Statistical programming language R has climbed back up to ... The top 10 in descending order are C, Java, Python, C++, C#, Visual Basic, JavaScript, R, PHP and Swift.

Searching and sorting vectors are two of the most fundamental operations in R (vectors correspond to arrays in other programming languages). In this article I'll explain how to search and sort vectors ...

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 ...

Python is the top choice for data science due to its ease and powerful libraries.R and SQL are key for stats, visualization, ...

Visual Basic: Microsoft's Visual Basic ... and sometimes exposing users to security vulnerabilities. R: This is the programming language of choice for statisticians and anybody doing data analysis.

But SAS is no match for the open-source language that pioneering data scientists use in academia, which is simply known as R. The R programming language leans more frequently to the cutting edge ...

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 ...

Choosing the right programming language to study from among ... Behind the other usual suspects (C++, C#, Visual Basic, JavaScript and PHP), R and Groovy were among the fastest risers in a clutch ...