Thanks Ron, I'm working on a dynamic portfolio component for a client and I've been given static designs that I have to match.
The beginning of the portfolio has a couple hundred *tiny* icons that appear spread across the stage in a non overlapping random pattern. Thing is, it's not a normal distribution - with many more of the icons appearing to the upper left (origin) of the stage...then spreading out in a random but decreasingly dense pattern across the stage. So it turned out that using the squared random value worked really well in this particular case. I was kind of surprised how well it works actually. That link's a wonderful resource for these kind of things, thanks a million. Clark On 5/27/06, Ron Wheeler <[EMAIL PROTECTED]> wrote:
I was surprised that the squaring gave you any kind of banding since it should be a smooth bias. I think that the log transformation will give you less of a bias toward one side but I have not pulled out all my old stats and calculus books to check this out. It would seem that a normal distribution(cut in half and shifted) or a Poisson might be what you are looking for. What is the physical phenomenon are you trying to model? http://mathworld.wolfram.com/topics/ContinuousDistributions.html has more distributions that I ever knew existed. It has a picture and formula for each one. Ron
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