Description Accessors Subsetting Combining Looping Transforming Utilities Coercion Statistical modeling with DataTable See Also Examples
DataTable is an API only (i.e. virtual class with no slots) for accessing objects with a rectangular shape like DataFrame or DelayedMatrix objects.
In the following code snippets, x
is a DataTable
.
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 DataTable object.
x[i, j, drop=TRUE]
:
Return a new DataTable object made of the selected rows and columns. For
single column selection, the drop
argument specifies whether or not
to coerce the returned sequence to a standard vector.
head(x, n=6L)
:
If n
is nonnegative, returns the first n rows of the DataTable
object.
If n
is negative, returns all but the last abs(n)
rows of
the DataTable object.
tail(x, n=6L)
:
If n
is nonnegative, returns the last n rows of the DataTable
object.
If n
is negative, returns all but the first abs(n)
rows of
the DataTable object.
subset(x, subset, select, drop=FALSE)
:
Return a new DataTable object using:
logical expression indicating rows to keep, where missing values are taken as FALSE.
expression indicating columns to keep.
passed on to [
indexing operator.
na.omit(object)
:
Returns a subset with incomplete cases removed.
na.exclude(object)
:
Returns a subset with incomplete cases removed (but to be
included with NAs in statistical results).
is.na(x)
:
Returns a logical matrix indicating which cells are missing.
complete.cases(x)
:
Returns a logical vector identifying which cases have no missing values.
In the code snippets below, x
is a DataTable object.
cbind(...)
: Creates a new DataTable
by combining the columns
of the DataTable
objects in ...
.
rbind(...)
: Creates a new DataTable
by combining the rows of
the DataTable
objects in ...
.
merge(x, y, ...)
: Merges two DataTable
objects x
and y
, with arguments in ...
being
the same as those allowed by the base merge
. It is
allowed for either x
or y
to be a data.frame
.
In the code snippets below, x
is a DataTable object.
by(data, INDICES, FUN, ..., simplify = TRUE)
:
Apply FUN
to each group of data
, a DataTable
,
formed by the factor (or list of factors) INDICES
. Exactly
the same contract as as.data.frame
.
In the code snippets below, x
is a DataTable object.
transform(`_data`, ...)
: adds or replaces columns based on
expressions in ...
. See transform
.
duplicated(x)
: Returns a logical vector indicating the rows
that are identical to a previous row.
unique(x)
: Returns a new DataTable
after
removing the duplicated rows from x
.
as.env(x, enclos = parent.frame())
:
Creates an environment from x
with a symbol for each
colnames(x)
. The values are not actually copied into the
environment. Rather, they are dynamically bound using
makeActiveBinding
. This prevents unnecessary copying
of the data from the external vectors into R vectors. The values
are cached, so that the data is not copied every time the symbol
is accessed.
as.data.frame(x, row.names=NULL, optional=FALSE,
...)
:
Creates the corresponding data.frame.
A number of wrappers are implemented for performing statistical procedures, such as model fitting, with DataTable objects.
xtabs(formula = ~., data, subset, na.action,
exclude = c(NA, NaN), drop.unused.levels = FALSE)
:
Like the original xtabs
, except data
is a
DataTable
.
DataFrame for an implementation that mimics data.frame
.
data.frame
1 2 3 4 5  showClass("DataTable") # shows (some of) the known subclasses
library(IRanges)
df < DataFrame(as.data.frame(UCBAdmissions))
xtabs(Freq ~ Gender + Admit, df)

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