R and lazy evaluation

Haskell is the prototypical lazy evaluation language. One can compute a
Fibonacci sequence by the Haaskell equivalent of the following R code.

fibs <- c(0, 1, rep(0, 8))
fibs[3:10] <- fibs + fibs[-1]

This works as follows.

fibs = 0, 1, 0, 0, 0, 0, 0, 0, 0, 0
fibs = 0, 1, 0, 0, 0, 0, 0, 0, 0, 0

When one adds fibs to fibs[-1], one is effectively adding diagonally:
fibs[3] <- fibs[1] + fibs[2]
fibs[4] <- fibs[2] + fibs[3]
fibs[5] <- fibs[3] + fibs[4]
etc.

In Haskell, the value of fibs[3] used to compute fibs[4] is the value just
created by adding fibs[1] and fibs[2]. Similarly the value of fibs[4] used
to compute fibs[5] is the value that was just created in the previous
addition. In other words:

fibs[3] <- fibs[1] + fibs[2] # 0 + 1 = 1
fibs[4] <- fibs[2] + fibs[3] # 1 + 1 = 2
fibs[5] <- fibs[3] + fibs[4] # 1 + 2 = 3
fibs[6] <- fibs[4] + fibs[5] # 2 + 3 = 5
etc.


But if you actually carry out this calculation in R, this is you get.

v <- c(0, 1, rep(0, 8))

v

 [1] 0 1 0 0 0 0 0 0 0 0

v[3:10] <- v + v[-1]

Warning messages:

1: In v + v[-1] :

  longer object length is not a multiple of shorter object length

2: In v[3:10] <- v + v[-1] :

  number of items to replace is not a multiple of replacement length

v

 [1] 0 1 1 1 0 0 0 0 0 0


Is there any way to make this work?

delayedAssign("fib6", fib5+fib4)
delayedAssign("fib5", fib4+fib3)
delayedAssign("fib4", fib3+fib2)
delayedAssign("fib3", fib2+fib1)
delayedAssign("fib2", 1)
delayedAssign("fib1", 0)
fib6