[R] Calculating conditional mean of large series of experiments

I need to repeat an experiment 1000 times. Each experiment involves randomly selecting one ball each from two separate bags. Each bag contains 10 balls, numbered 1, 2, 3, ... , 10. So the probability of selecting any one pair of balls is equal to all others. For each experiment, what I need to do

Re: [R] Calculating conditional mean of large series of experiments

Yes I know the problem can be solved analytically -- the point was to see how well R could simulate the theory. In any case, your assistance is greatly appreciated and it worked well. Thankyou. R does a good job of simulating the experiment! -- View this message in context: http://www.nabble.c

[R] How do you test for "consecutivity"?

I need to use R to model a large number of experiments (say, 1000). Each experiment involves the random selection of 5 numbers (without replacement) from a pool of numbers ranging between 1 and 30. What I need to know is what *proportion* of those experiments contains two or more numbers that are

Re: [R] How do you test for "consecutivity"?

I'd just like to thank all you guys for stepping in so promptly with help. I haven't yet had a chance to implement any of your code yet, but just by looking over what you've suggested, I think I have enough to guide me. So thanks once again! -- View this message in context: http://www.nabble.com