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.

The Data Science Lab Program-Defined Functions in R The three most common open source technologies for writing data science programs are Python, SciLab, and R. Here's how to write program-defined ...

For example: dplyr:: filter (mtcars, mpg > 30) 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.

You must be cautious when using the R round function because, unlike the rounding function in every other language I'm aware of, the R round function uses IEEE 754-2008 "round ties to even," For ...

While R does have for, while, and repeat loops, you’ll more likely see operations applied to a data collection using apply () functions or the purrr tidyverse package. But first, some basics.

See how to query documents using natural language, LLMs, and R—including dplyr-like filtering on metadata. Plus, learn how to use an LLM to extract structured data for text filtering.

The package snow (an acronym for Simple Network Of Workstations) provides a high-level interface for using a workstation cluster for parallel computations in R. snow Simplified is an adaptation of an ...