Reproducible Research: Principles and Tools

In courses (3)

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Description

This lecture introduces the principles and tools for reproducible research in biostatistics, emphasizing the importance of documenting the complete software environment and instructions used to generate figures. It covers steps leading to a report, problems with traditional approaches, literate programming, and good and bad practices in research practice. The instructor discusses barriers to reproducible research, tools in R for reproducible research, and the use of text editors for compiling source documents.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_5za5yjdm

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Ontological neighbourhood

Theoretical computer science

Programming language theory: High-level programming languages

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