simulate_characteristic: Simulate time-course characteristic
In ssokolen/metcourse: Tools for Metabolic Time-course Data

Underlying function for simulating maximum concentration, relative changes in concentration and relative standard deviations. Each simulation can be performed with one or a mixture of two underlying distributions.

1 2	simulate_characteristic(n, dist1, par1, dist2 = NULL, par2 = NULL, p = 0.5, con = NULL)

`n`	Number of samples to draw.
`dist1`	Distribution function for the first distribution e.g. rnorm
`par1`	A list of parameters for the first distribution (to be passed into dist1 using do.call).
`dist2`	Optional distribution function for the second distribution. Note, `par2` has to be specified if `dist2` is specified.
`par2`	An optional list of parameters for the second distribution. Note, `dist2` has to be specified if `par2` is specified.
`p`	Proportion of samples to draw using `dist1` vs. `dist2`. Note, `p` is ignored if `dist2` or `par2` is not specified.
`con`	Optional vector of lower and upper constraints on generated samples.