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/
1 The Story So Far: R Scripts
2 R Markdown Documents
2.1 The
YAMLHeader
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