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R Programming Language

This presentation educates about R-Programming Language, R steps, What is R used for?, Evolution of R, Features of R.<br><br>For more topics stay tuned with Learnbay

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R Programming Language

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  1. R Programming Language Swipe

  2. R Programming Language R is a programming language and free software developed by Ross Ihaka and Robert Gentleman in 1993. R possesses an extensive catalog of statistical and graphical methods. It includes machine learning algorithms, linear regression, time series, statistical inference to name a few. Most of the R libraries are written in R, but for heavy computational tasks, C, C++ and Fortran codes are preferred. R is not only entrusted by academic, but many large companies also use R programming language, including Uber, Google, Airbnb, Facebook and so on.

  3. R steps Data analysis with R is done in a series of steps; programming, transforming, discovering, modeling and communicate the results. Program: R is a clear and accessible programming tool Transform: R is made up of a collection of libraries designed specifically for data science Discover: Investigate the data, refine your hypothesis and analyze them Model: R provides a wide array of tools to capture the right model for your data Communicate: Integrate codes, graphs, and outputs to a report with R Markdown or build Shiny apps to share with the world

  4. What is R used for? Statistical inference Data analysis Machine learning algorithm

  5. Evolution of R R was initially written by Ross Ihaka and Robert Gentleman at the Department of Statistics of the University of Auckland in Auckland, New Zealand. R made its first appearance in 1993. A large group of individuals has contributed to R by sending code and bug reports. Since mid-1997 there has been a core group (the "R Core Team") who can modify the R source code archive.

  6. Features of R R is a well-developed, simple and effective programming language which includes conditionals, loops, user defined recursive functions and input and output facilities. R has an effective data handling and storage facility. R provides a suite of operators for calculations on arrays, lists, vectors and matrices. R provides a large, coherent and integrated collection of tools for data analysis. R provides graphical facilities for data analysis and display either directly at the computer or printing at the papers.

  7. Topics for next Post R - Basic Syntax R - Variables R - Operators Stay Tuned with

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