Description Methods Note See Also Examples

simplifyr-methods

- simplifyr
`signature(.Object = "UnivariateDistribution")`

: After several transformations of a given distribution it may take quite a long time to generate random numbers from the resulting distribution. simplifyr generates a certain number, by default*10^5*, of random numbers once. This pool of random numbers forms the basis for further uses of the r-method. That is, random numbers are generated by sampling with replacement out of this pool.

If you want to generate many random numbers, you should use simplifyr with a big size to be sure, that your numbers are really random.

1 2 3 4 | ```
F <- ( Norm() + Binom() + Pois() + Exp() ) * 2 - 10
system.time(r(F)(10^6))
simplifyr(F, size = 10^6)
system.time(r(F)(10^6))
``` |

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