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R programming is a programming language and also a free software environment initially used for statistic calculation as well as for graphics. It is extensively used by statisticians and data miners for data analysis tools and software. It is very easy to learn R programming but you have to learn mathematics and machine learning, these are the most important parts of R programming.
R Programming course
R programming is a large-scale catalog of statistical and graphical methods. It contains machine learning algorithms, linear regression, time series, and statistical inference to name a few.
R is a free software environment for statistical calculation and graphics helped by R Programming for Statistical Calculation. The R language is used hugely among statisticians and data miners for developing statistical software and data analysis.
R programming is easily adaptable through functions and addition, Another strength of R is static graphics, which can produce publication-quality graphs, including mathematical symbols. Dynamic and associative graphics are available through supported packages. R programming has a stronger OOP provision than most statistical calculation languages. Extending R is also eased by its lexical scoping rules.
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