Sensing a growing interest in big data-style analysis, software provider Revolution Analytics has updated its flagship package of R statistical functions so it can be run with the Hadoop data ...

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 ...

D uring my undergraduate days as a statistics student, I tried various data analysis tools to find the ideal one. I started ...

R still has its place and has advantages for those doing data analysis. Hoping to settle the perennial R versus Python debate, University of California, Davis, professor of computer science Norm ...

This online data science specialization is designed for anyone interested in learning how to program in R. You will learn the basics of R, including imputing data, performing basic analysis, graphing, ...

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 ...

That lets you re-use your analysis work on similar data more easily than if you were ... Cook in a Web post about R programming for those coming from other languages. “The language is actually ...

So, as it stands, R is primarily used for statistical inference, data analysis, and machine learning algorithms. Read: Difference between Low-level and High-level Programming languages.