# simplifyr-methods

From distr v2.8.0
by Peter Ruckdeschel

##### Methods for Function simplifyr in Package `distr'

simplifyr-methods

- Keywords
- distribution, arith, math

##### Note

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.

##### 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.

##### See Also

##### Examples

```
# NOT RUN {
F <- ( Norm() + Binom() + Pois() + Exp() ) * 2 - 10
system.time(r(F)(10^6))
simplifyr(F, size = 10^6)
system.time(r(F)(10^6))
# }
```

*Documentation reproduced from package distr, version 2.8.0, License: LGPL-3*

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