R in Action (3/e)
Douban
Data analysis and graphics with R and Tidyverse
Robert I. Kabacoff
résumé
R in Action, Third Edition teaches you how to do statistical analysis and data visualization using R and its popular tidyverse packages. In it, you’ll investigate real-world data challenges, including forecasting, data mining, and dynamic report writing. This revised third edition adds new coverage for graphing with ggplot2, along with examples for machine learning topics like clustering, classification, and time series analysis.
contents
PART 1 GETTING STARTED
1 Introduction to R
2 Creating a dataset
3 Basic data management
4 Getting started with graphs
5 Advanced data management
PART 2 BASIC METHODS
6 Basic graphs
7 Basic statistics
PART 3 INTERMEDIATE METHODS
8 Regression
9 Analysis of variance
10 Power analysis
11 Intermediate graphs
12 Resampling statistics and bootstrapping
PART 4 ADVANCED METHODS
13 Generalized linear models
14 Principal components and factor analysis
15 Time series
16 Cluster analysis
17 Classification
18 Advanced methods for missing data
PART 5 EXPANDING YOUR SKILLS
19 Advanced graphs
20 Advanced programming
21 Creating dynamic reports
22 Creating a package
AFTERWORD. Into the Rabbit Hole
APPENDIXES
