In this introduction tutorial you will learn R Communicate: Integrate codes, graphs, and outputs to a report with R Markdown or build Shiny apps to share with the world.Model: R provides a wide array of tools to capture the right model for your data.Discover: Investigate the data, refine your hypothesis and analyze them.Transform: R is made up of a collection of libraries designed specifically for data science.Program: R is a clear and accessible programming tool.R is not only entrusted by academic, but many large companies also use R programming language, including Uber, Google, Airbnb, Facebook and so on.ĭata analysis with R is done in a series of steps programming, transforming, discovering, modeling and communicate the results Most of the R libraries are written in R, but for heavy computational tasks, C, C++ and Fortran codes are preferred. It includes machine learning algorithms, linear regression, time series, statistical inference to name a few. R possesses an extensive catalog of statistical and graphical methods. R is a programming language and free software developed by Ross Ihaka and Robert Gentleman in 1993.
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