Question on partitioning a set of agents.

[Jason Alexander]

For one of my models I need to randomly partition a set of agents
(stored as a list) into N disjoint classes, where each class is
equiprobable.

Are there any implicit biases in the following procedure that I'm
unaware of?  (It seems okay to me.)

Let L denote the list of agents.
Assume RandomFloat() return a number between 0 and 1.

for i=1 upto N-1 {
  loop over L {
     if RandomFloat < 1/N {
        remove current agent from L
        insert current agent into class i
     }
  }
}
Copy remaining agents from L into class N.


Cheers,

Jason


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