Simulation - Hadley Wickham

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Your turn

• Figure out how to do a t.test in R

• Figure out how to extract the p-value from

that object (use str and your subsetting

skills)

•

Write a function to generate two vectors of

n random normals, compare them with a

t.test and return the p-value

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• • Next task We know (hopefully) that a t test works best on normally distributed data How can we test that?

Your turn • Figure out how to do a t.test in R • Figure out how to extract the p-value from that object (use str and your subsetting skills) • Write a function to generate two vectors of n random normals, compare them with a t.test and return the p-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: • • • Your turn Create a func
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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