Computational statistics with r

What is statistical techniques with R?
R provides a wide variety of statistics and graphical techniques which includes both linear and non-linear models, time series analysis, classification analysis, clustering, forecasting, classical test and many more.
Now a days R has become data mining tool as it is used by many data miners.
R has only static graphics..
Why is R best for statistical analysis?
R offers a wide variety of statistics-related libraries and provides a favorable environment for statistical computing and design.
In addition, the R programming language gets used by many quantitative analysts as a programming tool since it's useful for data importing and cleaning..

R has superb graphical outlays and the book brings out the essentials in this arena. The end user can benefit immensely by applying the graphics to enhance research findings. The core statistical methodologies such as regression, survival analysis, and discrete data are all covered.

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Computational statistics with r

What is statistical techniques with R?

Why is R best for statistical analysis?