R is a free software environment for statistical computing and graphics. It compiles and runs on a wide variety of UNIX platforms, Windows and MacOS.

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.

Loads specified data sets, or list the available data sets.

R is a programming language for statistical computing and data visualization. It has been adopted in the fields of data mining, bioinformatics and data analysis ...

r/data: ## A subreddit to discuss and share data and datasets. If you have questions on anything data related or have interesting datasets, tutorials…

Data Types. In programming, data type is an important concept. Variables can store data of different types, and different types can do different things.

R4DS teaches you how to do data science with R: You'll learn how to get your data into R, get it into the most useful structure, transform it, visualise it and ...

This book will teach you how to do data science with R: You'll learn how to get your data into R, get it into the most useful structure, transform it and ... 1 Data visualization · 3 Data transformation · 5 Data tidying · 7 Data import

R has a wide variety of data types including scalars, vectors (numerical, character, logical), matrices, data frames, and lists.

R's basic data types are character, numeric, integer, complex, and logical. R's basic data structures include the vector, list, matrix, data ...