This function draws random values from a uniform distribution (minimum to maximum) combined with the upper and lower tail of a log normal distribution. Minimum and maximum values are transformed to a log10 scale first.
Arguments
- n
Number of samples to be drawn
- min
Minimum value of normal comparables
- max
Maximum value of normal comparables
Details
95%, 2.5% and 2.5% of all drawn values originate from the log-uniform distribution, the lower tail, and the upper tail of a log-normal distribution, respectively. The log-normal distribution is characterized by the mean of log-minimum and log-maximum. The standard deviation is derived from the 2.5% and 97.5% quantile defined by the minimum and maximum values. sd = (log10(max) - log10(mean)) / 1.959963
The number of Fields is multiplied by 38 for the uniform distribution, while it is multiplied by 1 for the tails of the log-normal distribution (38 / 40 = 95%) Finally, the defined number of fields is randomly drawn from the vector.