Simulation - Hadley Wickham

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• • • Your turn Repeat several thousand times and draw a histogram for various values of n Try varying the parameters of the two normals. What happens when you vary the mean? What happens when you vary the standard deviation? What happens if you use non-normal data? Eg. uniform, or poisson data
• • Another exploration How does our sample estimate compare to the true unknown eg., when calculating the mean of a sample of random normals, how many do we need to draw to be reasonably certain we got the right value?
Page 1 and 2: Simulation Hadley Wickham
Page 3 and 4: • • • • Basics of simulatio
Page 5 and 6: Generating random numbers • runif
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: Your turn • Figure out how to do
Page 21 and 22: New function • sapply • Takes f
Page 23: • • • • Your turn Look at t

Simulation - Hadley Wickham

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