Writing Workflow and Reproducible Data Analysis
I’ve been writing about my writing workflow before. Since some aspects of it are related to reproducible research and especially reproducible data analysis, I have collected some material and tips in a presentation I gave last week on my Github:
One aspect that I did not yet mention there, is how I approach this on my Mac. This depends a little bit on what type of text I’m writing. Data analysis is usually done within RStudio. It has very good functionality for generating PDFs and the like, but I still prefer my own Makefile and knitr/Pandoc combination.
Less technical texts are usually writing using iAWriter, but sometimes also in Sublime Text. iAWriter by default has support for Markdown, Sublime Text can be configured with a very good Markdown plugin. I use Marked for previewing, proof-reading, etc.