It can be loaded into the core R software.This quote clearly reflects the increasing importance and popularity of R-packages.īecause it is a community-based software, the development of R-packages should follow a specific structure and guidelines to ensure that: It is constantly growing, with new versions of the core software released regularly and more than 5,000 packages available”. In his book “Advanced R”.Hadley Wickham wrote “R is now widely used in academic research, education, and industry. A previous knowledge on R programming is required, but you will not need to deal with technical aspects of the creation process because the R-Package structure is shared at the end. In this blog, I explain how to create a basic R-package which can be used as template for anyone interested in making a contribution. However, creating your first R-package can be a complex task for non-experienced users. In essence, R-packages are extensions that contain source-code, documentation, data and examples of personal contributions and can be extremely useful for data scientists, statisticians and programmers alike who need to create custom analysis and visualizations. With its open character and ability to extend its functionality using external packages, R allows users to create their own packages that are easily loadable into the core instance. R is an open-source implementation of ‘S’, the statistical programming language.
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