Menu
How would one implement in R the function apply.func(func, arg.list), which takes an arbitrary function func and a suitable list arg.list as arguments, and returns the result of calling func with the arguments contained in arg.list. E.g.
apply.func(foo, list(x="A", y=1, z=TRUE))
is equivalent to
foo(x="A", y=1, z=TRUE)
Thanks!
P.S. FWIW, the Python equivalent of apply.func would be something like
def apply_func(func, arg_list):
return func(*arg_list)
or
def apply_func(func, kwarg_dict):
return func(**kwarg_dict)
or some variant thereof.
261
A nested function or the enclosing function is a function that is defined within another function. In simpler words, a nested function is a function in another function. There are two ways to create a nested function in the R programming language: Calling a function within another function we created.
14.1 Functions in RFunctions can be passed as arguments to other functions. This is very handy for the various apply functions, like lapply() and sapply() . Functions can be nested, so that you can define a function inside of another function.
The options() function in R is used to set and examine different global options that affects the way in which R determines and returns its results.
I think do.call is what you're looking for. You can read about it via ?do.call.
The classic example of how folks use do.call is to rbind data frames or matrices together:
d1 <- data.frame(x = 1:5,y = letters[1:5])
d2 <- data.frame(x = 6:10,y = letters[6:10])
do.call(rbind,list(d1,d2))
Here's another fairly trivial example using sum:
do.call(sum,list(1:5,runif(10)))
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With
