How can the Generate Data operator be configured to create right or left skewed distributions?

Hi Martin, we've created a Monte Carlo process in RM and have been able to successfully apply a single gaussian cluster to input data to our function. However, some of the input data by it's nature is a right or left skew distribution and\or must be non-negative. The practical use case is this - when we calculate the maximum burst pressure of steel pipe using a specified pipe property from the mill (let's say 60,000 psi), it is very unlikely the specified property is an average. The 60,000 psi more often represents maybe 2-3 standard deviations to the left and the actual average is probably 68,000 psi with a small tail to the right capped at some maximum like 70,000 psi. So, we're trying to figure out how to shape a normal distribution with an understanding what our tails look like. I found ways to do this on stack exchange but the math requires calculus (which I don't know how to do easily in RapidMiner), and we're not trying to get an exact solution, just something that better represents reality.

Hey,
i think i got something for you which i am writing for another client. This may be quickly extendable to cover your need.

I will connect with you via e-mail.

Cheers,
Martin