R Graphs Cookbook Second Edition

Choosing fonts for PostScripts and PDFs

Choosing font families and styles under Windows Mac OS X and Linux

Using graph templates

Adding text descriptions to graphs

Adding mathematical and scientific notations (typesetting)

Exporting graphs in vector formats – SVG PDF and PS

Exporting graphs in high-resolution image formats – PNG JPEG BMP and TIFF

Introduction

Chapter 15. Finalizing Graphs for Publications and Presentations

Three-dimensional density plots

Three-dimensional bar charts

Three-dimensional scatter plots with a regression plane

Three-dimensional scatter plots

Introduction

Chapter 14. Three-dimensional Visualizations

Zooming and filtering

Visualizing mixed data

Multivariate categorical data visualization

Multivariate continuous data visualization

Introduction

Chapter 13. Inspecting Large Datasets

Graph annotation with ggplot

Creating a line chart

Creating a layered plot with a scatter plot and fitted line

Creating a box plot

Visualizing the density of a numeric variable

Creating a bar chart with error bars

Creating multiple bar charts

Creating bar charts

Introduction

Chapter 12. Data Visualization Using ggplot2

Creating a conditional scatter plot

Creating a boxplot

Visualizing an empirical Cumulative Distribution Function

Creating a normal Q-Q plot

Visualizing distributions through a kernel-density plot

Creating a conditional histogram

Creating bar charts to visualize cross-tabulation

Creating stacked bar charts

Creating bar charts

Introduction

Chapter 11. Data Visualization Using Lattice

Working with ESRI shapefiles

Creating and reading KML data

Plotting data on Google maps

Creating graphs with regional maps

Plotting global data by countries on a world map

Introduction

Chapter 10. Creating Maps

Visualizing time series as calendar heat maps

Creating three-dimensional surface plots

Creating filled contour plots

Creating contour plots

Summarizing multivariate data in a single heat map

Creating correlation heat maps

Creating heat maps of a single Z variable with a scale

Introduction

Chapter 9. Creating Heat Maps and Contour Plots

Splitting a variable at arbitrary values into subsets

Showing the number of observations

Adjusting the extent of plot whiskers outside the box

Changing the box styling

Creating horizontal box plots

Including or excluding outliers

Creating box plots with notches

Varying box widths by the number of observations

Grouping over a variable

Creating box plots with narrow boxes for a small number of variables

Introduction

Chapter 8. Box and Whisker Plots

Histograms in the margins of line and scatter plots

Multiple histograms along the diagonal of a pairs plot

Overlaying a density line over a histogram

Adjusting histogram styles – bar colors borders and axes

Setting the bin size and the number of breaks

Visualizing distributions as count frequencies or probability densities

Introduction

Chapter 7. Creating Histograms

Adding a legend to a pie chart

Labeling a pie chart with percentage values for each slice

Making better readable pie charts with clockwise-ordered slices

Modifying dot charts by grouping variables

Creating bar charts with vertical error bars

Placing labels inside bars

Displaying values on top of or next to the bars

Adjusting bar widths spacing colors and borders

Adjusting the orientation of bars – horizontal and vertical

Creating stacked bar charts

Creating bar charts with more than one factor variable

Introduction

Chapter 6. Creating Bar Dot and Pie Charts

Creating stock charts

Plotting data with varying time-averaging periods

Adding vertical markers to indicate specific time events

Annotating axis labels in different human-readable time formats

Plotting the date or time variable on the x axis

Formatting time series data for plotting

Plotting functions of a variable in a dataset

Creating sparklines

Adding marker lines at specific x and y values using abline

Adding horizontal and vertical grid lines

Using margin labels instead of legends for multiple-line graphs

Adding customized legends for multiple-line graphs

Introduction

Chapter 5. Creating Line Graphs and Time Series Charts

Creating scatter plots with a smoothed density representation

Displaying the data density on axes

Creating Quantile-Quantile plots

Creating three-dimensional scatter plots

Adding nonparametric model curves with lowess

Adding nonlinear model curves

Adding linear model lines

Using jitter to distinguish closely packed data points

Adding error bars

Correlation matrix using pairs plots

Labeling data points

Highlighting grouped data points by size and symbol type

Grouping data points within a scatter plot

Introduction

Chapter 4. Creating Scatter Plots

Setting graph margins and dimensions

Formatting log axes

Adjusting axis annotations and tick marks

Choosing box styles

Choosing line styles and width

Choosing plotting point symbol styles and sizes

Setting fonts for annotations and titles

Choosing color combinations and palettes

Setting colors for text elements – axis annotations labels plot titles and legends

Setting plot background colors

Setting colors of points lines and bars

Introduction

Chapter 3. Beyond the Basics – Adjusting Key Parameters

Saving and exporting graphs

Creating graphs with maps

Adding and formatting legends

Creating multiple plot matrix layouts

Creating pairs plots

Creating heat maps

Adjusting x and y axes' limits

Creating box plots

Creating histograms and density plots

Creating bar charts

Creating line graphs

Creating basic scatter plots

Introduction

Chapter 2. Basic Graph Functions

Graphs inspired by Grammar of Graphics

Trellis graphs using lattice

Base graphics using the default package

Chapter 1. R Graphics

Customer support

Reader feedback

Conventions

Who this book is for

What you need for this book

What this book covers

Preface

Support files eBooks discount offers and more

www.PacktPub.com

About the Reviewers

About the Authors

Credits

版权页

封面

封面

版权页

Credits

About the Authors

About the Reviewers

www.PacktPub.com

Support files eBooks discount offers and more

Preface

What this book covers

What you need for this book

Who this book is for

Conventions

Reader feedback

Customer support

Chapter 1. R Graphics

Base graphics using the default package

Trellis graphs using lattice

Graphs inspired by Grammar of Graphics

Chapter 2. Basic Graph Functions

Introduction

Creating basic scatter plots

Creating line graphs

Creating bar charts

Creating histograms and density plots

Creating box plots

Adjusting x and y axes' limits

Creating heat maps

Creating pairs plots

Creating multiple plot matrix layouts

Adding and formatting legends

Creating graphs with maps

Saving and exporting graphs

Chapter 3. Beyond the Basics – Adjusting Key Parameters

Introduction

Setting colors of points lines and bars

Setting plot background colors

Setting colors for text elements – axis annotations labels plot titles and legends

Choosing color combinations and palettes

Setting fonts for annotations and titles

Choosing plotting point symbol styles and sizes

Choosing line styles and width

Choosing box styles

Adjusting axis annotations and tick marks

Formatting log axes

Setting graph margins and dimensions

Chapter 4. Creating Scatter Plots

Introduction

Grouping data points within a scatter plot

Highlighting grouped data points by size and symbol type

Labeling data points

Correlation matrix using pairs plots

Adding error bars

Using jitter to distinguish closely packed data points

Adding linear model lines

Adding nonlinear model curves

Adding nonparametric model curves with lowess

Creating three-dimensional scatter plots

Creating Quantile-Quantile plots

Displaying the data density on axes

Creating scatter plots with a smoothed density representation

Chapter 5. Creating Line Graphs and Time Series Charts

Introduction

Adding customized legends for multiple-line graphs

Using margin labels instead of legends for multiple-line graphs

Adding horizontal and vertical grid lines

Adding marker lines at specific x and y values using abline

Creating sparklines

Plotting functions of a variable in a dataset

Formatting time series data for plotting

Plotting the date or time variable on the x axis

Annotating axis labels in different human-readable time formats

Adding vertical markers to indicate specific time events

Plotting data with varying time-averaging periods

Creating stock charts

Chapter 6. Creating Bar Dot and Pie Charts

Introduction

Creating bar charts with more than one factor variable

Creating stacked bar charts

Adjusting the orientation of bars – horizontal and vertical

Adjusting bar widths spacing colors and borders

Displaying values on top of or next to the bars

Placing labels inside bars

Creating bar charts with vertical error bars

Modifying dot charts by grouping variables

Making better readable pie charts with clockwise-ordered slices

Labeling a pie chart with percentage values for each slice

Adding a legend to a pie chart

Chapter 7. Creating Histograms

Introduction

Visualizing distributions as count frequencies or probability densities

Setting the bin size and the number of breaks

Adjusting histogram styles – bar colors borders and axes

Overlaying a density line over a histogram

Multiple histograms along the diagonal of a pairs plot

Histograms in the margins of line and scatter plots

Chapter 8. Box and Whisker Plots

Introduction

Creating box plots with narrow boxes for a small number of variables

Grouping over a variable

Varying box widths by the number of observations

Creating box plots with notches

Including or excluding outliers

Creating horizontal box plots

Changing the box styling

Adjusting the extent of plot whiskers outside the box

Showing the number of observations

Splitting a variable at arbitrary values into subsets

Chapter 9. Creating Heat Maps and Contour Plots

Introduction

Creating heat maps of a single Z variable with a scale

Creating correlation heat maps

Summarizing multivariate data in a single heat map

Creating contour plots

Creating filled contour plots

Creating three-dimensional surface plots

Visualizing time series as calendar heat maps

Chapter 10. Creating Maps

Introduction

Plotting global data by countries on a world map

Creating graphs with regional maps

Plotting data on Google maps

Creating and reading KML data

Working with ESRI shapefiles

Chapter 11. Data Visualization Using Lattice

Introduction

Creating bar charts

Creating stacked bar charts

Creating bar charts to visualize cross-tabulation

Creating a conditional histogram

Visualizing distributions through a kernel-density plot

Creating a normal Q-Q plot

Visualizing an empirical Cumulative Distribution Function

Creating a boxplot

Creating a conditional scatter plot

Chapter 12. Data Visualization Using ggplot2

Introduction

Creating bar charts

Creating multiple bar charts

Creating a bar chart with error bars

Visualizing the density of a numeric variable

Creating a box plot

Creating a layered plot with a scatter plot and fitted line

Creating a line chart

Graph annotation with ggplot

Chapter 13. Inspecting Large Datasets

Introduction

Multivariate continuous data visualization

Multivariate categorical data visualization

Visualizing mixed data

Zooming and filtering

Chapter 14. Three-dimensional Visualizations

Introduction

Three-dimensional scatter plots

Three-dimensional scatter plots with a regression plane

Three-dimensional bar charts

Three-dimensional density plots

Chapter 15. Finalizing Graphs for Publications and Presentations

Introduction

Exporting graphs in high-resolution image formats – PNG JPEG BMP and TIFF

Exporting graphs in vector formats – SVG PDF and PS

Adding mathematical and scientific notations (typesetting)

Adding text descriptions to graphs

Using graph templates

Choosing font families and styles under Windows Mac OS X and Linux

Choosing fonts for PostScripts and PDFs