R

Detailed hands-on recipes for creating the most useful types of graphs in R - starting from the simplest versions to more advanced applications

• Learn to draw any type of graph or visual data representation in R
• Filled with practical tips and techniques for creating any type of graph you need; not just theoretical explanations
• All examples are accompanied with the corresponding graph images, so you know what the results look like
• Each recipe is independent and contains the complete explanation and code to perform the task as efficiently as possible

In Detail

With more than two million users worldwide, R is one of the most popular open source projects. It is a free and robust statistical programming environment with very powerful graphical capabilities. Analyzing and visualizing data with R is a necessary skill for anyone doing any kind of statistical analysis, and this book will help you do just that in the easiest and most efficient way possible.

Unlike other books on R, this book takes a practical, hands-on approach and you dive straight into creating graphs in R right from the very first page.

You want to harness the power of this open source programming language to visually present and analyze your data in the best way possible - and this book will show you how.

The R Graph Cookbook takes a practical approach to teaching how to create effective and useful graphs using R. This practical guide begins by teaching you how to make basic graphs in R and progresses through subsequent dedicated chapters about each graph type in depth. It will demystify a lot of difficult and confusing R functions and parameters and enable you to construct and modify data graphics to suit your analysis, presentation, and publication needs.

You will learn all about making graphics such as scatter plots, line graphs, bar charts, pie charts, dot plots, heat maps, histograms and box plots. In addition, there are detailed recipes on making various combinations and advanced versions of these graphs. Dedicated chapters on polishing and finalizing graphs will enable you to produce professional-quality graphs for presentation and publication. With R Graph Cookbook in hand, making graphs in R has never been easier

What you will learn from this book

• Construct multiple graph matrix layouts
• Summarize multivariate datasets with a single graph
• Create custom graph functions to avoid code repetition
• Make and re-use visual themes for graphs
• Save and export graphs in various formats to print or publish
• Learn to use fonts and annotations in graphs on Windows, Mac, and Linux
• Combine different graph types to give a better visual summary of complex datasets
• Present geographical data on maps
• Use heatmaps to spot trends and anomalies in large datasets
• Add scientific annotations and formulae to label graphs
• Add text descriptions to create graph presentation handouts
• Create beautiful color palettes and apply them to graphs

Approach

This hands-on guide cuts short the preamble and gets straight to the point - actually creating graphs, instead of just theoretical learning. Each recipe is specifically tailored to fulfill your appetite for visually representing you data in the best way possible.

Who this book is written for

This book is for readers already familiar with the basics of R who want to learn the best techniques and code to create graphics in R in the best way possible. It will also serve as an invaluable reference book for expert R users.

Detailed hands-on recipes for creating the most useful types of graphs in R - starting from the simplest versions to more advanced applications

• Learn to draw any type of graph or visual data representation in R
• Filled with practical tips and techniques for creating any type of graph you need; not just theoretical explanations
• All examples are accompanied with the corresponding graph images, so you know what the results look like
• Each recipe is independent and contains the complete explanation and code to perform the task as efficiently as possible

In Detail

With more than two million users worldwide, R is one of the most popular open source projects. It is a free and robust statistical programming environment with very powerful graphical capabilities. Analyzing and visualizing data with R is a necessary skill for anyone doing any kind of statistical analysis, and this book will help you do just that in the easiest and most efficient way possible.

Unlike other books on R, this book takes a practical, hands-on approach and you dive straight into creating graphs in R right from the very first page.

You want to harness the power of this open source programming language to visually present and analyze your data in the best way possible - and this book will show you how.

The R Graph Cookbook takes a practical approach to teaching how to create effective and useful graphs using R. This practical guide begins by teaching you how to make basic graphs in R and progresses through subsequent dedicated chapters about each graph type in depth. It will demystify a lot of difficult and confusing R functions and parameters and enable you to construct and modify data graphics to suit your analysis, presentation, and publication needs.

You will learn all about making graphics such as scatter plots, line graphs, bar charts, pie charts, dot plots, heat maps, histograms and box plots. In addition, there are detailed recipes on making various combinations and advanced versions of these graphs. Dedicated chapters on polishing and finalizing graphs will enable you to produce professional-quality graphs for presentation and publication. With R Graph Cookbook in hand, making graphs in R has never been easier

What you will learn from this book

• Construct multiple graph matrix layouts
• Summarize multivariate datasets with a single graph
• Create custom graph functions to avoid code repetition
• Make and re-use visual themes for graphs
• Save and export graphs in various formats to print or publish
• Learn to use fonts and annotations in graphs on Windows, Mac, and Linux
• Combine different graph types to give a better visual summary of complex datasets
• Present geographical data on maps
• Use heatmaps to spot trends and anomalies in large datasets
• Add scientific annotations and formulae to label graphs
• Add text descriptions to create graph presentation handouts
• Create beautiful color palettes and apply them to graphs

Approach

This hands-on guide cuts short the preamble and gets straight to the point - actually creating graphs, instead of just theoretical learning. Each recipe is specifically tailored to fulfill your appetite for visually representing you data in the best way possible.

Who this book is written for

This book is for readers already familiar with the basics of R who want to learn the best techniques and code to create graphics in R in the best way possible. It will also serve as an invaluable reference book for expert R users.

Written by experienced process improvement professionals who have developed and implemented systems in organizations around the world, Interpreting the CMMI®: A Process Improvement Approach provides you with specific techniques for performing process improvement using the CMMI® and the family of CMM models. Kulpa and Johnson describe the fundamental concepts of the CMMI® model - goals, practices, architecture, and definitions - in everyday language, give real-world examples, and provide a structured approach for implementing the concepts of the CMMI® into any organization. They walk you through the myriad charts and graphs involved in statistical process control and offer recommendations for which tools to use.The book covers roles and responsibilities, people issues, how to generate meaningful documentation, how to overcome resistance to change, and how to track the success of your efforts. It provides examples of plans, policies, processes, procedures, and team charters. The appendices include matrices summarizing the different assessment techniques that have now been approved by the SEI for use, "pros and cons" associated with this model, some of the myths that have arisen from the marketing of the CMMI® effort, and forms and templates. The book comes with a CD-ROM that contains forms and templates that can be downloaded and customized.The authors distill the knowledge gained in their combined 60 years of experience in project management, software engineering, systems engineering, metrics, quality assurance, configuration management, training, documentation, process improvement, and team building. Whether you are new to process improvement or an experienced professional, Interpreting the CMMI®: A Process Improvement Approach saves you time wasted on false starts, false promises by marketers, and failed deadlines.