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R is a language and environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues.
R is an open-source programming language designed for data science and statistics. It’s a powerful tool for working with data, and its documentation and supportive community offer helpful resources for new programmers.
The help() function and ? help operator in R provide access to the documentation pages for R functions, data sets, and other objects, both for packages in the standard R distribution and for contributed packages.
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.
Operators in R. Learn how to use arithmetic and logical operators in R. These binary operators work on vectors, matrices, and scalars. Updated Mar 2024 · 4 min read. Operators. R's binary and logical operators will look very familiar to programmers. Note that binary operators work on vectors and matrices as well as scalars. Arithmetic Operators.
Dove-tailed with this, reading source-code whenever possible is useful. In R-studio, you can use CTRL + LEFT CLICK on code that is in the editor to pull up its source code, or you can just visit rdrr.io . I think that doing the above will help 80-90% of beginner to intermediate R-users to vastly improve their R fluency.
If you prefer an online interactive environment to learn R, this free R tutorial by DataCamp is a great way to get started. An introduction to R. This page discusses R installation, RStudio, operators, data types, creating variables, importing data, functions, and installing packages.
