Workflow

Using renv is an excellent choice for maintaining a clean and reproducible R environment on macOS. Here, I will share my experiences and provide a guide on setting up R on macOS. The post is divided into the following sections: Installing system dependencies required for R libraries using Homebrew. Installing R libraries using renv. Saving and restoring R environments using renv. Installing R libraries hosted on private repositories. Building R libraries from source using Makevars....

If you are facing difficulties with large data sets in R, using data.table could provide a performance boost. However, when loading data.table, especially on macOS, you might encounter a warning indicating the absence of OpenMP support, causing data.table to operate in a single-threaded mode. This limitation prevents you from fully utilizing the potential benefits of using data.table and taking advantage of the underlying hardware. 1library(data.table) 2data.table 1.14.0 using 1 threads (see ?...