Learning Statistics with R

“Learning Statistics with R” covers the contents of an introductory statistics class, as typically taught to undergraduate psychology students, focusing on the use of the R statistical software. Please be aware that this is version 0.3 of a work in progress. It has been ‘published’ at Lulu primarily for teaching purposes at the University of Adelaide: this book allows students to buy hard copies of the lecture notes that are more sturdy than the readers that the university printer produces, at a price that is only slightly higher than the readers, and less than half the price that a traditional textbook company would have charged for the same service. If you are not one of my students, and are nevertheless considering buying a hard copy of this book, I would suggest downloading the soft copy from ua.edu.au/ccs/teaching/lsr (available for free) to check that it is suitable for your purposes.

Table of Contents

I Background 1
1 Why do we learn statistics? 3
2 A brief introduction to research design 11
II An introduction to R 33
3 Getting started with R 35
4 Additional R concepts 67
III Working with data 103
5 Descriptive statistics 105
6 Drawing graphs 147
7 Pragmatic matters 185
8 Basic programming 243
IV Statistical theory 259
9 Introduction to probability 261
10 Estimating population parameters from a sample 285
11 Hypothesis testing 303
V Statistical tools 327
12 Categorical data analysis 329
13 Comparing two means 353
14 Comparing several means (one-way ANOVA) 395
15 Linear regression 427
16 Factorial ANOVA 465
17 Epilogue 521