| Extract {base} | R Documentation |
Operators acting on vectors, matrices, arrays and lists to extract or replace subsets.
x[i] x[i, j, ... , drop = TRUE] x[[i]] x[[i, j, ...]] x$name
x |
object from which to extract elements or in which to replace elements. |
i, j, ..., name |
indices specifying elements to extract or replace. i, j are
numeric or character or empty whereas name must be
character or an (unquoted) name. Numeric values are coerced to
integer as by as.integer. For [[ and $
character strings are normally partially matched to the names of the
object if exact matching does not succeed.
For [-indexing only: i, j, ... can be
logical vectors, indicating elements/slices to select. Such vectors
are recycled if necessary to match the corresponding extent. When
indexing arrays, i can be a (single) matrix with as many
columns as there are dimensions of x; the result is then a
vector with elements corresponding to the sets of indices in each
row of i.
i, j, ... can also be negative integers, indicating
elements/slices to leave out of the selection.
|
drop |
For matrices and arrays. If TRUE the
result is coerced to the lowest possible dimension (see examples
below). This only works for extracting elements, not for the
replacement forms. |
These operators are generic. You can write methods to handle subsetting
of specific classes of objects, see InternalMethods as well as
[.data.frame and [.factor. The
descriptions here apply only to the default methods.
The most important distinction between [, [[ and
$ is that the [ can select more than one element whereas
the other two select a single element.
The default methods work somewhat differently for atomic vectors,
matrices/arrays and for recursive (list-like, see
is.recursive) objects. $ returns NULL
except for recursive objects, and is only discussed there.
Indexing can occur on the right-hand-side of an expression for
extraction, or on the left-hand-side for replacement.
When an index expression appears on the left side of an assignment
then that part of x is set to the value of the right hand side
of the assignment.
The usual form of indexing is "[". "[[" can be used to
select a single element, but "[" can also do so (but will not
partially match a character index).
The index object i can be numeric, logical, character or empty.
Indexing by factors is allowed and is equivalent to indexing by the
numeric codes (see factor) and not by the character
values which are printed (for which use [as.character(i)]).
An empty index selects all values: this is most often used to replace
all the entries but keep the attributes.
Matrices and arrays are vectors with a dimension attribute and so all
the vector forms of indexing can be used with a single index. The
result will be an unnamed vector unless x is one-dimensional
when it will be a one-dimensional array.
The most common form of indexing a k-dimensional array is to
specify k indices to [. As for vector indexing, the
indices can be numeric, logical, character, empty or even factor.
An empty index (a comma separated blank) indicates that all entries in
that dimension are selected.
The argument drop applies to this form of indexing.
A third form of indexing is via a numeric matrix with the one column
for each dimension: each row of the index matrix then selects a single
element of the array, and the result is a vector. Negative indices are
not allowed in the index matrix. NA and zero values are allowed:
rows of an index matrix containing a zero are ignored, whereas rows
containing an NA produce an NA in the result.
A vector obtained by matrix indexing will be unnamed unless
x is one-dimensional when the row names (if any) will be
indexed to provide names for the result.
Indexing by [ is similar to atomic vectors and selects a list
of the specified element(s).
Both [[ and $ select a single element of the list.
The main difference is that $ does not allow
computed indices, whereas [[ does. x$name is equivalent
to x[["name"]].
[ and [[ are sometimes applied to other recursive
objects such as calls and expressions. Pairlists are
coerced to lists for extraction by [, but all three operators
can be used for replacement.
As from R 1.7.0 [[ can be applied recursively to lists, so
that if the single index i is a vector of length p,
alist[[i]] is equivalent to alist[[i1]]...[[ip]]
providing all but the final indexing results in a list.
When $<- is applied to a NULL x, it first coerces
x to list(). This is what also happens with [[<-
if the replacement value value is of length greater than one:
if value has length 1 or 0, x is first coerced to a
zero-length vector of the type of value.
As from R 1.9.0 both $ and [[ can be applied to
environments. Only character arguments are allowed and no partial
matching is done (this is in contrast to the behavior for lists). The
semantics of these operations is basically that of get(i, env=x,
inherits=FALSE). If no match is found then NULL is
returned. The assignment versions, $<- and
[[<-, can also be used. Again, only character arguments are
allowed and no partial matching is done. The semantics in this case
are those of assign(i, value, env=x, inherits=FALSE). Such an
assignment will either create a new binding or change the existing
binding in x.
When extracting, a numerical, logical or character NA picks
an unknown element and so returns NA in the corresponding
element of a logical, integer, numeric, complex or character result,
and NULL for a list.
When replacing (that is using subscripting on the lhs of an
assignment) NA does not select any element to be replaced. As
there is ambiguity as to whether an element of the rhs should
be used or not (and R handled this inconsistently prior to R 2.0.0),
this is only allowed if the rhs value is of length one (so the two
interpretations would have the same outcome).
Note that these operations do not match their index arguments in the
standard way: argument names are ignored and positional matching only is
used. So m[j=2,i=1] is equivalent to m[2,1] and
not to m[1,2].
This may not be true for methods defined for them; for example it is
not true for the data.frame methods described in
[.data.frame.
To avoid confusion, do not name index arguments (but drop must
be named).
Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988) The New S Language. Wadsworth & Brooks/Cole.
[.data.frame and [.factor for the
behaviour when applied to data.frame and factors.
Syntax for operator precedence, and the
R Language reference manual about indexing details.
x <- 1:12; m <- matrix(1:6,nr=2); li <- list(pi=pi, e = exp(1))
x[10] # the tenth element of x
x <- x[-1] # delete the 1st element of x
m[1,] # the first row of matrix m
m[1, , drop = FALSE] # is a 1-row matrix
m[,c(TRUE,FALSE,TRUE)]# logical indexing
m[cbind(c(1,2,1),3:1)]# matrix index
m <- m[,-1] # delete the first column of m
li[[1]] # the first element of list li
y <- list(1,2,a=4,5)
y[c(3,4)] # a list containing elements 3 and 4 of y
y$a # the element of y named a
## non-integer indices are truncated:
(i <- 3.999999999) # "4" is printed
(1:5)[i] # 3
## recursive indexing into lists
z <- list( a=list( b=9, c='hello'), d=1:5)
unlist(z)
z[[c(1, 2)]]
z[[c(1, 2, 1)]] # both "hello"
z[[c("a", "b")]] <- "new"
unlist(z)
## check $ and [[ for environments
e1 <- new.env()
e1$a <- 10
e1[["a"]]
e1[["b"]] <- 20
e1$b
ls(e1)