rderived | R Documentation |
This function combines a uniform distribution from minimum to maximum with the upper and lower tail of a normal distribution.
rderived(n, min, max, a = -Inf)
n |
Number of samples to be drawn |
min |
Minimum value of normal comparables |
max |
Maximum value of normal comparables |
a |
Minimum of distribution (Default is -Inf) |
95%, 2.5% and 2.5% of all drawn values originate from the uniform distribution, the lower tail, and the upper tail of a normal distribution, respectively. The normal distribution is characterized by the mean of minimum and maximum. The standard deviation is derived from the 2.5% and 97.5% quantile definied by the minimum and maximum values. (sd = (max - 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 normal distribution (38/40 = 95%). Finally, the defined number of fields is randomly drawn from the vector.
numeric vector of length n with randomly drawn values according to the distribution
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