simplifyr-methods | R Documentation |
simplifyr-methods
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.
Distribution-class
F <- ( Norm() + Binom() + Pois() + Exp() ) * 2 - 10
## IGNORE_RDIFF_BEGIN
system.time(r(F)(10^6))
## IGNORE_RDIFF_END
simplifyr(F, size = 10^6)
## IGNORE_RDIFF_BEGIN
system.time(r(F)(10^6))
## IGNORE_RDIFF_END
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