Frequency of appearance in list of lists

I have a list of lists, where each list is sorted. What I want to look into is how many times a certain element has appeared in a specific position. For instance, "pnc" has appeared in 2nd position twice and in third position once. My data is structured as bellow:

dput(degree.l)
list(c(schwab = 0, pnc = 0.0344827586206897, jpm = 0.0862068965517241, 
amex = 0.0862068965517241, gs = 0.103448275862069, ms = 0.103448275862069, 
bofa = 0.103448275862069, citi = 0.103448275862069, wf = 0.120689655172414, 
spgl = 0.120689655172414, brk = 0.137931034482759), c(schwab = 0.0166666666666667, 
pnc = 0.05, ms = 0.0666666666666667, spgl = 0.0833333333333333, 
jpm = 0.1, bofa = 0.1, wf = 0.1, amex = 0.1, gs = 0.116666666666667, 
brk = 0.116666666666667, citi = 0.15), c(schwab = 0.0428571428571429, 
gs = 0.0714285714285714, pnc = 0.0714285714285714, citi = 0.0857142857142857, 
amex = 0.0857142857142857, spgl = 0.0857142857142857, jpm = 0.1, 
brk = 0.1, ms = 0.114285714285714, wf = 0.114285714285714, bofa = 0.128571428571429
))

Solution

We can loop over the list with sapply, get the position index of the names that matches the 'pnc', and get the table on the output vector - returns the frequency of positions of 'pnc'

get_positions <- function(lst1, to_match) {
   table(sapply(lst1, function(x) match(to_match, names(x))))
}

-testing

get_positions(degree.l, 'pnc')
2 3 
2 1

If we want to do this for all the unique names

nm1 <- unique(names(unlist(degree.l)))
out <- lapply(nm1, get_positions, lst1 = degree.l)
names(out) <- nm1

-output

out
$schwab

1 
3 

$pnc

2 3 
2 1 

$jpm

3 5 7 
1 1 1 

$amex

4 5 8 
1 1 1 

$gs

2 5 9 
1 1 1 

$ms

3 6 9 
1 1 1 

$bofa

 6  7 11 
 1  1  1 

$citi

 4  8 11 
 1  1  1 

$wf

 7  9 10 
 1  1  1 

$spgl

 4  6 10 
 1  1  1 

$brk

 8 10 11 
 1  1  1