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Showing posts with label Statistical Analysis. Show all posts
Showing posts with label Statistical Analysis. Show all posts

Saturday 21 July 2018

R tutorial - Introduction to R Programming

This R tutorial is designed for beginners who know the basics of programming and want to learn R programming.

R is an open-source programming language utilized for machine learning, factual examination, designs portrayal and detailing. R is unreservedly accessible under GNU General Public License. To learn R programming you ought to have an essential comprehension of any programming language.

The centre of R is an interpreted programming language that is the reason it doesn't require any compiler to run the code. R permits joining with the methodology written in the C, C++, .Net, Python or FORTRAN languages for effectiveness.

R was developed by Ross Ihaka and Robert Gentleman in Auckland in 1993 and supported by a group of programmers. R is the most used programming language for data analysis and statistical purposes. Like other programming languages, R supports conditional statements, looping, recursion and numerous different highlights like information representation, data visualization.

R supports number-crunching, object-oriented programming, procedural programming with functions, and has an extensive arrangement of administrators for taking care of Arrays and grids.

To start learning R programming, first of all, get R GUI Software that compiles and runs the R language.