R is a language and programming environment for statistical analysis and graphic. It is a project of free software , a result of the implementation GNU classic scientific language S-plus. R and S-plus are probably the two languages most commonly used in research by community statistics, is also very popular in the field of the biomedical research , the bioinformatics and the financial mathematics . This contributes to the possibility of charging different libraries or packages for specific purposes of calculation or graph. is available for the operating systems Windows , Macintosh , UNIX and GNU/Linux .R provides a wide range of statistical tools (models linear and non-linear , statistical tests , analysis of time series , algorithms of classification and clustering , etc.) and graphic. Like S-Plus, it's a programming language, allowing users to extend it by defining your own functions. In fact, most of the functions of R are written in the same R, although algorithms for computationally demanding is possible to develop libraries in C , C++ or Fortran that are loaded dynamically. Advanced users can also manipulate R objects directly from code developed in C. R also can spread through packages developed by its community of users.R is part of a collaborative and open project. Your users can publish packages that extend its basic configuration. Given the huge number of new packages, these have been organized in views (or themes) , which allow you to group them according to their nature and function. For example, there are groups of related packages with Bayesian statistics , Econometrics , time series , etc.R, like S plus, can be considered an object oriented programming language. In addition, R can be integrated with different databases and there are libraries that facilitate its use from programming languages interpreted as Perl and Python . R also has its own format for the documentation based on LaTeX .Another feature of R is its graphical capability, which allows you to generate high-quality graphics.R can also be used as a tool of numerical calculation , field in which it can be as effective as other specific tools such as GNU Octave and its commercial equivalent, MATLAB .
For Australians, Kokoda is the iconic battle of World War II, yet few people know the names of the men who fought on the track, or even the details of what happened. More Australians died in the months of fighting in Papua, than in any other Scientific Software R. Programming Language and Applications download epub campaign of World War II. Now bestselling author Peter FitzSimons tells the Kokoda story in a gripping, and moving, style for all Australians. Kokoda was a defining battle for Australia, where a small force of young, ill-equipped Australians engaged a highly experienced and hitherto unstoppable Japanese force on a narrow, precarious jungle track. Again and again, the outnumbered Australians risked everything to stop the Japanese from advancing along the track towards mainland Australia. Kokoda is a superb blend of authority and gripping storytelling history at its best.
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Author: Scientific Books
Number of Pages: 214 pages
Published Date: 21 Jun 2016
Publisher: Createspace Independent Publishing Platform
Publication Country: United States
Language: English
ISBN: 9781534798168
Download Link: Click Here
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