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Easy-to-use collection of statistical methods and techniques, all written in R πŸ—‚

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R-Stats

πŸ“– About

This repository comes as a rearrangement of all the work done during my MSc in Mathematical Engineering @ Politecnico di Milano. The purpose of the repository is to put at reach an easy-to-use collection of statistical methods and techniques. Out of scope, on the other hand, is to address all the problems that these methods and techniques may encounter in a real-world data contest. In fact, all the datasets used are toy datasets, used only to introduce an application.

All the code is written in R.
A python correspondent will also exist in the future.

Mainly, the collection is divided into two sections:

  • Standard Statistics - parametric statistics, classical approaches with, often, strong assumptions on data
  • Nonparametric Statistics - modern approaches, free from heavy assumptions on data

I uploaded the files in .r (script version, easy to download and use directly with a custom dataset), in .rmd and in .html (for visualization purposes). Since GitHub does not provide a preview for .rmd (nor .html), I made use of an extension that allows the viewing of .html.

πŸ“ Content

The files are viewable (code chuncks, outputs and plots) at the links below.

πŸ“ˆ Standard Statistics

πŸ“Š Nonparametric Statistics

If any code is not working, or if any dataset is missing let me know.

πŸ”œ Future developments

As a python fan, I plan to "translate" the work into python language (where I know that, with the right libraries it will take much less lines of code πŸ˜‰). In addition, it would also be interesting to push beyond toy datasets and try some real-world applications.