Ruby On Rails is an open source programming language and software environment for statistical computing and graphics that is supported by the R Foundation for Statistical Computing. The R language is widely used among statisticians and data miners for developing statistical software and data analysis.Polls, surveys of data miners, and studies of scholarly literature databases show that R's popularity has increased substantially in recent years. R and its libraries implement a wide variety of statistical and graphical techniques, including linear and nonlinear modeling, classical statistical tests, time-series analysis, classification, clustering, and others. R is easily extensible through functions and extensions, and the R community is noted for its active contributions in terms of packages. Many of R's standard functions are written in R itself, which makes it easy for users to follow the algorithmic choices made. For computationally intensive tasks, C, C++, and Fortran code can be linked and called at run time. Advanced users can write C, C++, Java, .NET or Python code to manipulate R objects directly. R is highly extensible through the use of user-submitted packages for specific functions or specific areas of study. Due to its S heritage, R has stronger object-oriented programming facilities than most statistical computing languages. Extending R is also eased by its lexical scoping rules. Another strength of R is static graphics, which can produce publication-quality graphs, including mathematical symbols. Dynamic and interactive graphics are available through additional packages.
One of the big advantages of Ruby On Rails language is that it is connected to many databases such as SQL and ORACLE. It is very helpful in developing Database driven web applications. Thus hiring a Ruby On Rails dedicated developer can help you have the best database driven website.
Ruby On Rails decreases time of website development to about 30-40%. Sites that normally take 12 weeks to built can be launched within 6 weeks with R Programmin The key factors like leaner code-base (fewer lines of redundant code), a modular design (re-using existing components rather than building everything from scratch), and the availability of existing plugins saves the development time.
Since the whole development process and code updates are performed faster, you have to spend less money to create and maintain the website without compromising the quality and performance of your site.
It is easy to modify the existing code or to add new features to the site by using R Programmin. This framework is most effective for long-term projects due to its capability and uniformity, so replacing the team member will never be a problem.
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