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

Allocation of memory

Refer all the way back to Chapter 5, Using Data to Reason About the World. Remember when we created a mock population of women's heights in the US, and we repeatedly took 10,000 samples of 40 from it to demonstrate the sampling distribution of the sample means? In a code comment, I mentioned in passing that the snippet numeric(10000) created an empty vector of 10,000 elements, but I never explained why we did that. Why didn't we just create a vector of 1, and continually tack on each new sample mean to the end of it? This is demonstrated as follows:

set.seed(1) all.us.women <- rnorm(10000, mean=65, sd=3.5) means.of.our.samples.bad <- c(1) # I'm increasing the number of # samples to 30,000 to prove a point for(i in 1:30000){ ...
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