Skip to Content
Data Analysis with R, Second Edition - Second Edition
book

Data Analysis with R, Second Edition - Second Edition

by Tony Fischetti
March 2018
Beginner to intermediate content levelBeginner to intermediate
570 pages
13h 42m
English
Packt Publishing
Content preview from Data Analysis with R, Second Edition - Second Edition

Exercises

  • One of the great things about the bootstrap is how conceptually simple and flexible the procedure is. This makes it very easy to do our own research on it. In this exercise, we will be doing simulations of simulations. Specifically, to see for ourselves the deterioration of the reliability of bootstrap results as sample sizes get smaller, make samples of a normal distribution of a fixed mean, 30 or 50 times, with sample sizes of 100 to 5, going down by 5 each time. For each of these 30 to 50 times, perform the bootstrap procedure (with a sensible number of replications), and find out which proportion of the time the BCa confidence interval contains the mean we chose. Is it 95%, like we would expect? Repeat the procedure with other ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Hands-On Exploratory Data Analysis with R

Hands-On Exploratory Data Analysis with R

Radhika Datar, Harish Garg
Bayesian Data Analysis, Third Edition, 3rd Edition

Bayesian Data Analysis, Third Edition, 3rd Edition

Andrew Gelman, John B. Carlin, Hal S. Stern, David B. Dunson, Aki Vehtari, Donald B. Rubin
R: Data Analysis and Visualization

R: Data Analysis and Visualization

Tony Fischetti, Brett Lantz, Jaynal Abedin, Hrishi V. Mittal, Bater Makhabel, Edina Berlinger, Ferenc Illés, Milán Badics, Ádám Banai, Gergely Daróczi, Barbara Dömötör, Gergely Gabler, Dániel Havran, Péter Juhász, István Margitai, Balázs Márkus, Péter Medvegyev, Julia Molnár, Balázs Árpád Szucs, Ágnes Tuza, Tamás Vadász, Kata Váradi, Ágnes Vidovics-Dancs

Publisher Resources

ISBN: 9781788393720Supplemental Content