You may not think of R when you’re looking for a GIS platform, but new packages and standards have helped make the R programming language a surprisingly robust platform for some geospatial analysis.

R is a programming language and software environment primarily used for statistical computing and data analysis. It is widely recognized for its powerful data manipulation capabilities, ...

Are you learning the R programming language? Do you want to learn how to do more tasks with R? Check out our Do More With R tutorials below — many with videos shorter than 10 minutes.

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 ...

The basic principle of R emanates from programming languages built in the 1960s, Peng says. “In that sense, it’s kind of an old technology in the way it was originally designed.” ...

C remains the top programming language, according to the August index from software QA automation company TIOBE. But the spotlight for up-and-coming language remains focused on R, which continues ...

The R programming language is quickly gaining popular ground against the traditional statistics packages such as SPSS, SAS and MATLAB, at least according to one data statistician who teaches the ...

The R programming language leans more frequently to the cutting edge of data science, giving businesses the latest data analysis tools. The problem: With loose standards and scores of diverse ...

Statistical programming language R has climbed back up to 8th place in Tiobe's latest programming language popularity index, just behind JavaScript and up from 20th position last July. In May ...

The R language is most commonly used for data analysis tools and statistical apps. According to Google, the rise of cloud computing has opened up new opportunities for R.