R: Apply a Function Over Values in an Environment

eapply {base} | R Documentation

## Apply a Function Over Values in an Environment

### Description

`eapply` applies `FUN` to the named values from an `environment` and returns the results as a list. The user can request that all named objects are used (normally names that begin with a dot are not). The output is not sorted and no enclosing environments are searched.

### Usage

    eapply(env, FUN, ..., all.names = FALSE, USE.NAMES = TRUE)

### Arguments

`env` | environment to be used.
`FUN` | the function to be applied, found via `match.fun`. In the case of functions like `+`, `%*%`, etc., the function name must be backquoted or quoted.
`...` | optional arguments to `FUN`.
`all.names` | a logical indicating whether to apply the function to all values.
`USE.NAMES` | logical indicating whether the resulting list should have `names`.

### Value

A named (unless `USE.NAMES = FALSE`) list. Note that the order of the components is arbitrary for hashed environments.

### See Also

`environment`, `lapply`.

### Examples

    require(stats)

    env <- new.env(hash = FALSE) # so the order is fixed
    env$a <- 1:10
    env$beta <- exp(-3:3)
    env$logic <- c(TRUE, FALSE, FALSE, TRUE)
    # what have we there?
    utils::ls.str(env)

    # compute the mean for each list element
           eapply(env, mean)
    unlist(eapply(env, mean, USE.NAMES = FALSE))

    # median and quartiles for each element (making use of "..." passing):
    eapply(env, quantile, probs = 1:3/4)
    eapply(env, quantile)

[Package base version 4.0.5 Index]