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1. 

Hands-On Programming with R

Hands-On Programming with R

By: 

Publisher: O'Reilly Media, Inc.

Publication Date: 25-JUL-2014

Insert Date: 15-JUL-2014

Slots: 1.0

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Learn how to program by diving into the R language, and then use your newfound skills to solve practical data science problems. With this book, you’ll learn how to load data, assemble and disassemble data objects, navigate R’s environment system, write your own functions, and use all of R’s programming tools....

2. 

Using R for Statistics

Using R for Statistics

By: Sarah Stowell

Publisher: Apress

Publication Date: 29-JUN-2014

Insert Date: 04-JUL-2014

Slots: 1.0

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" R is a popular and growing open source statistical analysis and graphics environment as well as a programming language and platform. If you need to use a variety of statistics, then Using R for Statistics will get you the answers to most of the problems you are likely to encounter.Using R for Statistics is a problem-solution primer for using R to set up your data, pose your problems and get answers using a wide array of statistical tests. The book walks you through R basics and how to use R to accomplish a wide variety statistical operations. You'll be able to navigate the R system,...

3. 

Bioinformatics with R Cookbook

Bioinformatics with R Cookbook

By: Paurush Praveen Sinha

Publisher: Packt Publishing

Publication Date: 23-JUN-2014

Insert Date: 25-JUN-2014

Slots: 1.0

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Over 90 practical recipes for computational biologists to model and handle real-life data using R Use the existing R-packages to handle biological data Represent biological data with attractive visualizations An easy-to-follow guide to handle real-life problems in Bioinformatics like Next Generation Sequencing and Microarray Analysis In Detail Bioinformatics is an interdisciplinary field that develops and improves upon the methods for storing, retrieving, organizing, and analyzing biological data. R is the primary language used for handling most of the data analysis work...

4. 

R Quick Syntax Reference

R Quick Syntax Reference

By: Margot Tollefson

Publisher: Apress

Publication Date: 29-APR-2014

Insert Date: 07-MAY-2014

Slots: 1.0

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The R Quick Syntax Reference is a handy reference book detailing the intricacies of the R language. Not only is R a free, open-source tool, R is powerful, flexible, and has state of the art statistical techniques available. With the many details which must be correct when using any language, however, the R Quick Syntax Reference makes using R easier. Starting with the basic structure of R, the book takes you on a journey through the terminology used in R and the syntax required to make R work. You will find looking up the correct form for an expression quick and easy. With a copy of the...

5. 

Practical Data Science with R

Practical Data Science with R

By: Nina Zumel and John Mount

Publisher: Manning Publications

Publication Date: 25-MAR-2014

Insert Date: 25-APR-2014

Slots: 1.0

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Summary Practical Data Science with R lives up to its name. It explains basic principles without the theoretical mumbo-jumbo and jumps right to the real use cases you'll face as you collect, curate, and analyze the data crucial to the success of your business. You'll apply the R programming language and statistical analysis techniques to carefully explained examples based in marketing, business intelligence, and decision support. About the Book Business analysts and developers are increasingly collecting, curating, analyzing, and reporting on crucial business data. The R language and...

6. 

Social Media Mining with R

Social Media Mining with R

By: Richard Heimann; Nathan Danneman

Publisher: Packt Publishing

Publication Date: 25-MAR-2014

Insert Date: 27-MAR-2014

Slots: 1.0

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Deploy cutting-edge sentiment analysis techniques to real-world social media data using R Learn how to face the challenges of analyzing social media data Get hands-on experience with the most common, up-to-date sentiment analysis tools and apply them to data collected from social media websites through a series of in-depth case studies, which includes how to mine Twitter data A focused guide to help you achieve practical results when interpreting social media data In Detail The growth of social media over the last decade has revolutionized the way individuals interact...

7. 

Foundational and Applied Statistics for Biologists Using R

Foundational and Applied Statistics for Biologists Using R

By: Ken Aho

Publisher: Chapman and Hall/CRC

Publication Date: 13-DEC-2013

Insert Date: 26-FEB-2014

Slots: 1.0

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Full of biological applications, exercises, and interactive graphical examples, this text presents comprehensive coverage of both modern analytical methods and statistical foundations. The author harnesses the inherent properties of the R environment to enable students to examine the code of complicated procedures step by step and thus better understand the process of obtaining analysis results. The graphical capabilities of R are used to provide interactive demonstrations of simple to complex statistical concepts. R code and other materials are available online. ...

8. 

Data Manipulation with R

Data Manipulation with R

By: Jaynal Abedin

Publisher: Packt Publishing

Publication Date: 15-JAN-2014

Insert Date: 16-JAN-2014

Slots: 1.0

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Perform group-wise data manipulation and deal with large datasets using R effi ciently and effectively Perform factor manipulation and string processing Learn group-wise data manipulation using plyr Handle large datasets, interact with database software, and manipulate data using sqldf In Detail One of the most important aspects of computing with data is the ability to manipulate it to enable subsequent analysis and visualization. R offers a wide range of tools for this purpose. Data from any source, be it flat files or databases, can be loaded into R and this will allow...

9. 

Data Mining Applications with R

Data Mining Applications with R

By: Yanchang Zhao; Yonghua Cen

Publisher: Academic Press

Publication Date: 26-NOV-2013

Insert Date: 14-DEC-2013

Slots: 1.0

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Data Mining Applications with R is a great resource for researchers and professionals to understand the wide use of R, a free software environment for statistical computing and graphics, in solving different problems in industry. R is widely used in leveraging data mining techniques across many different industries, including government, finance, insurance, medicine, scientific research and more. This book presents 15 different real-world case studies illustrating various techniques in rapidly growing areas. It is an ideal companion for data mining researchers in academia and industry...

10. 

Machine Learning with R

Machine Learning with R

By: Brett Lantz

Publisher: Packt Publishing

Publication Date: 25-OCT-2013

Insert Date: 30-OCT-2013

Slots: 1.0

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Learn how to use R to apply powerful machine learning methods and gain an insight into real-world applications Harness the power of R for statistical computing and data science Use R to apply common machine learning algorithms with real-world applications Prepare, examine, and visualize data for analysis Understand how to choose between machine learning models Packed with clear instructions to explore, forecast, and classify data In Detail Machine learning, at its core, is concerned with transforming data into actionable knowledge. This fact makes machine learning...

11. 

Web Application Development with R Using Shiny

Web Application Development with R Using Shiny

By: Chris Beeley

Publisher: Packt Publishing

Publication Date: 22-OCT-2013

Insert Date: 23-OCT-2013

Slots: 1.0

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Harness the graphical and statistical power of R and rapidly develop interactive user interfaces using the superb Shiny package Helps you to use Shiny's built in functions to produce engaging and useful user interfaces in hours, not days Enables you to extend Shiny using JavaScript and jQuery with minimal coding Shows you how to write cutting-edge interactive content for the Web In Detail R is a highly flexible and powerful tool for analyzing and visualizing data. Shiny is the perfect companion to R, making it quick and simple to share analysis and graphics from R that...

12. 

Learning R

Learning R

By: 

Publisher: O'Reilly Media, Inc.

Publication Date: 23-SEP-2013

Insert Date: 11-SEP-2013

Slots: 1.0

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Learn how to perform data analysis with the R language and software environment, even if you have little or no programming experience. With the tutorials in this hands-on guide, you’ll learn how to use the essential R tools you need to know to analyze data, including data types and programming concepts....

13. 

Practical Graph Mining with R:

Practical Graph Mining with R:

By: Nagiza Samatova; William Hendrix; John Jenkins; Kanchana Padmanabhan; Arpan Chakraborty

Publisher: Chapman and Hall/CRC

Publication Date: 15-JUL-2013

Insert Date: 21-AUG-2013

Slots: 1.0

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Assuming no prior knowledge of mathematics or data mining, this self-contained book presents a "do-it-yourself" approach to extracting interesting patterns from graph data. Each chapter focuses on a graph mining task, such as link analysis, cluster analysis, and classification. Through many applications, the book demonstrates how computational techniques can help solve real-world problems. Every algorithm and example is accompanied with R code, allowing readers to see how the algorithmic techniques correspond to the process of graph data analysis and to use the graph mining techniques in...

14. 

R Statistical Application Development by Example Beginner's Guide

R Statistical Application Development by Example Beginner's Guide

By: Prabhanjan Narayanachar Tattar;

Publisher: Packt Publishing

Publication Date: 24-JUL-2013

Insert Date: 01-AUG-2013

Slots: 1.0

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Learn R Statistical Application Development from scratch in a clear and pedagogical manner A self-learning guide for the user who needs statistical tools for understanding uncertainty in computer science data Essential descriptive statistics, effective data visualization, and efficient model building Every method explained through real data sets enables clarity and confidence for unforeseen scenarios In Detail "R Statistical Application Development by Example Beginner’s Guide" explores statistical concepts and the R software, which are well integrated from the word go....

15. 

Pro Data Visualization using R and JavaScript

Pro Data Visualization using R and JavaScript

By: Tom Barker

Publisher: Apress

Publication Date: 19-JUN-2013

Insert Date: 11-JUL-2013

Slots: 1.0

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Pro Data Visualization using R and JavaScript makes the R language approachable, and promotes the idea of data gathering and analysis. You'll see how to use R to interrogate and analyze your data, and then use the D3 JavaScript library to format and display that data in an elegant, informative, and interactive way. You will learn how to gather data effectively, and also how to understand the philosophy and implementation of each type of chart, so as to be able to represent the results visually. With the popularity of the R language, the art and practice of creating data visualizations is...

16. 

Instant Heat Maps in R How-to

Instant Heat Maps in R How-to

By: Sebastian Raschka;

Publisher: Packt Publishing

Publication Date: 24-JUN-2013

Insert Date: 25-JUN-2013

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Learn how to design heat maps in R to enhance your data analysis 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...

17. 

An Introduction to Analysis of Financial Data with R

An Introduction to Analysis of Financial Data with R

By: 

Publisher: John Wiley & Sons

Publication Date: 29-OCT-2012

Insert Date: 13-MAY-2013

Slots: 1.0

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A complete set of statistical tools for beginning financial analysts from a leading authority Written by one of the leading experts on the topic, An Introduction to Analysis of Financial Data with R explores basic concepts of visualization of financial data. Through a fundamental balance between theory and applications, the book supplies readers with an accessible approach to financial econometric models and their applications to real-world empirical research. The author supplies a hands-on introduction to the analysis of financial data using the freely available R software package and...

18. 

The R Book

The R Book

By: Michael J. Crawley

Publisher: John Wiley & Sons

Publication Date: 19-JUN-2007

Insert Date: 13-MAY-2013

Slots: 1.0

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The high-level language of R is recognized as one of the most powerful and flexible statistical software environments, and is rapidly becoming the standard setting for quantitative analysis, statistics and graphics. R provides free access to unrivalled coverage and cutting-edge applications, enabling the user to apply numerous statistical methods ranging from simple regression to time series or multivariate analysis. Building on the success of the author's bestselling Statistics: An Introduction using R, The R Book is packed with worked examples, providing an all inclusive guide to R,...

19. 

Instant R Starter

Instant R Starter

By: Donato Teutonico;

Publisher: Packt Publishing

Publication Date: 23-APR-2013

Insert Date: 26-APR-2013

Slots: 1.0

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Jump into the R programming language and go beyond "Hello World!” Learn something new in an Instant! A short, fast, focused guide delivering immediate results. Basic concepts of the R language Discover tips and tricks for working with R Learn manipulation of R objects to easily customize your code In Detail R is a versatile cross-platform environment with the power of a programming language and the flexibility of a scripting language. It is extremely powerful in manipulating and visualizing complex databases, performing statistical computations and producing any kind...

20. 

The R Book, 2nd Edition

The R Book, 2nd Edition

By: 

Publisher: John Wiley & Sons

Publication Date: 26-DEC-2012

Insert Date: 22-JAN-2013

Slots: 1.0

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Hugely successful and popular text presenting an extensive and comprehensive guide for all R users The R language is recognized as one of the most powerful and flexible statistical software packages, enabling users to apply many statistical techniques that would be impossible without such software to help implement such large data sets. R has become an essential tool for understanding and carrying out research. This edition: Features full colour text and extensive graphics throughout. Introduces a clear structure with numbered section headings to help readers locate...