Learn how to design heat maps in R to enhance your data analysis using Packt's new eBook

July 2013 | Cookbooks

Packt is pleased to announce the release of Instant Heat Maps in R How-to by Sebastian Raschka. Packed with practical, step-by-step instructions and clear explanations for the most important tasks, this concise guide starts with a simple heat map and then shows the reader how to create more advanced heat maps with graphics and data manipulation.

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 protein-ligand docking software, based on a novel approach of combining 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.

A heat map is a graphical representation of data where the individual values contained in a matrix are represented as colors. Fractal maps and tree maps often use a similar system of color-coding to represent the values taken by a variable in a hierarchy. The term is also used to mean its thematic application as a choropleth map.

R is a free software programming language and a software environment for statistical computing and graphics. The R language is widely used among statisticians and data miners for developing statistical software and data analysis. Polls and surveys of data minersare show that R's popularity has increased substantially in recent years.

Instant Heat Maps in R How-to will show readers how to use different heat map functions in R, customize the layout of their heat maps, read the data and apply it to the heat map, export their heat maps into high-quality picture formats, display geographical data on chloropleth maps and contour plots, as well as add interactive hover effects to their heat maps.

The book will explain all the different heat map plotting functions that exist in R. Readers will start by creating simple heat maps before learning how to add more features to them, discovering which tool is best to get the job done as they advance through the tasks in the book. Readers will also learn how to read data from popular file formats and how to format the data to create heat maps, as well as the different ways to export them for presentation.

Instant Heat Maps in R How-to will be useful for anyone who wants to get the most out of data analysis. Some experience in using R and how to run basic scripts from the command line will help. However, knowledge of other statistical scripting languages such as Octave, S-Plus, or MATLAB will suffice to work through the recipes. Readers don't have to be from a statistics background. To learn more about this book, visit the Packt bookpage.

Instant Heat Maps in R How-to
Learn how to design heat maps in R to enhance your data analysis

For more information, please visit book page

Code Download and Errata
Packt Anytime, Anywhere
Register Books
Print Upgrades
eBook Downloads
Video Support
Contact Us
Awards Voting Nominations Previous Winners
Judges Open Source CMS Hall Of Fame CMS Most Promising Open Source Project Open Source E-Commerce Applications Open Source JavaScript Library Open Source Graphics Software
Resources
Open Source CMS Hall Of Fame CMS Most Promising Open Source Project Open Source E-Commerce Applications Open Source JavaScript Library Open Source Graphics Software