duplicated {base} | R Documentation |
duplicated()
determines which elements of a vector or data frame are duplicates
of elements with smaller subscripts, and returns a logical vector
indicating which elements (rows) are duplicates.
anyDuplicated(.)
is a “generalized” more efficient
shortcut for any(duplicated(.))
.
duplicated(x, incomparables = FALSE, ...) ## Default S3 method: duplicated(x, incomparables = FALSE, fromLast = FALSE, ...) ## S3 method for class 'array' duplicated(x, incomparables = FALSE, MARGIN = 1, fromLast = FALSE, ...) anyDuplicated(x, incomparables = FALSE, ...) ## Default S3 method: anyDuplicated(x, incomparables = FALSE, fromLast = FALSE, ...) ## S3 method for class 'array' anyDuplicated(x, incomparables = FALSE, MARGIN = 1, fromLast = FALSE, ...)
x |
a vector or a data frame or an array or |
incomparables |
a vector of values that cannot be compared.
|
fromLast |
logical indicating if duplication should be considered
from the reverse side, i.e., the last (or rightmost) of identical
elements would correspond to |
... |
arguments for particular methods. |
MARGIN |
the array margin to be held fixed: see
|
These are generic functions with methods for vectors (including lists), data frames and arrays (including matrices).
For the default methods, and whenever there are equivalent method
definitions for duplicated
and anyDuplicated
,
anyDuplicated(x,...)
is a “generalized” shortcut for
any(duplicated(x,...))
, in the sense that it returns the
index i
of the first duplicated entry x[i]
if
there is one, and 0
otherwise. Their behaviours may be
different when at least one of duplicated
and
anyDuplicated
has a relevant method.
duplicated(x, fromLast=TRUE)
is equivalent to but faster than
rev(duplicated(rev(x)))
.
The data frame method works by pasting together a character
representation of the rows separated by \r
, so may be imperfect
if the data frame has characters with embedded carriage returns or
columns which do not reliably map to characters.
The array method calculates for each element of the sub-array
specified by MARGIN
if the remaining dimensions are identical
to those for an earlier (or later, when fromLast=TRUE
) element
(in row-major order). This would most commonly be used to find
duplicated rows (the default) or columns (with MARGIN = 2
).
Note that MARGIN = 0
returns an array of the same
dimensionality attributes as x
.
Missing values are regarded as equal, but NaN
is not equal to
NA_real_
.
Values in incomparables
will never be marked as duplicated.
This is intended to be used for a fairly small set of values and will
not be efficient for a very large set.
When used on a data frame with more than one column, or an array or matrix when comparing dimensions of length greater than one, this tests for identity of character representations. This will catch people who unwisely rely on exact equality of floating-point numbers!
Character strings will be compared as byte sequences if any input is
marked as "bytes"
.
duplicated()
:
For a vector input, a logical vector of the same length as
x
. For a data frame, a logical vector with one element for
each row. For a matrix or array, and when MARGIN = 0
, a
logical array with the same dimensions and dimnames.
anyDuplicated()
: a non-negative integer (of length one).
Using this for lists is potentially slow, especially if the elements
are not atomic vectors (see vector
) or differ only
in their attributes. In the worst case it is O(n^2).
Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988) The New S Language. Wadsworth & Brooks/Cole.
x <- c(9:20, 1:5, 3:7, 0:8) ## extract unique elements (xu <- x[!duplicated(x)]) ## similar, same elements but different order: (xu2 <- x[!duplicated(x, fromLast = TRUE)]) ## xu == unique(x) but unique(x) is more efficient stopifnot(identical(xu, unique(x)), identical(xu2, unique(x, fromLast = TRUE))) duplicated(iris)[140:143] duplicated(iris3, MARGIN = c(1, 3)) anyDuplicated(iris) ## 143 anyDuplicated(x) anyDuplicated(x, fromLast = TRUE)