دانلود کتاب Exploratory data analysis with R

فهرست مطالب :

• 1. Stay in Touch! • 2. Preface • 3. Getting Started with R • 3.1 Installation • 3.2 Getting started with the R interface • 4. Managing Data Frames with the dplyr package • 4.1 Data Frames • 4.2 The dplyr Package • 4.3 dplyr Grammar • 4.4 Installing the dplyr package • 4.5 select() • 4.6 filter() • 4.7 arrange() • 4.8 rename() • 4.9 mutate() • 4.10 group_by() • 4.11 %>% • 4.12 Summary • 5. Exploratory Data Analysis Checklist • 5.1 Formulate your question • 5.2 Read in your data • 5.3 Check the packaging • 5.4 Run str() • 5.5 Look at the top and the bottom of your data • 5.6 Check your “n”s • 5.7 Validate with at least one external data source • 5.8 Try the easy solution first • 5.9 Challenge your solution • 5.10 Follow up questions • 6. Principles of Analytic Graphics • 6.1 Show comparisons • 6.2 Show causality, mechanism, explanation, systematic structure • 6.3 Show multivariate data • 6.4 Integrate evidence • 6.5 Describe and document the evidence • 6.6 Content, Content, Content • 6.7 References • 7. Exploratory Graphs • 7.1 Characteristics of exploratory graphs • 7.2 Air Pollution in the United States • 7.3 Getting the Data • 7.4 Simple Summaries: One Dimension • 7.5 Five Number Summary • 7.6 Boxplot • 7.7 Histogram • 7.8 Overlaying Features • 7.9 Barplot • 7.10 Simple Summaries: Two Dimensions and Beyond • 7.11 Multiple Boxplots • 7.12 Multiple Histograms • 7.13 Scatterplots • 7.14 Scatterplot - Using Color • 7.15 Multiple Scatterplots • 7.16 Summary • 8. Plotting Systems • 8.1 The Base Plotting System • 8.2 The Lattice System • 8.3 The ggplot2 System • 8.4 References • 9. Graphics Devices • 9.1 The Process of Making a Plot • 9.2 How Does a Plot Get Created? • 9.3 Graphics File Devices • 9.4 Multiple Open Graphics Devices • 9.5 Copying Plots • 9.6 Summary • 10. The Base Plotting System • 10.1 Base Graphics • 10.2 Simple Base Graphics • 10.3 Some Important Base Graphics Parameters • 10.4 Base Plotting Functions • 10.5 Base Plot with Regression Line • 10.6 Multiple Base Plots • 10.7 Summary • 11. Plotting and Color in R • 11.1 Colors 1, 2, and 3 • 11.2 Connecting colors with data • 11.3 Color Utilities in R • 11.4 colorRamp() • 11.5 colorRampPalette() • 11.6 RColorBrewer Package • 11.7 Using the RColorBrewer palettes • 11.8 The smoothScatter() function • 11.9 Adding transparency • 11.10 Summary • 12. Hierarchical Clustering • 12.1 Hierarchical clustering • 12.2 How do we define close? • 12.3 Example: Euclidean distance • 12.4 Example: Manhattan distance • 12.5 Example: Hierarchical clustering • 12.6 Prettier dendrograms • 12.7 Merging points: Complete • 12.8 Merging points: Average • 12.9 Using the heatmap() function • 12.10 Notes and further resources • 13. K-Means Clustering • 13.1 Illustrating the K-means algorithm • 13.2 Stopping the algorithm • 13.3 Using the kmeans() function • 13.4 Building heatmaps from K-means solutions • 13.5 Notes and further resources • 14. Dimension Reduction • 14.1 Matrix data • 14.2 Patterns in rows and columns • 14.3 Related problem • 14.4 SVD and PCA • 14.5 Unpacking the SVD: u and v • 14.6 SVD for data compression • 14.7 Components of the SVD - Variance explained • 14.8 Relationship to principal components • 14.9 What if we add a second pattern? • 14.10 Dealing with missing values • 14.11 Example: Face data • 14.12 Notes and further resources • 15. The ggplot2 Plotting System: Part 1 • 15.1 The Basics: qplot() • 15.2 Before You Start: Label Your Data • 15.3 ggplot2 “Hello, world!” • 15.4 Modifying aesthetics • 15.5 Adding a geom • 15.6 Histograms • 15.7 Facets • 15.8 Case Study: MAACS Cohort • 15.9 Summary of qplot() • 16. The ggplot2 Plotting System: Part 2 • 16.1 Basic Components of a ggplot2 Plot • 16.2 Example: BMI, PM2.5, Asthma • 16.3 Building Up in Layers • 16.4 First Plot with Point Layer • 16.5 Adding More Layers: Smooth • 16.6 Adding More Layers: Facets • 16.7 Modifying Geom Properties • 16.8 Modifying Labels • 16.9 Customizing the Smooth • 16.10 Changing the Theme • 16.11 More Complex Example • 16.12 A Quick Aside about Axis Limits • 16.13 Resources • 17. Data Analysis Case Study: Changes in Fine Particle Air Pollution in the U.S. • 17.1 Synopsis • 17.2 Loading and Processing the Raw Data • 17.3 Results • 18. About the Author