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2011-03-17
大家好,推荐分享Rmetrics 的三本Ebook


  • tinn-R Editor
José Cláudio Faria, Philippe Grosjean, Enio Galinkin Jelihovschi and Ricardo Pietrobon
Rmetrics eBooks 2010
Rmetrics Publishing, Zurich
216 pages
ISBN:


About this Book:It is a pleasure to introduce the firstbook in the R/Rmetrics series not authored by the Rmetrics team.This book, by José Cláudio Faria, Philippe Grosjean, Enio Galinkin Jelihovschi and Ricardo Pietrobon, describes the tinn-R editor, a very powerful code editor for R. Tinn-R is the ultimate editor for R users onWindows. The functionality of Tinn-R goes far beyond that of a simple text editor; it allows you to define projects, highlight important syntax elements, and send R code to the console. Using Tinn-R allows you to be much more productive when working with R.
The book is divided into four parts: Overview, Basics,WorkingWith, and Menu Description. It not only provides a very readable introduction to Tinn-R, but also serves as a valuable reference.



  • R/Rmetrics Workshop Singapore 2010
Diethelm Würtz, Mahendra Mehta, David Scott, Juri Hinz
Rmetrics eBooks 2010

About this Book:This eBook publishes the abstracts and most of the presentations given at the R/Rmetrics Workshop on "Topics in Computational Finance" at National University of Singapore in February 2010.



  • A Discussion of Time Series Objects for R in Finance
About this Book
Are you working with R and Rmetrics in the field of finance? Then you will usually use either xts/zoo or timeSeries/timeDate as your preferred time series package of functions and methods to create and manage financial time series objects.
Often you may have asked yourself how certain functions in one time series package compare to their counterparts in the other package. Does a given function from one package have an equivalent one in the other packages and if yes, what are the specific differences. In which sense do functions behave differently when you work with the xts/zoo package or with the timeSeries/timeDate package.
This ebook tries to answer any questions you might have about these issues. For each question you will find an answer together with a generic example. In some cases, the answers are still incomplete, or even missing. In other cases, we not yet found a typical example. We are counting on your support to keep this FAQ up-to-date. We would also very much appreciate it if users and developers of the packages under discussion would send us further FAQs together with the answer, for inclusion in this ebook.




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Rmetrics-tinnr.pdf

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全部回复
2011-3-17 00:25:52
在哪呢          看不到啊
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2011-3-17 00:32:54
等等,批量上传有问题.
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2011-3-17 03:24:32
楼主,多谢,请问这个系列的其他书,您有吗???
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2011-3-17 05:48:41
没有,网上也找不到。
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2011-3-17 20:16:28
Very good reference for R!!
Thanks for your sharing!!
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