Is there a "built-in"/efficient and robust way to check if list objects are nested or not?
To clarify my understanding of the term nested:
Flat or not-nested list
x.1 <- list(
a=TRUE,
b=1:5
)
Nested list
x.2 <- list(
a=list(a.1=list(a.1.1=TRUE)),
b=list(b.1=1:5)
)
My first idea was to use a combination of str
, capture.output
and regular expressions. But as everything related to regular expression: pretty powerful, pretty risky on the robustness side ;-) So I wondered if there's something better out there:
isNested <- function(x) {
if (class(x) != "list") {
stop("Expecting 'x' to be a list")
}
out <- FALSE
strout <- capture.output(str(x))
idx <- grep("\\$.*List", strout)
if (length(idx)) {
out <- TRUE
}
return(out)
}
> isNested(x=x.1)
[1] FALSE
> isNested(x=x.2)
[1] TRUE
Second approach courtesy of Roman and Arun:
isNested2 <- function(x) {
if (class(x) != "list") {
stop("Expecting 'x' to be a list")
}
out <- any(sapply(x, is.list))
return(out)
}
> isNested2(x=x.1)
[1] FALSE
> isNested2(x=x.2)
[1] TRUE
A nested list is a list of lists, or any list that has another list as an element (a sublist). They can be helpful if you want to create a matrix or need to store a sublist along with other data types.
issubset() function. The most used and recommended method to check for a sublist. This function is tailor made to perform the particular task of checking if one list is a subset of another.
A list within another list is said to be nested. Finally, a list with no elements is called an empty list, and is denoted [].
You can use the is.list
function:
any(sapply(x.1, is.list))
[1] FALSE
any(sapply(x.2, is.list))
[1] TRUE
As a function isNested
:
isNested <- function(l) {
stopifnot(is.list(l))
for (i in l) {
if (is.list(i)) return(TRUE)
}
return(FALSE)
}
Instead of testing all list elements, the function stops as soon as it detects a nested list.
Try this :
isNested <- function(x) {
if (is.list(x))
stop("Expecting 'x' to be a list")
any(unlist( lapply(x,is.list) ))
}
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