aggregate-methods | R Documentation |
The S4Vectors package defines aggregate
methods
for Vector, Rle, and List objects.
## S4 method for signature 'Vector'
aggregate(x, by, FUN, start=NULL, end=NULL, width=NULL,
frequency=NULL, delta=NULL, ..., simplify=TRUE)
## S4 method for signature 'Rle'
aggregate(x, by, FUN, start=NULL, end=NULL, width=NULL,
frequency=NULL, delta=NULL, ..., simplify=TRUE)
## S4 method for signature 'List'
aggregate(x, by, FUN, start=NULL, end=NULL, width=NULL,
frequency=NULL, delta=NULL, ..., simplify=TRUE)
x |
A Vector, Rle, or List object. |
by |
An object with If |
FUN |
The function, found via |
start , end , width |
The start, end, and width of the subsets. If |
frequency , delta |
Optional arguments that specify the sampling frequency and increment
within the subsets (in the same fashion as |
... |
Optional arguments to |
simplify |
A logical value specifying whether the result should be simplified to a vector or matrix if possible. |
Subsets of x
can be specified either via the by
argument
or via the start
, end
, width
, frequency
, and
delta
arguments.
For example, if start
and end
are specified, then:
aggregate(x, FUN=FUN, start=start, end=end, ..., simplify=simplify)
is equivalent to:
sapply(seq_along(start), function(i) FUN(x[start[i]:end[i]], ...), simplify=simplify)
(replace x[start[i]:end[i]]
with 2D-style subsetting
x[start[i]:end[i], ]
if x
is a DataFrame object).
The aggregate
function in the stats
package.
Vector, Rle, List, and DataFrame objects.
The start
,
end
, and
width
generic functions defined in
the BiocGenerics package.
x <- Rle(10:2, 1:9)
aggregate(x, x > 4, mean)
aggregate(x, FUN=mean, start=1:26, width=20)
## Note that aggregate() works on a DataFrame object the same way it
## works on an ordinary data frame:
aggregate(DataFrame(state.x77), list(Region=state.region), mean)
aggregate(weight ~ feed, data=DataFrame(chickwts), mean)
library(IRanges)
by <- IRanges(start=1:26, width=20, names=LETTERS)
aggregate(x, by, is.unsorted)
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