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 ...

The choice of programming language is not a simple one, and in the end it may not even be the most important one either. As pointed out by Luiz Eduardo Le Masson, data science leader at Stone Co.: ...

If you’re considering moving to a role in statistical programming, now is the time to invest in your skills, expand your knowledge beyond SAS and embrace the power of R, Python, AI and ML.

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 ...

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.

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.

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 ...

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