rm = FALSE, strictly = FALSE):
Returns a logical value specifying if x is unsorted.
na.rmremove missing values from check.
strictlycheck for _strictly_ increasing values.
length(x):
Returns the underlying vector length of x.
match(x, table, nomatch = NA_integer_, incomparables = NULL):
Matches the values in x to table:
tablethe values to be matched against.
nomatchthe value to be returned in the case when no match is found.
incomparablesa vector of values that cannot be matched.
Any value in x matching a value in this vector is assigned
the nomatch value.
rep(x, times, length.out, each), rep.int(x, times):
Repeats the values in x through one of the following conventions:
timesVector giving the number of times to repeat each
element if of length length(x), or to repeat the whole vector
if of length 1.
length.outNon-negative integer. The desired length of the output vector.
eachNon-negative integer. Each element of x is
repeated each times.
rev(x):
Reverses the order of the values in x.
show(object):
Prints out the Rle object in a user-friendly way.
order(..., na.last=TRUE, decreasing=FALSE, method=c("auto", "shell", "radix")):
Returns a permutation which rearranges its first argument
into ascending or descending order, breaking ties by further
arguments. See order.
sort(x, decreasing=FALSE, na.last=NA):
Sorts the values in x.
decreasingIf TRUE, sort values in decreasing
order. If FALSE, sort values in increasing order.
na.lastIf TRUE, missing values are placed last.
If FALSE, they are placed first. If NA, they are
removed.
subset(x, subset):
Returns a new Rle object made of the subset using logical vector
subset.
table(...):
Returns a table containing the counts of the unique values. Supported
arguments include useNA with values of ‘no’ and ‘ifany’.
Multiple Rle's must be concatenated with c() before calling
table.
tabulate(bin, nbins = max(bin, 1L, na.rm = TRUE)):
Just like tabulate, except optimized for Rle.
tail(x, n = 6L):
If n is non-negative, returns the last n elements of x.
If n is negative, returns all but the first abs(n) elements
of x.
unique(x, incomparables = FALSE, ...):
Returns the unique run values. The incomparables argument takes a
vector of values that cannot be compared with FALSE being a special
value that means that all values can be compared.
In the code snippets below, x and y are Rle object or
some other vector-like object:
setdiff(x, y): Returns the unique elements in
x that are not in y.
union(x, y):
Returns the unique elements in either x or y.
intersect(x, y):
Returns the unique elements in both x and y.
P. Aboyoun
Rle-utils, Rle-runstat, and aggregate for more operations on Rle objects.
x <- Rle(10:1, 1:10) x runLength(x) runValue(x) nrun(x) diff(x) unique(x) sort(x) x[c(1,3,5,7,9)] x > 4 x2 <- Rle(LETTERS[c(21:26, 25:26)], 8:1) table(x2) y <- Rle(c(TRUE,TRUE,FALSE,FALSE,TRUE,FALSE,TRUE,TRUE,TRUE)) y as.vector(y) rep(y, 10) c(y, x > 5)
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