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Instant Heat Maps in R How-to, by Sebastian Raschka
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Learn how to design heat maps in R to enhance your data analysis
Overview
- Learn something new in an Instant! A short, fast, focused guide delivering immediate results
- Create heat maps in R using different file formats
- Learn how to make chloropleth maps and contour plots
- Generate your own customized heat maps and add interactivity for displaying on the web
In Detail
R has grown rapidly over the years to become one of the most versatile and valuable tools for data analysis and graphing. One of its many useful features is the heat map representation of numerical data, which is an invaluable tool to discover patterns in data quickly and efficiently.
Instant Heat Maps in R: How-to provides you with practical recipes to create heat maps of all difficulty levels by yourself right from the start. At the end of each recipe, you will find an in-depth analysis that will equip you with everything you need to know to frame the code to your own needs.
Instant Heat Maps in R will present you with all the different heat map plotting functions that exist in R. You will start by creating simple heat maps before moving on to learn how to add more features to them. While you advance step-by-step through the well-connected recipes, you will find out which tool suits the given situation best. You will learn how to read data from popular file formats and how to format the data to create heat maps as well as the ways to export them for presentation.
What you will learn from this book
- Use different heat map functions in R
- Customize the layout of your heat maps
- Read the data and apply it to the heat map
- Export your heat maps into high-quality picture formats
- Display geographical data on chloropleth maps and contour plots
- Add interactive hover effects to your heat maps
Approach
Filled with practical, step-by-step instructions and clear explanations for the most important and useful tasks. Heat Maps in R: How-to is an easy to understand book that starts with a simple heat map and takes you all the way through to advanced heat maps with graphics and data manipulation.
Who this book is written for
Heat Maps in R: How-to is the book for you if you want to make use of this free and open source software to get the most out of your data analysis. You need to have at least some experience in using R and know how to run basic scripts from the command line. However, knowledge of other statistical scripting languages such as Octave, S-Plus, or MATLAB will suffice to follow along with the recipes. You need not be from a statistics background.
- Sales Rank: #3557749 in Books
- Published on: 2013-06-24
- Released on: 2013-06-24
- Original language: English
- Number of items: 1
- Dimensions: 9.25" h x .17" w x 7.50" l, .31 pounds
- Binding: Paperback
- 72 pages
About the Author
Sebastian Raschka is a PhD student at Michigan State University and is pursuing a doctorate in Biochemistry and Computer Science. He works in the field of protein structure modeling and is focused on the specificity of protein-ligand interactions. His research involves the development of a protein-ligand docking software based on a novel approach, where he combines the fields of machine learning, pattern recognition, and data mining. In his free time, Sebastian works on web development and uses JavaScript among other technologies to develop web applications that are used by Bioinformaticians and Computational Biologists.
Most helpful customer reviews
2 of 2 people found the following review helpful.
Excellent book for beginners in R
By Vahid Mirjalili
I am relatively new to R, and this is the second book I read on it.
It was easy to read and the walk-through examples helped me to get comfortable with the different R libraries that are being used to draw heat maps in R.
I found the many examples and figures very helpful and it is nice that the author also provided some background about the different functions.
2 of 2 people found the following review helpful.
Short and concise
By mich73
It is a really brief tutorial on heat maps in R. This is what I expected from a 72 page book, it really helps to get to the action fast. Additional information and background information was helpful, and some basic R explanations were welcome refreshers.
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