Safari Books Online is a digital library providing on-demand subscription access to thousands of learning resources.
Collapse
Featured CategoriesCollapse
Information Technology & Software Development
R
1. |  An Introduction to Analysis of Financial Data with R By: Ruey S. Tsay Publisher: John Wiley & Sons Publication Date: 29-OCT-2012 Insert Date: 13-MAY-2013 Slots: 1.0 | Overview: An Introduction to Analysis of Financial Data with R
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...
|
2. |  By: Michael J. Crawley Publisher: John Wiley & Sons Publication Date: 19-JUN-2007 Insert Date: 13-MAY-2013 Slots: 1.0 | Overview: The R Book
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,...
|
3. | 
By: Donato Teutonico; Publisher: Packt Publishing Publication Date: 23-APR-2013 Insert Date: 26-APR-2013 Slots: 1.0 | Overview: Instant R Starter
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...
|
4. |  Publisher: John Wiley & Sons Publication Date: 26-DEC-2012 Insert Date: 22-JAN-2013 Slots: 1.0 | Overview: The R Book, 2nd Edition
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...
|
5. |  Financial Risk Modelling and Portfolio Optimization with R By: Bernhard Pfaff Publisher: John Wiley & Sons Publication Date: 14-JAN-2013 Insert Date: 15-JAN-2013 Slots: 1.0 | Overview: Financial Risk Modelling and Portfolio Optimization with R
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...
|
6. |  By: Mark Gardener Publisher: John Wiley & Sons Publication Date: 19-NOV-2012 Insert Date: 11-JAN-2013 Slots: 1.0 | Overview: The Essential R Reference
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...
|
7. |  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 | Overview: Learning RStudio for R Statistical Computing
"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...
|
8. |  By: Winston Chang Publisher: O'Reilly Media, Inc. Publication Date: 26-DEC-2012 Insert Date: 08-DEC-2012 Slots: 1.0 | Overview: R Graphics Cookbook R Graphics Cookbook serves as a practical guide to help you make graphs quickly, without having to spend time learning about all the details of the R graphing systems.
Author Winston Chang bases the book in part on his own website, R Cookbook. He also includes coverage of the ggplot2 package, a more powerful and flexible way to make graphs in R....
|
9. |  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 | Overview: A First Course in Statistical Programming with R
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...
|
10. |  Beginning R: An Introduction to Statistical Programming By: Larry Pace Publisher: Apress Publication Date: 17-OCT-2012 Insert Date: 26-OCT-2012 Slots: 1.0 | Overview: Beginning R: An Introduction to Statistical Programming
Beginning R: An Introduction to Statistical Programming is a hands-on book showing how to use the R language, write and save R scripts, build and import data files, and write your own custom statistical functions. R is a powerful open-source implementation of the statistical language S, which was developed by AT&T. R has eclipsed S and the commercially-available S-Plus language, and has become the de facto standard for doing, teaching, and learning computational statistics.
R is both an object-oriented language and a functional language that is easy to learn, easy to use, and completely...
|
11. | Rough Cuts  R for Non-Statisticians: Advanced Analytics and Graphics for Everyday Users By: Jared Lander Publisher: Addison-Wesley Professional Publication Date: 20-SEP-2013 Insert Date: 18-OCT-2012 | Overview: R for Non-Statisticians: Advanced Analytics and Graphics for Everyday Users This is the Rough Cut version of the printed book.
Using the free, open source R language,
scientists, financial analysts, public policy professionals and
programmers can build powerful statistical models capable of
answering many of their most challenging questions. But, for
non-statisticians, R can be difficult to learn - and most books on
the subject assume far too much knowledge to help them.
R for Non-Statisticians is the
solution. Drawing on his extensive experience teaching new users
through the NYC R User Group, professional statistician Jared
Lander has written the perfect R...
|
12. |  An Introduction to Bootstrap Methods with Applications to R By: Michael R. Chernick; Robert A. LaBudde Publisher: John Wiley & Sons Publication Date: 01-NOV-2011 Insert Date: 27-SEP-2012 Slots: 1.0 | Overview: An Introduction to Bootstrap Methods with Applications to R
A comprehensive introduction to bootstrap methods in the R programming environment
Bootstrap methods provide a powerful approach to statistical data analysis, as they have more general applications than standard parametric methods. An Introduction to Bootstrap Methods with Applications to R explores the practicality of this approach and successfully utilizes R to illustrate applications for the bootstrap and other resampling methods. This book provides a modern introduction to bootstrap methods for readers who do not have an extensive background in advanced mathematics. Emphasis...
|
13. |  By: Joseph Adler Publisher: O'Reilly Media, Inc. Publication Date: 11-OCT-2012 Insert Date: 27-SEP-2012 Slots: 1.0 | Overview: R in a Nutshell, 2nd Edition If you’re considering R for statistical computing and data visualization, this book provides a quick and practical guide to just about everything you can do with the open source R language and software environment. You’ll learn how to write R functions and use R packages to help you prepare, visualize, and analyze data....
|
14. |  By: Joris Meys; Andrie de Vries Publisher: For Dummies Publication Date: 03-JUL-2012 Insert Date: 14-JUL-2012 Slots: 1.0 | Overview: R For Dummies, 2nd Edition
Still trying to wrap your head around R?
With more than two million users, R is the open-source programming language standard for data analysis and statistical modeling. R is packed with powerful programming capabilities, but learning to use R in the real world can be overwhelming for even the most seasoned statisticians. This easy-to-follow guide explains how to use R for data processing and statistical analysis, and then, shows you how to present your data using compelling and informative graphics. You'll gain practical experience using R in a variety of settings and delve deeper into...
|
15. |  Beginning R: The Statistical Programming Language By: Mark Gardener Publisher: Wrox Publication Date: 05-JUN-2012 Insert Date: 13-JUL-2012 Slots: 1.0 | Overview: Beginning R: The Statistical Programming Language
Conquer the complexities of this open source statistical language
R is fast becoming the de facto standard for statistical computing and analysis in science, business, engineering, and related fields. This book examines this complex language using simple statistical examples, showing how R operates in a user-friendly context. Both students and workers in fields that require extensive statistical analysis will find this book helpful as they learn to use R for simple summary statistics, hypothesis testing, creating graphs, regression, and much more. It covers formula notation, complex...
|
16. |  By: Joseph Adler Publisher: O'Reilly Verlag Publication Date: 31-DEC-2010 Insert Date: 17-MAY-2012 Slots: 1.0 | Overview: R in a Nutshell Wozu sollte man R lernen? Da gibt es viele Gründe: Weil es sich gerade zum Goldstandard für die Lösung statistischer Probleme und die Entwicklung eigener Analyseprogramme mausert. Weil man damit natürlich mehr Werkzeuge an der Hand hat als mit einer Tabellenkalkulation wie Excel, aber auch mehr Spielraum als mit gängiger Statistiksoftware wie SPSS und SAS. Anders als bei diesen hat man nämlich neben den fertigen Analyse- und Visualisierungsmethoden auch eine komplette Programmiersprache zur Verfügung, mit der sich eigene Algorithmen entwickeln lassen. Außerdem ist R Open Source und erobert...
|
17. |  By: Robert Kabacoff Publisher: Manning Publications Publication Date: 24-AUG-2011 Insert Date: 30-DEC-2011 Slots: 1.0 | Overview: R in Action
Summary
R in Action is the first book to present both the R
system and the use cases that make it such a compelling package for
business developers. The book begins by introducing the R language,
including the development environment. Focusing on practical
solutions, the book also offers a crash course in practical
statistics and covers elegant methods for dealing with messy and
incomplete data using features of R.
About the Technology
R is a powerful language for statistical computing and graphics
that can handle virtually any data-crunching task. It runs on all
important platforms...
|
18. |  Mathematical Statistics with Resampling and R By: Laura Chihara; Tim Hesterberg Publisher: John Wiley & Sons Publication Date: 06-SEP-2011 Insert Date: 25-NOV-2011 Slots: 1.0 | Overview: Mathematical Statistics with Resampling and R
This book bridges the latest software applications with the benefits of modern resampling techniques
Resampling helps students understand the meaning of sampling distributions, sampling variability, P-values, hypothesis tests, and confidence intervals. This groundbreaking book shows how to apply modern resampling techniques to mathematical statistics. Extensively class-tested to ensure an accessible presentation, Mathematical Statistics with Resampling and R utilizes the powerful and flexible computer language R to underscore the significance and benefits of modern resampling...
|
19. |  By: Q. Ethan McCallum; Stephen Weston Publisher: O'Reilly Media, Inc. Publication Date: 26-OCT-2011 Insert Date: 28-OCT-2011 Slots: 1.0 | Overview: Parallel R R is a wonderful thing, indeed: in recent years this free, open-source product has become a popular toolkit for statistical analysis and programming. Two of R's limitations -- that it is single-threaded and memory-bound -- become especially troublesome in the current era of large-scale data analysis. It's possible to break past these boundaries by putting R on the parallel path. Parallel R will describe how to give R parallel muscle. Coverage will include stalwarts such as snow and multicore, and also newer techniques such as Hadoop and Amazon's cloud computing platform....
|
20. |  By: Norman Matloff Publisher: No Starch Press Publication Date: 05-OCT-2011 Insert Date: 29-SEP-2011 Slots: 1.0 | Overview: The Art of R Programming R is the world's most popular language for developing statistical software: Archaeologists use it to track the spread of ancient civilizations, drug companies use it to discover which medications are safe and effective, and actuaries use it to assess financial risks and keep economies running smoothly....
|
©2013 Safari Books Online