Book Image

R Graphs Cookbook Second Edition

Book Image

R Graphs Cookbook Second Edition

Overview of this book

Related Content you might be interested in

Current Title:

Small book image
R Graphs Cookbook Second Edition
Oct, 2014 | 368 pages
No titles found
Table of Contents (22 chapters)
R Graphs Cookbook
R Graphs Cookbook
Credits
Credits
About the Authors
About the Authors
About the Reviewers
About the Reviewers
www.PacktPub.com
www.PacktPub.com
Preface
Preface
Free Chapter
1
R Graphics
R Graphics
Base graphics using the default package
Trellis graphs using lattice
Graphs inspired by Grammar of Graphics
2
Basic Graph Functions
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
3
Beyond the Basics – Adjusting Key Parameters
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
4
Creating Scatter Plots
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
5
Creating Line Graphs and Time Series Charts
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
6
Creating Bar, Dot, and Pie Charts
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
7
Creating Histograms
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
8
Box and Whisker Plots
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
9
Creating Heat Maps and Contour Plots
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
10
Creating Maps
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
11
Data Visualization Using Lattice
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
12
Data Visualization Using ggplot2
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
13
Inspecting Large Datasets
Inspecting Large Datasets
Introduction
Multivariate continuous data visualization
Multivariate categorical data visualization
Visualizing mixed data
Zooming and filtering
14
Three-dimensional Visualizations
Three-dimensional Visualizations
Introduction
Three-dimensional scatter plots
Three-dimensional scatter plots with a regression plane
Three-dimensional bar charts
Three-dimensional density plots
15
Finalizing Graphs for Publications and Presentations
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
Index
Index

About the Reviewers

Devangana is a consultant and application developer at ThoughtWorks Inc., working on a range of exciting projects, primarily in the data analytics domain. She has over 4 years of experience in data analytics, social network analysis, machine learning, and information retrieval. She is also the founder of Women Who Code, Bengaluru. She holds a Master's degree in Theoretical Computer Science with specialization in Social Networks Analysis from PSG College of Technology, Coimbatore. In her spare time, she loves cooking and reading books, mostly in the History, Economics, and Social Sciences genres.

Vibhav Kamath holds a Master's degree in Industrial Engineering and Operations Research from Indian Institute of Technology, Bombay, and a Bachelor's degree in Electronics Engineering from College of Engineering, Pune. During his post graduation, he was intrigued with algorithms and mathematical modeling and has been involved in analytics since then. He is currently based out of Bangalore and works for an IT services firm. As a part of his job, he has developed statistical/mathematical models based on techniques such as optimization and linear regression using the R programming language. In the past, he has also handled data visualization and dashboarding for a leading global bank using platforms such as SAS, SQL, and Excel/VBA.

In the past, he has also worked in areas such as discrete event simulation and speech processing (both on MATLAB) as part of his academics. He likes building hobby projects in Python—one such project involves him working as a stock screener for the Indian stock market. He has also worked in the field of robotics in the past and built an autonomous robot called micromouse, which navigates through a maze. Apart from analytics and programming, Vibhav takes interest in reading and likes both fiction and nonfiction books. He plays table tennis in his free time, follows cricket and tennis, and likes solving puzzles (Sudoku, Kakuro) when really bored. You can get in touch with him through e-mail at and on LinkedIn at in.linkedin.com/in/vibhavkamath).

Kent Russell works in finance as a portfolio manager in Birmingham, Alabama, and codes in R.

Joshua F. Wiley is a health researcher and senior analyst at Elkhart Group Ltd. As an analyst and statistical consultant, Joshua focuses on biostatistics and is interested in reproducible research and graphical displays of data and statistical models. Through his work at Elkhart Group Ltd., he has supported a wide array of clients, ranging from graduate students to experienced researchers and biotechnology companies.

Previous Section
Next Chapter