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This is especially common with Unix-based systems (Linux and Mac). Sometimes external package dependencies must be installed manually (i.e. not using install.packages()). 2īeyond the \(32\) vs \(64\) bit issue (covered in the next chapter) and process forking (covered in Chapter 7), another OS-related issue to consider is external dependencies: programs that R packages depend on. Minor differences aside, R’s computational efficiency is broadly the same across different operating systems. However, to help remember the key messages buried within the detail of this book, each chapter from now on contains a ‘top 5 tips’ section, after the pre-requisites.Ģ.2.1 Operating system and resource monitoring Netdrive remove speed limitation series#BLAS and alternative R interpreters: looks at ways to make R fasterĮfficient programming is more than a series of tips: there is no substitute for in-depth understanding.RStudio: an integrated development environment (IDE) to boost your programming productivity.R start-up: how and why to adjust your. Netdrive remove speed limitation how to#
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