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SaiMukesh Reddy

3 years ago

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Answer posted by Anandam Lokesh

3 years ago

- R is a flexible and powerful open-source implementation of the language S (for statistics) developed by John Chambers and others at Bell Labs.

** Why R?**

Five reasons to learn and use R:

- R is open source and completely free. R community members regularly contribute packages to increase R's functionality.
- R is as good as commercially available statistical packages like SPSS, SAS, and Minitab.
- R has extensive statistical and graphing capabilities. R provides hundreds of built-in statistical functions as well as its own built-in programming language.
- R is used in teaching and performing computational statistics. It is the language of choice for many academics who teach computational statistics.
- Getting help from the R user community is easy. There are readily available online tutorials, data sets, and discussion forums about R.

** R uses: **

- R combines aspects of functional and object-oriented programming.
- R can use in interactive mode
- It is an interpreted language rather than a compiled one.
- Finding and fixing mistakes is typically much easier in R than in many other languages.

** R Features:-**

- Programming language for graphics and statistical computations
- Available freely under the GNU public license
- Used in data mining and statistical analysis
- Included time series analysis, linear and nonlinear modeling among others
- Very active community and package contributions
- Very little programming language knowledge necessary

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What is R Programming? What are the features of R?

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What is R Programming? What are the features of R?

- R is a flexible and powerful open-source implementation of the language S (for statistics) developed by John Chambers and others at Bell Labs.

** Why R?**

Five reasons to learn and use R:

- R is open source and completely free. R community members regularly contribute packages to increase R's functionality.
- R is as good as commercially available statistical packages like SPSS, SAS, and Minitab.
- R has extensive statistical and graphing capabilities. R provides hundreds of built-in statistical functions as well as its own built-in programming language.
- R is used in teaching and performing computational statistics. It is the language of choice for many academics who teach computational statistics.
- Getting help from the R user community is easy. There are readily available online tutorials, data sets, and discussion forums about R.

** R uses: **

- R combines aspects of functional and object-oriented programming.
- R can use in interactive mode
- It is an interpreted language rather than a compiled one.
- Finding and fixing mistakes is typically much easier in R than in many other languages.

** R Features:-**

- Programming language for graphics and statistical computations
- Available freely under the GNU public license
- Used in data mining and statistical analysis
- Included time series analysis, linear and nonlinear modeling among others
- Very active community and package contributions
- Very little programming language knowledge necessary

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