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Graphing data with R : an introduction /
"It's much easier to grasp complex data relationships with a graph than by scanning numbers in a spreadsheet. This introductory guide shows you how to use the R language to create a variety of useful graphs for visualizing and analyzing complex data for science, business, media, and many o...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Sebastopol, CA :
O'Reilly Media, Inc.,
2015.
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| Edición: | First edition. |
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
Tabla de Contenidos:
- Preface; Who Is This Book For?; Why R?; How to Use This Book; Conventions Used in This Book; Using Code Examples; Safari® Books Online; How to Contact Us; Acknowledgments; Part I. Getting Started with R; Chapter 1. R Basics; Downloading the Software; Try Some Simple Tasks; User Interface; Installing a Package: A GUI Interface; Data Structures; Sample Datasets; The Working Directory; Putting Data into R; Typing into a Command Line; Using the Data Editor; Reading from an External File; Sourcing a Script; User-Written Functions; A Taste of Things to Come.
- Exercise 1-4 Chapter 2. An Overview of R Graphics; Exporting a Graph; Exploratory Graphs and Presentation Graphs; Graphics Systems in R; Base Graphics and grid; lattice; ggplot2; Special Applications/Graphs Incorporated into Packages; User-Written Graphic Functions; Part II. Single-Variable Graphs; Chapter 3. Strip Charts; A Simple Graph; Data Can Be Beautiful; Exercise 3-1; Exercise 3-2; Chapter 4. Dot Charts; Basic Dot Chart; Exercise 4-1; Exercise 4-2; Chapter 5. Box Plots; The Box Plot; Nimrod Again; Making the Data Beautiful; Exercise 5-1; Exercise 5-2; Chapter 6. Stem-and-Leaf Plots.
- Basic Stem-and-Leaf PlotExercise 6-1; Exercise 6-2; Chapter 7. Histograms; Simple Histograms; Histograms with a Second Variable; Exercise 7-1; Exercise 7-2; Chapter 8. Kernel Density Plots; Density Estimation; Choosing a Bandwidth; Comparing Two or More Density Plots; A Background That Is Not White; The Cumulative Distribution Function; Exercise 8-1; Exercise 8-2; Chapter 9. Bar Plots (Bar Charts); Basic Bar Plot; Spine Plot; Bar Spacing and Orientation; Exercise 9-1; Exercise 9-2; Chapter 10. Pie Charts; Ordinary Pie Chart; Fan Plot; Exercise 10-1; Exercise 10-2; Chapter 11. Rug Plots.
- The Rug Plot Exercise 11-1; Part III. Two-Variable Graphs; Chapter 12. Scatter Plots and Line Charts; Basic Scatter Plots; Line Charts; Templates; Enhanced Scatter Plots; Exercise 12-1; Exercise 12-2; Chapter 13. High-Density Plots; Working with Large Datasets; Sunflower Plot; Smooth Scatter Plot; Exercise 13-1; Chapter 14. The Bland-Altman Plot; Assessing Measurement Reliability; Exercise 14-1; A Shorter Version of baplot(); Chapter 15. QQ Plots; Comparing Sets of Numbers; Exercise 15-1; Exercise 15-2; Part IV. Multivariable Graphs; Chapter 16. Scatter plot Matrices and Corrgrams.
- Scatter plot MatrixCorrgram; Generalized Pairs Matrix with Mixed Quantitative and Categorical Variables; Exercise 16-1; Chapter 17. Three-Dimensional Plots; 3D Scatter plots; False Color Plots; Bubble Plots; Exercise 17-1; Exercise 17-2; Chapter 18. Coplots (Conditioning Plots); The Coplot; Exercise 18-1; Chapter 19. Clustering: Dendrograms and Heat Maps; Clustering; Heat Maps; Exercise 19-1; Exercise 19-2; Exercise 19-3; Chapter 20. Mosaic Plots; Graphing Categorical Data; Exercise 20-1; Part V. What Now?; Chapter 21. Resources for Extending Your Knowledge of Things Graphical and R Fluency.