head | R Documentation |

Returns the first or last parts of a vector, matrix, table, data frame
or function. Since `head()`

and `tail()`

are generic
functions, they may also have been extended to other classes.

head(x, ...) ## Default S3 method: head(x, n = 6L, ...) ## S3 method for class 'matrix' head(x, n = 6L, ...) # is exported as head.matrix() ## NB: The methods for 'data.frame' and 'array' are identical to the 'matrix' one ## S3 method for class 'ftable' head(x, n = 6L, ...) ## S3 method for class 'function' head(x, n = 6L, ...) tail(x, ...) ## Default S3 method: tail(x, n = 6L, keepnums = FALSE, addrownums, ...) ## S3 method for class 'matrix' tail(x, n = 6L, keepnums = TRUE, addrownums, ...) # exported as tail.matrix() ## NB: The methods for 'data.frame', 'array', and 'table' ## are identical to the 'matrix' one ## S3 method for class 'ftable' tail(x, n = 6L, keepnums = FALSE, addrownums, ...) ## S3 method for class 'function' tail(x, n = 6L, ...)

`x` |
an object |

`n` |
an integer vector of length up to |

`keepnums` |
in each dimension, if no names in that dimension are
present, create them using the indices included in that dimension.
Ignored if |

`addrownums` |
deprecated - |

`...` |
arguments to be passed to or from other methods. |

For vector/array based objects, `head()`

(`tail()`

) returns
a subset of the same dimensionality as `x`

, usually of
the same class. For historical reasons, by default they select the
first (last) 6 indices in the first dimension ("rows") or along the
length of a non-dimensioned vector, and the full extent (all indices)
in any remaining dimensions. `head.matrix()`

and
`tail.matrix()`

are exported.

The default and array(/matrix) methods for `head()`

and
`tail()`

are quite general. They will work as is for any class
which has a `dim()`

method, a `length()`

method (only
required if `dim()`

returns `NULL`

), and a `[`

method
(that accepts the `drop`

argument and can subset in all
dimensions in the dimensioned case).

For functions, the lines of the deparsed function are returned as character strings.

When `x`

is an array(/matrix) of dimensionality two and more,
`tail()`

will add dimnames similar to how they would appear in a
full printing of `x`

for all dimensions `k`

where
`n[k]`

is specified and non-missing and `dimnames(x)[[k]]`

(or `dimnames(x)`

itself) is `NULL`

. Specifically, the
form of the added dimnames will vary for different dimensions as follows:

`k=1`

(rows):`"[n,]"`

(right justified with whitespace padding)`k=2`

(columns):`"[,n]"`

(with*no*whitespace padding)`k>2`

(higher dims):`"n"`

, i.e., the indices as*character*values

Setting `keepnums = FALSE`

suppresses this behaviour.

As `data.frame`

subsetting (‘indexing’) keeps
`attributes`

, so do the `head()`

and `tail()`

methods for data frames.

An object (usually) like `x`

but generally smaller. Hence, for
`array`

s, the result corresponds to `x[.., drop=FALSE]`

.
For `ftable`

objects `x`

, a transformed `format(x)`

.

For array inputs the output of `tail`

when `keepnums`

is `TRUE`

,
any dimnames vectors added for dimensions `>2`

are the original
numeric indices in that dimension *as character vectors*. This
means that, e.g., for 3-dimensional array `arr`

,
`tail(arr, c(2,2,-1))[ , , 2]`

and
`tail(arr, c(2,2,-1))[ , , "2"]`

may both be valid but have
completely different meanings.

Patrick Burns, improved and corrected by R-Core. Negative argument added by Vincent Goulet. Multi-dimension support added by Gabriel Becker.

head(letters) head(letters, n = -6L) head(freeny.x, n = 10L) head(freeny.y) head(iris3) head(iris3, c(6L, 2L)) head(iris3, c(6L, -1L, 2L)) tail(letters) tail(letters, n = -6L) tail(freeny.x) ## the bottom-right "corner" : tail(freeny.x, n = c(4, 2)) tail(freeny.y) tail(iris3) tail(iris3, c(6L, 2L)) tail(iris3, c(6L, -1L, 2L)) ## iris with dimnames stripped a3d <- iris3 ; dimnames(a3d) <- NULL tail(a3d, c(6, -1, 2)) # keepnums = TRUE is default here! tail(a3d, c(6, -1, 2), keepnums = FALSE) ## data frame w/ a (non-standard) attribute: treeS <- structure(trees, foo = "bar") (n <- nrow(treeS)) stopifnot(exprs = { # attribute is kept identical(htS <- head(treeS), treeS[1:6, ]) identical(attr(htS, "foo") , "bar") identical(tlS <- tail(treeS), treeS[(n-5):n, ]) ## BUT if I use "useAttrib(.)", this is *not* ok, when n is of length 2: ## --- because [i,j]-indexing of data frames *also* drops "other" attributes .. identical(tail(treeS, 3:2), treeS[(n-2):n, 2:3] ) }) tail(library) # last lines of function head(stats::ftable(Titanic)) ## 1d-array (with named dim) : a1 <- array(1:7, 7); names(dim(a1)) <- "O2" stopifnot(exprs = { identical( tail(a1, 10), a1) identical( head(a1, 10), a1) identical( head(a1, 1), a1 [1 , drop=FALSE] ) # was a1[1] in R <= 3.6.x identical( tail(a1, 2), a1[6:7]) identical( tail(a1, 1), a1 [7 , drop=FALSE] ) # was a1[7] in R <= 3.6.x })

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