R Language: A Function Closure

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A function closure in R is a function that has access to the environment in which it was defined. This means that the function can access variables that were defined in the environment when the function was defined, even if those variables are no longer defined in the current environment.

For example, the following code defines a function called `square()` that has access to the variable `x`:

x <- 10


square <- function() {

  x^2

}

The `square()` function has access to the variable `x` because it was defined in the same environment as the `x` variable. Even if the `x` variable is deleted from the current environment, the `square()` function will still be able to access the value of `x` because it has access to the environment in which it was defined.

Here is an example of how to explore a function closure in R:

x <- 10


square <- function() {

  x^2

}


print(environment(square))

The output of the `print()` function is a list of all the objects that are defined in the environment in which the `square()` function was defined. This list includes the `x` variable, even though the `x` variable is no longer defined in the current environment.

Function closures are a powerful tool that can be used to create reusable and flexible functions. They can also be used to implement recursive functions in R.

Note

  • Function closures are created when a function is defined.
  • Function closures have access to the environment in which they were defined.
  • Function closures can be used to implement recursive functions.
  • Function closures are a powerful tool that can be used to create reusable and flexible functions.

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