Seamless R And C Integration With Rcpp (use R!)

Seamless R and C++ Integration with Rcpp (repost)  

Posted by interes at June 3, 2014
Seamless R and C++ Integration with Rcpp (repost)

Seamless R and C++ Integration with Rcpp (Use R!) by Dirk Eddelbuettel
English | 2013 | ISBN-10: 1461468671 | 220 pages | PDF | 3,4 MB

Rcpp is the glue that binds the power and versatility of R with the speed and efficiency of C++. With Rcpp, the transfer of data between R and C++ is nearly seamless, and high-performance statistical computing is finally accessible to most R users. Rcpp should be part of every statistician's toolbox. – Michael Braun, MIT Sloan School of Management

Seamless R and C++ Integration with Rcpp [Repost]  

Posted by ChrisRedfield at June 25, 2014
Seamless R and C++ Integration with Rcpp [Repost]

Dirk Eddelbuettel - Seamless R and C++ Integration with Rcpp
Published: 2013-06-04 | ISBN: 1461468671 | PDF | 220 pages | 3 MB

Seamless R and C++ Integration with Rcpp [Repost]  

Posted by ChrisRedfield at Aug. 22, 2013
Seamless R and C++ Integration with Rcpp [Repost]

Dirk Eddelbuettel - Seamless R and C++ Integration with Rcpp
Published: 2013-06-04 | ISBN: 1461468671 | PDF | 220 pages | 3 MB

Seamless R and C++ Integration with Rcpp  

Posted by arundhati at July 2, 2013
Seamless R and C++ Integration with Rcpp

Dirk Eddelbuettel, "Seamless R and C++ Integration with Rcpp"
2013 | ISBN-10: 1461468671 | 220 pages | PDF | 3,4 MB
Competing Risks and Multistate Models with R (Use R!) (repost)

Competing Risks and Multistate Models with R (Use R!) by Jan Beyersmann, Arthur Allignol and Martin Schumacher
English | ISBN: 1461420342 | 2011 | PDF | 249 pages | 2 MB

This book covers competing risks and multistate models, sometimes summarized as event history analysis. These models generalize the analysis of time to a single event (survival analysis) to analysing the timing of distinct terminal events (competing risks) and possible intermediate events (multistate models). Both R and multistate methods are promoted with a focus on nonparametric methods.
Competing Risks and Multistate Models with R (Use R!)

Jan Beyersmann, "Competing Risks and Multistate Models with R (Use R!)"
ISBN: 1461420342 | 2011 | PDF | 249 pages | 4.6 MB

Data Science with R  eBooks & eLearning

Posted by FenixN at Nov. 20, 2016
Data Science with R

Data Science with R
HDRips | MP4/AVC, ~499 kb/s | 1280x720 | Duration: 15:14:52 | English: AAC, 128 kb/s (2 ch) | 3.53 GB
Genre: Development / Programming

Learn R and get comfortable with data science.
Udemy - Java Spring MVC Framework with AngularJS by Google and HTML5

Udemy - Java Spring MVC Framework with AngularJS by Google and HTML5
MP4 | AVC 693kbps | English | 1280x720 | 30fps | 13h 30mins | AAC stereo 61kbps | 3.03 GB
Genre: Video Training

Learn how to develop commercial web applications using Java Spring MVC Framework 4 wtih AngularJS by Google and HTML5. NEW udemy course related to the latest Java Spring MVC Framework 4 for developing WEB applications with popular and proven technologies such as AngularJS by Google and HTML5. (Lectures are divided in three main sections so you don't have to learn AngularJS Framework until you start the last section. The last section will teach you AngularJS by Google and the integration with Java Spring MVC Framework 4).
Korea in the New Asia: East Asian Integration and the China Factor by Francoise Nicolas [Repost]

Korea in the New Asia: East Asian Integration and the China Factor by Francoise Nicolas
English | 14 Jun. 2007 | ISBN: 0415420067 | 192 Pages | PDF | 1 MB

Since the late 1970s a number of regional developments have impacted upon South Korea’s political and economic standing in Asia. China’s spectacular growth and closer integration with its neighbouring economies, along with a tendency toward more assertive political and diplomatic activity, have deeply altered both the economic and political East Asian environment.
Using R for Numerical Analysis in Science and Engineering by Victor A. Bloomfield [Repost]

Using R for Numerical Analysis in Science and Engineering by Victor A. Bloomfield
English | 29 May 2014 | ISBN: 143988448X | 352 Pages | PDF | 5 MB

Instead of presenting the standard theoretical treatments that underlie the various numerical methods used by scientists and engineers, Using R for Numerical Analysis in Science and Engineering shows how to use R and its add-on packages to obtain numerical solutions to the complex mathematical problems commonly faced by scientists and engineers.