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  1. R is a popular programming language that allows people to adeptly handle mass amounts of data, generate publication-quality visualizations, and perform a range of statistical and analytic computing tasks. Used in fields including data science, finance, academia, and more, R is powerful, flexible, and extensible.

  2. R Quiz. Learn by taking a quiz! This quiz will give you a signal of how much you know about R. Take the R Quiz. Well organized and easy to understand Web building tutorials with lots of examples of how to use HTML, CSS, JavaScript, SQL, Python, PHP, Bootstrap, Java, XML and more.

  3. The infix operator %>% is not part of base R, but is in fact defined by the package magrittr ( CRAN) and is heavily used by dplyr ( CRAN ). It works like a pipe, hence the reference to Magritte's famous painting The Treachery of Images. What the function does is to pass the left hand side of the operator to the first argument of the right hand ...

  4. R is an official part of the Free Software Foundation’s GNU project, and the R Foundation has similar goals to other open source software foundations like the Apache Foundation or the GNOME Foundation. Among the goals of the R Foundation are the support of continued development of R, the exploration of new methodology, teaching and training ...

  5. And since R is a functional programming language, meaning that everything you do is basically built on functions, you can use the pipe operator to feed into just about any argument call. For example, we can pipe into a linear regression function and then get the summary of the regression parameters.

  6. 25 de nov. de 2014 · 2. %>% is the pipe operator from magrittr, widely used in other Tidyverse and compatible packages. The basic way to understand it is it takes the left-hand side (LHS) and turns it into the first argument of the right-hand side (RHS). x %>% f(y) is special syntax that is essentially f(x,y).

  7. This book will teach you how to program in R, with hands-on examples. I wrote it for non-programmers to provide a friendly introduction to the R language. You’ll learn how to load data, assemble and disassemble data objects, navigate R’s environment system, write your own functions, and use all of R’s programming tools. Throughout the book, you’ll use your newfound skills to solve ...

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