DataFrameList-class: List of DataFrames
Description
Represents a list of DataFrame objects.
The SplitDataFrameList class contains the additional restriction
that all the columns be of the same name and type. Internally it is stored
as a list of DataFrame objects and extends
List.Accessors
In the following code snippets, x is a DataFrameList.
dim(x): Get the two element integer vector indicating
the number of rows and columns over the entire dataset.dimnames(x): Get the list of two character vectors,
the first holding the rownames (possibly NULL) and the second
the column names.
columnMetadata(x): Get the DataFrame of
metadata along the columns, i.e., where each column in x is
represented by a row in the metadata. The metadata is common
across all elements of x. Note that
calling mcols(x) returns the metadata on
the DataFrame elements of x.
columnMetadata(x) <- value: Set the DataFrame
of metadata for the columns.
Subsetting
In the following code snippets, x is a SplitDataFrameList. In
general x follows the conventions of
SimpleList/CompressedList with the following addition:
-
x[i,j,drop]: If matrix subsetting is used, i selects
either the list elements or the rows within the list elements as
determined by the [ method for
SimpleList/CompressedList, j selects the columns,
and drop is used when one column is selected and output can
be coerced into an AtomicList or RangesList subclass.
x[i,j] <- value: If matrix subsetting is used, i
selects either the list elements or the rows within the list elements
as determined by the [<- method for
SimpleList/CompressedList, j selects the columns
and value is the replacement value for the selected region.
Constructor
DataFrameList(...): Concatenates the DataFrame
objects in ... into a new DataFrameList.SplitDataFrameList(..., compress = TRUE, cbindArgs =
FALSE): If cbindArgs is FALSE, the ...
arguments are coerced to DataFrame objects and concatenated
to form the result. The arguments must have the same number and
names of columns. If cbindArgs is TRUE, the
arguments are combined as columns. The arguments must then be the
same length, with each element of an argument mapping to an
element in the result. If compress = TRUE, returns a
CompressedSplitDataFrameList; else returns a
SimpleSplitDataFrameList.
Combining
In the following code snippets, objects in ... are of class
DataFrameList.
-
rbind(...): Creates a new DataFrameList containing
the element-by-element row concatenation of the objects in ....
-
cbind(...): Creates a new DataFrameList containing
the element-by-element column concatenation of the objects in ....
Transformation
transform(`_data`, ...): Transforms a
SplitDataFrame in a manner analogous to the
base transform, where the columns are List
objects adhering to the structure of _data.
Coercion
In the following code snippets, x is a DataFrameList.
as(from, "DataFrame"): Coerces a
SplitDataFrameList to a DataFrame, which has a column
for every column in from, except each column is a
List with the same structure as from.
as(from, "SplitDataFrameList"): By default, simply
calls the SplitDataFrameList constructor
on from. If from is a List, each element
of from is passed as an argument
to SplitDataFrameList, like calling as.list on a
vector. If from is a DataFrame, each row becomes an
element in the list.stack(x, index.var = "name"): Unlists x and
adds a column named index.var to the result, indicating the
element of x from which each row was obtained.
-
as.data.frame(x, row.names = NULL, optional = FALSE,
..., value.name = "value", use.outer.mcols = FALSE,
group_name.as.factor = FALSE):
Coerces x to a data.frame. See as.data.frame on the
List man page for details (?List).
See Also
DataFrame, RangedData,
which uses a DataFrameList to split the data by the spaces.