# Subset nested list based on element name in R

I have 3 lists called T1, T2, and T3 (shown below). From these lists, I want to extract a subset `Q`.

``````L1<-list("A"=matrix(c(1:4),2),"B"=matrix(c("a","b","c","d"),2))
L2<-list("P"=matrix(c(5:8),2),"Q"=list(list("u","v","w","x"),2))

T1 <- list(L1, L2)
T2 <- list(NULL, L1, L2)
T3 <- list(L1, NULL, L2)
``````

The output I need is only the list `Q` which is embedded in the parent lists (T1, T2, and T3).

Here are the solutions I tried, but they all return the NULL value for siblings of `Q`

``````lapply(T3, `[[`, "Q")
purrr::map(T3, `[`, "Q")
purrr::map_depth(T3, 2, "Q")
``````

Please suggest a solution to subset `Q` out of parents T1, T2, and T3. As you can see the position of Q is different in each parent, I am looking for a solution to subset parent list by child name `Q` instead of hardcoding the position of `Q`.

### >Solution :

There’s no base function that does that. Normally you want to preserve the length of the input when you are mapping/applying over list. You could write a helper function that just returns the first match

``````first_match <- function(x, name) {
for (list in x) {
if (name %in% names(list)) {
return(list[[name]])
}
}
return(NULL)
}

first_match(T1, "Q")
first_match(T2, "Q")
first_match(T3, "Q")
``````