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Introductory Time Series with R (Use R!)
Introductory Time Series with R (Use R!)
by Paul S.P. Cowpertwait
Edition: Paperback
Price: 36.18

1 of 1 people found the following review helpful
4.0 out of 5 stars Good book for the beginner in time-series., 5 July 2013
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As stated in the title, this book introduces the reader to a number of time-series analysis methods supported in R. Several packages are presented, and the time-series format. There is a lack of coverage of the most advanced, and therefore more commonly used time-series formats, such as zoo, but I expect that the novice programmer will still find in this book a lot of useful information (and examples) on the various time-series methods and their application through R.


ggplot2: Elegant Graphics for Data Analysis (Use R!)
ggplot2: Elegant Graphics for Data Analysis (Use R!)
by Hadley Wickham
Edition: Paperback
Price: 35.41

5.0 out of 5 stars A very friendly and systematic approach to get you working on the powerful ggplot2 engine., 5 July 2013
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Gradually taking the reader from the simple to the more elaborated plot building process, this is a book that most R programmers will enjoy and it will provide them the complete design power that ggplot2 supports.


Analysis of Integrated and Cointegrated Time Series with R (Use R!)
Analysis of Integrated and Cointegrated Time Series with R (Use R!)
by Bernhard Pfaff
Edition: Paperback
Price: 42.78

5.0 out of 5 stars The most comprehensive book on integration and co-integration., 8 April 2013
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Integration and cointegration are advanced time-series analysis topics. These topics may be addressed occasionally in various texts, but there was not any book to include a thorough and complete presentation of the methods and their application using R. Bernhard's Pfaff book achieves exactly this. Using a non-sophisticated but also non-simplistic way to present the topics, Pfaff includes in his 180 pages book all that is needed for a comprehensive understanding of the state-of-the-art methods for analysis of integrated time-series and cointegration. Fully recommended for the professionals working on time-series, or for the graduate students who wish to deepen their knowledge in this intriguing topic.


The Art of R Programming: A Tour of Statistical Software Design
The Art of R Programming: A Tour of Statistical Software Design
by Norman Matloff
Edition: Paperback
Price: 20.74

3 of 4 people found the following review helpful
5.0 out of 5 stars A book for developers., 25 Dec 2012
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Clearly doing what it states in the title, the book introduces the developer to the art of R programming.
It is written with a clear vision to address developers (C++, Pearl, etc) it fully succeeds not only to provide a smooth introduction to R, but also to be used as a reference book afterwords, for quick checking during development. Through the examples, the book manages to give the reader the flavor of developing algorithms in R, turning the learning process into an easy adaptation of programming skills to the comfortable R environment.


Doing Bayesian Data Analysis: A Tutorial with R and BUGS
Doing Bayesian Data Analysis: A Tutorial with R and BUGS
by John K. Kruschke
Edition: Hardcover
Price: 44.03

5.0 out of 5 stars An excellent introductory book., 25 Dec 2012
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This is a book addressed to anyone who wants a clear and step-by-step introduction to the state-of-the-art Bayesian methods, using the popular R and BUGS packages.
Useful to anyone who deals with data mining, especially to those without a rich mathematical background, such as software developers, to quickly get a grasp and start applying robust and powerful methods in their data analyses.


Statistics and Data Analysis for Financial Engineering (Springer Texts in Statistics)
Statistics and Data Analysis for Financial Engineering (Springer Texts in Statistics)
by David Ruppert
Edition: Hardcover
Price: 63.51

0 of 1 people found the following review helpful
5.0 out of 5 stars An excellent and hands-on book on financial engineering., 24 Nov 2012
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A well-organized, complete guide for data analysis in financial engineering, coupled with practical coding examples in R. Irrespectively of the familiarity that someone has with financial engineering, this book is able to provide an insight in the methods and the state-of-the-art approaches for statistical and data analysis.


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