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 table below shows my favorite go-to R packages for data import, wrangling, visualization and analysis — plus a few miscellaneous tasks tossed in. The package names in the table are clickable if ...

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. In the table ...

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, ...

Programming has become essential for looking at large datasets, and the R language is particularly useful for statistical analysis. With the R Programming Language Compiler app, you can now test and ...

The R programming language is a widely used, free statistical software. Users can create packages, which are units of reproducible code and share those publicly. UNHCR has created the refugees R ...

Do you need to add LLM capabilities to your R scripts and applications? Here are three tools you'll want to know. When we first looked at this space in late 2023, many generative AI R packages focused ...

This story contains interviews with David Smith, chief community officer at Revolution Analytics; Casey Herron, data scientist at Revolution Analytics; Tess Nesbitt, director of analytics at DataSong; ...

This paper reviews some programming techniques in R that have proved useful, particularly for substantial projects. These include several versions of object-oriented programming, used in a large ...