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====== GroIMP random number functions ======
===== Uniform distribution =====
''float random(float min, float max)''

Returns a uniformly distributed pseudorandom number between min and max

''int irandom(int min, int max)''

Returns a uniformly distributed integral pseudorandom number between min and max (inclusive).

===== Normal distribution =====
''double normal(double mu, double sigma)''

Returns a pseudorandom number which is distributed according to a normal distribution with mean value mu and standard deviation sigma.

===== Log-normal distribution=====
''double lognormal(double mu, double sigma)''


===== Discrete distribution =====
''int distribution(float[] probabilities)''

Returns an integral pseudorandom number according to the discrete distribution probabilities., The value i has the probability probabilities i for 0 <= i < probabilities.length, the value probabilities.length has the remaining probability, i.e., the difference between the sum of probabilities and 1. 

===== Poisson distribution (many other in math3.distribution)=====
<code>
import org.apache.commons.math3.distribution.PoissonDistribution;
double mean = 3.0; // lambda, the expected value
PoissonDistribution poisson = new PoissonDistribution(mean);
int value = poisson.sample();
</code>