Accessing elements in a list of data frames - r

Question

I have managed to subset and lapply a list of data frames as follows:
subsetDeathHA <-
na.omit(subset(outcome,select = c("Hospital Name", "mortailityRate", "State"), ))
orderSubsetDeathHA <-
subsetDeathHA[order(subsetDeathHA$"mr" , subsetDeathHA$"Hospital Name", subsetDeathHA$'State' ),]
splitOrderSubsetDeahtHA <-
split(orderSubsetDeathHA, orderSubsetDeathHA$'State')
aa<- lapply(splitOrderSubsetDeahtHA, function(x) { x[num,] })
num is the ranking number on a per State basis.
Using str(aa) shows this object is a list of (54) data.frames, where each data.frame is one object of 3 variables as follows:
List of 54
$ AK:'data.frame': 1 obs. of 3 variables:
..$ Hospital Name : chr NA
..$ mortalityRate : num NA
..$ State : chr NA
..- attr(*, "na.action")=Class 'omit' Named int [1:1986] 4 5 6 10 13 17 19 23 27 28 ...
.. .. ..- attr(*, "names")= chr [1:1986] "4" "5" "6" "10" ...
$ AL:'data.frame': 1 obs. of 3 variables:
..$ Hospital Name : chr "D C H REGIONAL MEDICAL CENTER"
..$ mortalityRate : num 15.8
..$ State : chr "AL"
..- attr(*, "na.action")=Class 'omit' Named int [1:1986] 4 5 6 10 13 17 19 23 27 28 ...
.. .. ..- attr(*, "names")= chr [1:1986] "4" "5" "6" "10" ...
What I can't seem to do is the following
1) Subset out the Hospital Name and the State by removing the mortalityRate variable and return a list of the resulting 54 objects/data frames.
2) Place row.names =F appropriately to suppress the indexing that R provides.
3) Even though I thought I had 'na'd out' the NA values in the first sub-setting operation,
when I print(aa), what follows is a sample of the output.
$AK
Hospital Name mr State
NA NA <NA> NA <NA>
$AL
Hospital Name mr State
56 D C H REGIONAL MEDICAL CENTER 15.8 AL
etc...
Any help/suggestions appreciated