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R is a programming language and free software environment for statistical computing and graphics that is supported by the R Foundation for Statistical Computing.Some student finds difficulty and complication in understanding the particular software. So the R assignment help is here to overcome every minute difficulty, and bring best of all. For developing statistical software and data analysis, the R language is used by statisticians and data miners.R is a GNU package. For the R software environment the source code is written primarily in C, FORTRAN, and R.One can easily find R under the GNU General Public License for free, and pre-compiled binary versions are provided for various operating systems. There are several graphical front-ends available as R has a command line interface.

The R assignment help deals with certain fringe benefits and downfalls of the R software and put forward a better way to understand the topic in brief.

### Advantages

• The first and most important benefit of R is that it is the most comprehensive statistical analysis package available.While providing a comprehensive language for managing and manipulating data, it also incorporates all of the standard statistical tests, models, and analyses, as well as

• On a competent community of computational statisticians, R is reflected to the fullest.

• With copyright by The R Foundation for Statistical Computing, the R is licensed under the GNU General Public License. R is free and open source software,

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

• Anyone is welcome to provide code enhancements, and new packages, and the wealth of quality packages available for R is a testament to this approach to software development and sharing.

• R is cross-platform. R runs on many operating systems and different hardware. The most popular use of R is made by the windows running on both 32 and 64 bit processors such as on GNU/Linux, Macintosh, and Microsoft Windows.

• R has active user groups where questions can be asked and are often quickly responded to, often by the very people who developed the environment, this support is second to none.

### Disadvantages

• R has a steep learning curve it does take a while to get used to the power of R, but no steeper than for other statistical languages.

• R is not so trouble free to use for the novice. For R there are various simple ways to use graphical user interfaces (GUIs) that encompass point and-click interactions, but they generally do not have the polish of the commercial offerings.

• For the non-statisticians, documentation is sometimes patchy, terse, and impenetrable.

• There is, in general, no one to complain to if something doesn’t work. Many people freely devote their own time in developing the R software application.

So the R assignment help provides a deep and clear view of the R software and briefs the user about its necessities and drawbacks. With the assistance of the R assignment help one can easily handle and understand the R software.

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