Introduction to R

R is free software designed for statistical computing, graphics representation. It features calculation, graphing tools, reporting analytic data modeling and reporting.

The aim is to give you precise description and understanding how R is working and why it’s has so importance.

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Advantages

R allows you to manipulate, manage and analyze data helping assist in decision making and creating inefficiencies that will directly affect your bottom line. Whether you’re using it for business or to help manage personal database and expenses R gives you the right tools to enable you to accomplish all your needs.-

R is free and open source software, allowing anyone to use and, importantly, to modify it. R is licensed under the GNU General Public License, with copyright held by The R Foundation for Statistical Computing.

R is cross-platform. R runs on many operating systems and different hardware. It is popularly used on GNU/Linux, Macintosh, and Microsoft Windows and Window Azure /Cloud Computing for analytic, running on both 32 and 64 bit processors.

R is the most comprehensive statistical analysis package available. It incorporates all of the standard statistical tests, models, and analyses, as well as providing a comprehensive language for managing and manipulating data.

 R is a programming language and environment developed for statistical analysis by practicing statisticians and researchers. It reflects well on a very competent community of computational statisticians. ˆ

R has no license restrictions (other than ensuring our freedom to use it at our own discretion), and so we can run it anywhere and at any time, and even sell it under the conditions of the license.ˆ

R plays well with many other tools, importing data, for example, from CSV , SAS, and SPSS, or directly from Microsoft Excel, Microsoft Access, Oracle, MySQL, and SQLite. It can also produce graphics output in PDF, JPG, PNG, and SVG formats, and table output for LATEX and HTML.

R be used for?

R  is a very versatile tool and can be used for almost anything that you can imagine:

·         Agendas

·         Budgets

·         Calendars

·         Charts and Diagrams

·         Financial Tools Analytic/Prediction (Loan lending prediction for customer  etc.)

·         Data Analytic

·         Predictions

·         Reports

·         Cloud Computing and many more…..

Few Frequently used commands with meaning

·         str() Compactly display the internal structure of an R object.

·         names() Names of elements within an object

·         class() Retrieves the internal class of an object

·         mode() Get or set the type or storage mode of an object.

·         length() Retrieve or set the dimension of an object.

·         dim() Retrieve or set the dimension of an object.

·         sessionInfo() Print version information about R and attached or loaded packages.

·         options() Allow users to set and examine a variety of global options which affect the way in which R computes and displays its results.