Pseudo-Random Number Generation
Completion requirements
The tools of random number generation are used for creating entirely new "synthetic" datasets and for permutation, subsampling, and bootstrapping (resampling with replacement) of existing data. You will learn how to use built-in R functions to generate random samples from different probability distributions (more distributions are available from user-contributed packages, such as the package gamlss.dist).
Pseudo-random Number Generation
Source: E. Roualdes, https://www.youtube.com/watch?v=09hJy4hUzOo
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