Simulation - Hadley Wickham

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Generating random

numbers

• runif (uniform), rpois (poisson), rnorm

(normal), rbinom (binomial), rgamma

(gamma), rbeta (beta)

•

First argument for all is n, number of samples

to generate

Then parameters of the distribution

(always check that the distribution is

parameterised the way you expect)

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• Basics of simulation Want to: • • generate random numbers from known distribution want to repeat the simulation multiple times

Generating random numbers • runif (uniform), rpois (poisson), rnorm (normal), rbinom (binomial), rgamma (gamma), rbeta (beta) • • First argument for all is n, number of samples to generate Then parameters of the distribution (always check that the distribution is parameterised the way you expect)

Page 1 and 2: Simulation Hadley Wickham
Page 3: • • • • Basics of simulatio
Page 7 and 8: Repetition • Use the replicate fu
Page 9 and 10: What your code might have looked li
Page 11 and 12: Dry rule
Page 13 and 14: • Functions Let us avoid repetiti
Page 15 and 16: • • • Your turn Create a func
Page 17 and 18: Your turn • Figure out how to do
Page 19 and 20: • • Another exploration How doe
Page 21 and 22: New function • sapply • Takes f
Page 23: • • • • Your turn Look at t

Simulation - Hadley Wickham

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