Simulation - Hadley Wickham

ePAPER READ

DOWNLOAD ePAPER

had.co.nz

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

START NOW

•

Your turn

Generate 100 numbers ~ N(0, 1)

Generate 50 numbers ~ N(10, 5)

Generate 1000 numbers ~ Poisson(50)

Generate 10 numbers ~ Beta(0.1, 0.1)

Generate 30 numbers ~ Uniform(0, 10)

Glaciers Melt as Mountains Warm: A Graphical Case Study

Exploratory model analysis - Hadley Wickham

Download slides - Courses - Hadley Wickham

Introduction R & ggplot2. - Stat405 - Hadley Wickham

Grammar of graphics - Stat405 - Hadley Wickham

Introduction to the movies dataset - Hadley Wickham

• • • • • Your turn Generate 100 numbers ~ N(0, 1) Generate 50 numbers ~ N(10, 5) Generate 1000 numbers ~ Poisson(50) Generate 10 numbers ~ Beta(0.1, 0.1) Generate 30 numbers ~ Uniform(0, 10)

Repetition • Use the replicate function • replicate(n, expression) • replicate(10, mean(rnorm(100))) • qplot(replicate(100, mean(rnorm(10))), type="histogram")

Page 1 and 2: Simulation Hadley Wickham
Page 3 and 4: • • • • Basics of simulatio
Page 5: Generating random numbers • runif
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

Create successful ePaper yourself

Delete template?

Save as template?