lapply {base} | R Documentation

## Apply a Function over a List or Vector

### Description

`lapply` returns a list of the same length as `X`, each element of which is the result of applying `FUN` to the corresponding element of `X`.

`sapply` is a user-friendly version and wrapper of `lapply` by default returning a vector, matrix or, if `simplify="array"`, an array if appropriate, by applying `simplify2array()`. `sapply(x, f, simplify=FALSE, USE.NAMES=FALSE)` is the same as `lapply(x,f)`.

`vapply` is similar to `sapply`, but has a pre-specified type of return value, so it can be safer (and sometimes faster) to use.

`replicate` is a wrapper for the common use of `sapply` for repeated evaluation of an expression (which will usually involve random number generation).

`simplify2array()` is the utility called from `sapply()` when `simplify` is not false and is similarly called from `mapply()`.

### Usage

    lapply(X, FUN, ...)

    sapply(X, FUN, ..., simplify = TRUE, USE.NAMES = TRUE)

    vapply(X, FUN, FUN.VALUE, ..., USE.NAMES = TRUE)

    replicate(n, expr, simplify = "array")

    simplify2array(x, higher=TRUE)

### Arguments

`X` | a vector (atomic or list) or an `expression` object. Other objects (including classed objects) will be coerced by `base::as.list`.
`FUN` | the function to be applied to each element of `X`: see ‘Details’. In the case of functions like `+`, `%*%`, the function name must be backquoted or quoted.
`...` | optional arguments to `FUN`.
`simplify` | logical or character string; should the result be simplified to a vector, matrix or higher dimensional array if possible? For `sapply` it must be named and not abbreviated. The default value, `TRUE`, returns a vector or matrix if appropriate, whereas if `simplify = "array"` the result may be an `array` of “rank” (=`length(dim(.))`) one higher than the result of `FUN(X[[i]])`.
`USE.NAMES` | logical; if `TRUE` and if `X` is character, use `X` as `names` for the result unless it had names already. Since this argument follows `...` its name cannot be abbreviated.
`FUN.VALUE` | a (generalized) vector; a template for the return value from FUN. See ‘Details’.
`n` | integer: the number of replications.
`expr` | the expression (language object, usually a call) to evaluate repeatedly.
`x` | a list, typically returned from `lapply()`.
`higher` | logical; if true, `simplify2array()` will produce a (“higher rank”) array when appropriate, whereas `higher = FALSE` would return a matrix (or vector) only. These two cases correspond to `sapply(*, simplify = "array")` or `simplify = TRUE`, respectively.

### Details

`FUN` is found by a call to `match.fun` and typically is specified as a function or a symbol (e.g. a backquoted name) or a character string specifying a function to be searched for from the environment of the call to `lapply`.

Function `FUN` must be able to accept as input any of the elements of `X`. If the latter is an atomic vector, `FUN` will always be passed a length-one vector of the same type as `X`.

Arguments in `...` cannot have the same name as any of the other arguments, and care may be needed to avoid partial matching to `FUN`. In general-purpose code it is good practice to name the first two arguments `X` and `FUN` if `...` is passed through: this both avoids partial matching to `FUN` and ensures that a sensible error message is given if arguments named `X` or `FUN` are passed through `...`.

Simplification in `sapply` is only attempted if `X` has length greater than zero and if the return values from all elements of `X` are all of the same (positive) length. If the common length is one the result is a vector, and if greater than one is a matrix with a column corresponding to each element of `X`.

Simplification is always done in `vapply`. This function checks that all values of `FUN` are compatible with the `FUN.VALUE`, in that they must have the same length and type. (Types may be promoted to a higher type within the ordering logical < integer < real < complex, but not demoted.)

Users of S4 classes should pass a list to `lapply` and `vapply`: the internal coercion is done by the `as.list` in the base namespace and not one defined by a user (e.g. by setting S4 methods on the base function).

`lapply` and `vapply` are primitive functions.

### Value

For `lapply`, `sapply(simplify = FALSE)` and `replicate(simplify = FALSE)`, a list.

For `sapply(simplify = TRUE)` and `replicate(simplify = TRUE)`: if `X` has length zero or `n = 0`, an empty list. Otherwise an atomic vector or matrix or list of the same length as `X` (of length `n` for `replicate`). If simplification occurs, the output type is determined from the highest type of the return values in the hierarchy NULL < raw < logical < integer < real < complex < character < list < expression, after coercion of pairlists to lists.

`vapply` returns a vector or array of type matching the `FUN.VALUE`. If `length(FUN.VALUE) == 1` a vector of the same length as `X` is returned, otherwise an array. If `FUN.VALUE` is not an `array`, the result is a matrix with `length(FUN.VALUE)` rows and `length(X)` columns, otherwise an array `a` with `dim(a) == c(dim(FUN.VALUE), length(X))`.

The (Dim)names of the array value are taken from the `FUN.VALUE` if it is named, otherwise from the result of the first function call. Column names of the matrix or more generally the names of the last dimension of the array value or names of the vector value are set from `X` as in `sapply`.

### Note

`sapply(*, simplify = FALSE, USE.NAMES = FALSE)` is equivalent to `lapply(*)`.

For historical reasons, the calls created by `lapply` are unevaluated, and code has been written (e.g. `bquote`) that relies on this. This means that the recorded call is always of the form `FUN(X[[0L]], ...)`, with `0L` replaced by the current integer index. This is not normally a problem, but it can be if `FUN` uses `sys.call` or `match.call` or if it is a primitive function that makes use of the call. This means that it is often safer to call primitive functions with a wrapper, so that e.g. `lapply(ll, function(x) is.numeric(x))` is required in R 2.7.1 to ensure that method dispatch for `is.numeric` occurs correctly.

If `expr` is a function call, be aware of assumptions about where it is evaluated, and in particular what `...` might refer to. You can pass additional named arguments to a function call as additional named arguments to `replicate`: see ‘Examples’.

### References

Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988) The New S Language. Wadsworth & Brooks/Cole.

### See Also

`apply`, `tapply`, `mapply` for applying a function to multiple arguments, and `rapply` for a recursive version of `lapply()`, `eapply` for applying a function to each entry in an `environment`.

### Examples

    require(stats); require(graphics)

    x <- list(a = 1:10, beta = exp(-3:3), logic = c(TRUE,FALSE,FALSE,TRUE))
    # compute the list mean for each list element
    lapply(x,mean)
    # median and quartiles for each list element
    lapply(x, quantile, probs = 1:3/4)
    sapply(x, quantile)
    i39 <- sapply(3:9, seq) # list of vectors
    sapply(i39, fivenum)
    vapply(i39, fivenum,
           c(Min. = 0, "1st Qu." = 0, Median = 0, "3rd Qu." = 0, Max. = 0))

    ## sapply(*, "array") -- artificial example
    (v <- structure(10*(5:8), names=LETTERS[1:4]))
    f2 <- function(x,y) outer(rep(x, length.out=3), y)
    (a2 <- sapply(v, f2, y = 2*(1:5), simplify="array"))
    a.2 <- vapply(v, f2, outer(1:3, 1:5), y = 2*(1:5))
    stopifnot(dim(a2) == c(3,5,4), all.equal(a2, a.2),
              identical(dimnames(a2), list(NULL,NULL,LETTERS[1:4])))

    hist(replicate(100, mean(rexp(10))))

    ## use of replicate() with parameters:
    foo <- function(x=1, y=2) c(x,y)
    # does not work: bar <- function(n, ...) replicate(n, foo(...))
    bar <- function(n, x) replicate(n, foo(x=x))
    bar(5, x=3)

[Package base version 2.15.1 Index]