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In native R, the user sets the seed for random number generation (RNG) with set.seed(). Random number generators exist in C and C++ too; these need their own seeds, which are not obviously settable by set.seed(). Good news! It can be done. pacman::p_load(inline, purrr) rbernoulli Base R (or technically the stats package) provides no rbernoulli(). It’s a pretty gaping hole in the pantheon of rbeta(), rbinom(), rcauchy, rchisq(), rexp(), rf(), rgamma(), etc.

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