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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