Take a sequence of vector, matrix or data frames arguments and combine by columns or rows, respectively. These are generic functions with methods for other R classes.
cbind(..., deparse.level = 1) rbind(..., deparse.level = 1)
- vectors or matrices. These can be given as named arguments. Other R objects will be coerced as appropriate: see sections ‘Details’ and ‘Value’. (For the
cbindthese can be further arguments to
- integer controlling the construction of labels in the case of non-matrix-like arguments (for the default method):
deparse.level = 0constructs no labels; the default,
deparse.level = 1 or 2constructs labels from the argument names, see the ‘Value’ section below.
rbind are S3 generic, with methods for data frames. The data frame method will be used if at least one argument is a data frame and the rest are vectors or matrices. There can be other methods; in particular, there is one for time series objects. See the section on ‘Dispatch’ for how the method to be used is selected.
In the default method, all the vectors/matrices must be atomic (see
vector) or lists. Expressions are not allowed. Language objects (such as formulae and calls) and pairlists will be coerced to lists: other objects (such as names and external pointers) will be included as elements in a list result. Any classes the inputs might have are discarded (in particular, factors are replaced by their internal codes).
If there are several matrix arguments, they must all have the same number of columns (or rows) and this will be the number of columns (or rows) of the result. If all the arguments are vectors, the number of columns (rows) in the result is equal to the length of the longest vector. Values in shorter arguments are recycled to achieve this length (with a
warning if they are recycled only fractionally).
When the arguments consist of a mix of matrices and vectors the number of columns (rows) of the result is determined by the number of columns (rows) of the matrix arguments. Any vectors have their values recycled or subsetted to achieve this length.
rbind), vectors of zero length (including
NULL) are ignored unless the result would have zero rows (columns), for S compatibility. (Zero-extent matrices do not occur in S3 and are not ignored in R.)
For the default method, a matrix combining the
... arguments column-wise or row-wise. (Exception: if there are no inputs or all the inputs are
NULL, the value is
The type of a matrix result determined from the highest type of any of the inputs in the hierarchy raw < logical < integer < double < complex < character < list .
rbind) the column (row) names are taken from the
rownames) of the arguments if these are matrix-like. Otherwise from the names of the arguments or where those are not supplied and
deparse.level > 0, by deparsing the expressions given, for
deparse.level = 1 only if that gives a sensible name (a ‘symbol’, see
cbind row names are taken from the first argument with appropriate names: rownames for a matrix, or names for a vector of length the number of rows of the result.
rbind column names are taken from the first argument with appropriate names: colnames for a matrix, or names for a vector of length the number of columns of the result.
Data frame methods
cbind data frame method is just a wrapper for
data.frame(..., check.names = FALSE). This means that it will split matrix columns in data frame arguments, and convert character columns to factors unless
stringsAsFactors = FALSE is specified.
rbind data frame method first drops all zero-column and zero-row arguments. (If that leaves none, it returns the first argument with columns otherwise a zero-column zero-row data frame.) It then takes the classes of the columns from the first data frame, and matches columns by name (rather than by position). Factors have their levels expanded as necessary (in the order of the levels of the levelsets of the factors encountered) and the result is an ordered factor if and only if all the components were ordered factors. (The last point differs from S-PLUS.) Old-style categories (integer vectors with levels) are promoted to factors.
The method dispatching is not done via
UseMethod(), but by C-internal dispatching. Therefore there is no need for, e.g.,
The dispatch algorithm is described in the source file (‘.../src/main/bind.c’) as
- For each argument we get the list of possible class memberships from the class attribute.
- We inspect each class in turn to see if there is an applicable method.
- If we find an applicable method we make sure that it is identical to any method determined for prior arguments. If it is identical, we proceed, otherwise we immediately drop through to the default code.
If you want to combine other objects with data frames, it may be necessary to coerce them to data frames first. (Note that this algorithm can result in calling the data frame method if all the arguments are either data frames or vectors, and this will result in the coercion of character vectors to factors.)
Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988) The New S Language. Wadsworth & Brooks/Cole.
m <- cbind(1, 1:7) # the '1' (= shorter vector) is recycled m m <- cbind(m, 8:14)[, c(1, 3, 2)] # insert a column m cbind(1:7, diag(3)) # vector is subset -> warning cbind(0, rbind(1, 1:3)) cbind(I = 0, X = rbind(a = 1, b = 1:3)) # use some names xx <- data.frame(I = rep(0,2)) cbind(xx, X = rbind(a = 1, b = 1:3)) # named differently cbind(0, matrix(1, nrow = 0, ncol = 4)) #> Warning (making sense) dim(cbind(0, matrix(1, nrow = 2, ncol = 0))) #-> 2 x 1 ## deparse.level dd <- 10 rbind(1:4, c = 2, "a++" = 10, dd, deparse.level = 0) # middle 2 rownames rbind(1:4, c = 2, "a++" = 10, dd, deparse.level = 1) # 3 rownames (default) rbind(1:4, c = 2, "a++" = 10, dd, deparse.level = 2) # 4 rownames
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