The three most common open source technologies for writing data science programs are Python, SciLab, and R. Here's how to write program-defined functions in R. There's no clear definition of the term ...

Reads an R script, identifying functions and their corresponding Roxygen comments. Extracts function names, titles, and descriptions. Handles discrepancies in the number of titles and descriptions.

First of all, we need to install tidyverse, here, skimr, dplyr and janitor packages in your Console. This is to be done by typing install.package("tidyverse") in your console, and similarly for the ...

Almost every R user knows about popular packages like dplyr and ggplot2. But with 10,000+ packages on CRAN and yet more on GitHub, it’s not always easy to unearth libraries with great R functions. One ...

Note the column name, mpg, is unquoted. That feature hasn’t been handy, though, if you want to write your own R functions using the tidyverse. That’s because base R functions usually need quoted ...

Abstract: This paper introduces the use of R-functions to compose (R-composition) basic simple Lyapunov functions, like the conventional quadratic ones, to obtain a larger variety of functions.