simonschoe / dynamic-programming-with-rmarkdown

This lecture is part of the "Machine Learning in R" graduate course held at University of Münster, School of Business and Economics (winter term 2021/22). :mortar_board:

Home Page:https://simonschoe.github.io/dynamic-programming-with-rmarkdown/

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Dynamic Documents with Rmarkdown

This lecture is part of the "Machine Learning in R" graduate course held at University of Münster, School of Business and Economics (winter term 2021/22). 🎓

Slides: https://simonschoe.github.io/dynamic-programming-with-rmarkdown/

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Agenda

1 The Story So Far: R Scripts

2 R Markdown Documents

2.1 The YAML Header
2.2 The Text Body
2.3 Code Chunks & Output
2.4 Generating High-Quality Reports

3 Interactive Data Science in R

3.1 Introduction to Computational Notebooks
3.2 R Markdown Documents vs. R Notebooks

About

This lecture is part of the "Machine Learning in R" graduate course held at University of Münster, School of Business and Economics (winter term 2021/22). :mortar_board:

https://simonschoe.github.io/dynamic-programming-with-rmarkdown/


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Language:HTML 98.7%Language:R 0.5%Language:JavaScript 0.4%Language:CSS 0.4%