Combine a large list of boolean vectors

I have a large list of boolean vectors TRUE/FALSE

(144 list items, each with ~ 23 million items). I want to combine them using any

to create one boolean vector. If any of the first elements of each element of the list TRUE

, are returned TRUE

, etc. For the length of the vectors. Here's an example:

#  Some data
set.seed(1)
ll <- replicate(3,sample(c(TRUE,FALSE),5,TRUE),simplify=F)

#[[1]]
#[1]  TRUE  TRUE FALSE FALSE  TRUE

#[[2]]
#[1] FALSE FALSE FALSE FALSE  TRUE

#[[3]]
#[1]  TRUE  TRUE FALSE  TRUE FALSE

#  What I want (and one way of doing it)...
apply( do.call(cbind,ll) , 1 , any )
#  [1]  TRUE  TRUE FALSE  TRUE  TRUE

      

        
        
        
      

    

Wait, you have already posted the solution in this code, why ask a question?

I have 144 vectors, each of which is 23,721,703 lengths in my real data. Attempting the above errors such as:

# *** caught segfault ***
#address 0x18, cause 'memory not mapped'

OR

#Error in aperm.default(X, c(s.call, s.ans)) : 
#  long vectors not supported yet: memory.c:1648

      

        
        
        
      

    

I am running R 3.0.2 on Ubuntu 64bit with 112GB of RAM.