Description Accessors Subsetting Combining See Also Examples
RectangularData is a virtual class with no slots to be extended by classes that aim at representing objects with a rectangular shape. Current RectangularData derivatives are DataFrame, DelayedMatrix, SummarizedExperiment, and Assays objects.
RectangularData derivatives are expected to support the 2D API: at least
dim()
, but also typically dimnames
, [
(the 2D form
x[i, j]
), bindROWS()
, and bindCOLS()
.
In the following code snippets, x
is a RectangularData derivative.
nrow(x)
, ncol(x)
:
Get the number of rows and columns, respectively.
NROW(x)
, NCOL(x)
:
Same as nrow(x)
and ncol(x)
, respectively.
dim(x)
:
Length two integer vector defined as c(nrow(x), ncol(x))
.
rownames(x)
, colnames(x)
:
Get the names of the rows and columns, respectively.
dimnames(x)
:
Length two list of character vectors defined as
list(rownames(x), colnames(x))
.
In the code snippets below, x
is a RectangularData derivative.
x[i, j, drop=TRUE]
:
Return a new RectangularData derivative of the same class as x
made of the selected rows and columns.
For single row and/or column selection, the drop
argument
specifies whether or not to "drop the dimensions" of the result.
More precisely, when drop=TRUE
(the default), a single
row or column is returned as a vectorlike object (of length/NROW
equal to ncol(x)
if a single row, or equal to nrow(x)
if a single column).
Not all RectangularData derivatives support the drop
argument.
For example DataFrame and DelayedMatrix
objects support it (only for a single column
selection for DataFrame objects), but
SummarizedExperiment objects don't
(drop
is ignored for these objects and subsetting always
returns a SummarizedExperiment
derivative of the same class as x
).
head(x, n=6L)
:
If n
is nonnegative, returns the first n rows of the
RectangularData derivative.
If n
is negative, returns all but the last abs(n)
rows of the RectangularData derivative.
tail(x, n=6L)
:
If n
is nonnegative, returns the last n rows of the
RectangularData derivative.
If n
is negative, returns all but the first abs(n)
rows of the RectangularData derivative.
subset(x, subset, select, drop=FALSE)
:
Return a new RectangularData derivative using:
logical expression indicating rows to keep, where missing values are taken as FALSE.
expression indicating columns to keep.
passed on to [
indexing operator.
In the code snippets below, x
is a RectangularData derivative.
rbind(...)
: Creates a new RectangularData derivative by
combining the rows of the RectangularData derivatives in ...
.
cbind(...)
: Creates a new RectangularData derivative by
combining the columns of the RectangularData derivatives in ...
.
DataFrame for an implementation that mimics data.frame
.
data.frame
1  showClass("RectangularData") # shows (some of) the known subclasses

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