CompileExamples

function(x)
{
   x = x[!is.na(x)]  # makes a copy
   sum(x)/length(x)
}


Want to write this as

function(x)
{
   total = 0
   n = 0
   for(i in x) {
     if(!is.na(i)) {
       total = total + i
       n = n + 1
     }
   }
   total/n
}

This avoids creating the copy of x.

###############################################################

lazy evaluation

Allow person compiling to say no lazy evaluation.
foo = 
function(x, y)
{
  cat("In foo\n")
  x
  cat(x, " - done x\n")
  y
  cat(y, " - done y\n")
  x + y
}

a = 1
b = 2
c = 4
foo({cat("from x\n"); a + b}, {cat("from y\n"); a - c})

One possible approach for this is to complile foo into
foo_llvm and create foo_x_lazy_llvm and foo_y_lazy_llvm

foo = 
function(x, y, foo_x_lazy_llvm, foo_y_lazy_llvm)
{
  cat("In foo\n")
  x = foo_x_lazy_llvm()
  x
  cat(x, " - done x\n")
  y = foo_y_lazy_llvm()
  y
  cat(y, " - done y\n")
  x + y
}

foo_x_lazy_llvm knows the identify of the inputs it needs,
as determined by analysis of the expressions.

For a top-level call, we may actually want to evaluate the expressions.
We won't know the types in the expressions, potentially or we will have to compile
these functions on the fly for each call. So in fact we actually want to 
compile a function for that expression with access to all the inputs it needs
and then pass that function pointer