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Learn everything you need to know about the R programming language and discover why it is the most widely used language in data science
- R: Documentation
Browsable HTML versions of the manuals, help pages and NEWS for the developing versions of R “ R-patched ” and “ R-devel ”, updated daily CRAN has a growing list of contributed documentation in a variety of languages
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R is an interpreted programming language widely used for statistical computing, data analysis and visualization R language is open-source with large community support
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R is ‘GNU S’, a freely available language and environment for statistical computing and graphics which provides a wide variety of statistical and graphical techniques: linear and nonlinear modelling, statistical tests, time series analysis, classification, clustering, etc
- R Tutorial - W3Schools
R is a programming language R is often used for statistical computing and graphical presentation to analyze and visualize data With our "Try it Yourself" editor, you can edit R code and view the result How to output some text, and how to do a simple calculation in R: "Hello World!" Result: [1] "Hello World!"
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This course is a set of tutorials sorted by category in which you will learn all the basics (and some more advanced content) to handle the R programming language
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R is not just a programming language, but it is also an interactive ecosystem including a runtime, libraries, development environments, and extensions All these features help you think about problems as a data scientist, while supporting fluent interaction between your brain and the computer
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