Learn how to merge data in R 3 ways: base R, dplyr, and data.table and never forget syntax to pivot wider and pivot longer. If you’re a tidyverse user, there’s plenty here on tidyr and dplyr.

Course Objectives: To learn practical issues in statistical computing which includes programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and ...

For those who might be wondering, the programming language was created by Ross Ihaka and Robert Gentleman in 1993. Furthermore, note that most of the R libraries are written using R, but for ...

Toolbox Published: 29 December 2014 Programming tools: Adventures with R Sylvia Tippmann Nature 517, 109–110 (2015) Cite this article ...

The R programming language is an important tool for development in the numeric analysis and machine learning spaces. With machines becoming more important as data generators, the popularity of the ...

From Python and Java to C++, R and Lisp, these languages offer powerful capabilities for working with machine learning algorithms to build AI apps.

To call Smith an R enthusiast is an understatement. He is a co-author of the programming manual An Introduction to R that comes with the open source R distribution.

Regardless of the reasons, R is still on track to become TIOBE’s programming language of 2020, an accolade bestowed to the language that earns the highest rise in ratings over the course of a year.

Cons R may not be as suitable for general-purpose programming beyond statistical computing. It may not have the same level of industry-wide adoption as other languages.