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.

Overview Python continues to dominate as the most popular coding language for AI development.Emerging AI development languages like Julia and R are gaining trac ...

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 ...

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

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 ...

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.

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.

For those who are learning R programming for the first time, here are a few resources that makes managing R-based results easier with a capital “E”. Graphic User Interfaces ...

Tiobe now places R in 21st position and suggests the language isn't benefiting as much as Python from the boom in data science and machine learning. Both languages have become popular among data ...