1
Overview of these modules
2
Experimental Data Recording
3
Experimental Data Pre-processing
Module 3
Experimental Data Pre-processing
This section includes modules on:
Module 3.1: Principles of pre-processing experimental data
Module 3.2: Selecting software options for pre-processing
Module 3.3: Introduction to scripted data pre-processing in R
Module 3.4: Tips for improving reproducibility when writing R scripts
Module 3.5: Simplify scripted pre-processing through R’s ‘tidyverse’ tools
Module 3.6: Complex data types in experimental data pre-processing
Module 3.7: Introduction to reproducible data pre-processing protocols
Module 3.8: RMarkdown for creating reproducible data pre-processing protocols
Module 3.9: Example: Creating a reproducible data pre-processing protocol
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