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1. 

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...

2. 

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. ...

3. 

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...

4. 

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. Twenty different real-world case studies illustrate various techniques in rapidly growing areas, including: Retail Crime and homeland security Stock markets Social media Sports ...

5. 

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...

6. 

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...

7. 

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....

8. 

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...

9. 

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....

10. 

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...

11. 

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

Slots: 1.0

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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...

12. 

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...

13. 

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,...

14. 

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...

15. 

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...

16. 

Financial Risk Modelling and Portfolio Optimization with R

Financial Risk Modelling and Portfolio Optimization with R

By: 

Publisher: John Wiley & Sons

Publication Date: 14-JAN-2013

Insert Date: 15-JAN-2013

Slots: 1.0

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Introduces the latest techniques advocated for measuring financial market risk and portfolio optimisation, and provides a plethora of R code examples that enable the reader to replicate the results featured throughout the book. Financial Risk Modelling and Portfolio Optimisation with R: Demonstrates techniques in modelling financial risks and applying portfolio optimisation techniques as well as recent advances in the field. Introduces stylised facts, loss function and risk measures, conditional and unconditional modelling of risk; extreme value theory, generalised hyperbolic...

17. 

The Essential R Reference

The Essential R Reference

By: 

Publisher: John Wiley & Sons

Publication Date: 19-NOV-2012

Insert Date: 11-JAN-2013

Slots: 1.0

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An essential library of basic commands you can copy and paste into R The powerful and open-source statistical programming language R is rapidly growing in popularity, but it requires that you type in commands at the keyboard rather than use a mouse, so you have to learn the language of R. But there is a shortcut, and that's where this unique book comes in. A companion book to Visualize This: The FlowingData Guide to Design, Visualization, and Statistics, this practical reference is a library of basic R commands that you can copy and paste into R to perform many types of statistical...

18. 

Learning RStudio for R Statistical Computing

Learning RStudio for R Statistical Computing

By: Mark van der Loo; Edwin de Jonge

Publisher: Packt Publishing

Publication Date: 24-DEC-2012

Insert Date: 25-DEC-2012

Slots: 1.0

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"Learn to effectively perform R development and statistical analysis and reporting. A complete practical tutorial for RStudio, designed keeping in mind the needs of analysts and R developers alike Step-by-step examples that apply the principles of reproducible research and good programming practices to R projects Learn to effectively generate reports, create graphics, and perform analysis, and even build R-packages with RStudio In Detail Data is coming at us faster, dirtier, and at an ever increasing rate. The necessity to handle many, complex statistical analysis...

19. 

R Graphics Cookbook

R Graphics Cookbook

By: 

Publisher: O'Reilly Media, Inc.

Publication Date: 27-DEC-2012

Insert Date: 08-DEC-2012

Slots: 1.0

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This practical guide provides more than 150 recipes to help you generate high-quality graphs quickly, without having to comb through all the details of R’s graphing systems. Each recipe tackles a specific problem with a solution you can apply to your own project, and includes a discussion of how and why the recipe works....

20. 

A First Course in Statistical Programming with R

A First Course in Statistical Programming with R

By: W. John Braun; Duncan J. Murdoch

Publisher: Cambridge University Press

Publication Date: 13-DEC-2007

Insert Date: 29-NOV-2012

Slots: 1.0

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This is the only introduction you'll need to start programming in R, the open-source language that is free to download, and lets you adapt the source code for your own requirements. Co-written by one of the R Core Development Team, and by an established R author, this book comes with real R code that complies with the standards of the language. Unlike other introductory books on the ground-breaking R system, this book emphasizes programming, including the principles that apply to most computing languages, and techniques used to develop more complex projects. Learning the language is made...