Imagine that I have the following list
> test <- list("a" = 1, "b" = 2)
Each element of the list has a name :
> names(test)
Now, I want to extract that name using lapply()
because I want to use it in a new function which will be called using lapply. I just don't know how to extract the name of each element.
I've tried using deparse()
and substitute()
but the outcome is weird :
> lapply(test, function(x) {deparse(substitute(x))})
$a
[1] "X[[i]]"
$b
[1] "X[[i]]"
Does anyone has a clue ?
I want to do something like this : I have a list which is like test :
> test <- list("a" = matrix(1, ncol = 3), "b" = matrix(2, ncol = 3))
I want to apply a function to that list which transform the data inside each element and give a specific name for each column :
make_df <- function(x) {
output <- data.frame(x)
names(output) <- c("items", "type", NAME_OF_X)
return(output)
}
lapply(test, make_df)
The expected output is :
> test
$a
[,1] [,2] [,3]
[1,] 1 1 1
attr(,"names")
[1] "index" "type" "a"
$b
[,1] [,2] [,3]
[1,] 2 2 2
attr(,"names")
[1] "index" "type" "b"
I don't know how I can get the name of the element to give a name to my third column.
Here's a solution using purrr
. It seems to run faster than the solution by aaronwolden but slower than akrun's solution (if that's important):
library(purrr)
map2(test, names(test), function(vec, name) {
names(vec) <- c("index", "type", name)
return(vec)
})
$a
[,1] [,2] [,3]
[1,] 1 1 1
attr(,"names")
[1] "index" "type" "a"
$b
[,1] [,2] [,3]
[1,] 2 2 2
attr(,"names")
[1] "index" "type" "b"