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Linking text, results, and analyses: Increasing transparency and efficiency

[This article was first published on Jeromy Anglim's Blog: Psychology and Statistics, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
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I have recently been thinking about the relationship between text in a final report and data analysis. The broader concern is with making the conduct and reporting of statistical analyses more transparent. I am inspired by the ideas of literate programming, Sweave, and open access to data.

Something to aspire to:

While the aspirations transcend R, I like the prospect of having analyses in R integrated with a final report. The inclusion of tables and figures , at least conceptually is a straightforward idea. However, the inclusion of text in a results section is a little fuzzier. Surely, text in a results section (I’ll call it “results text” for short) varies in how it relates to actual analyses. Thus, I had the following questions: 1) What is the unit of results text? 2) How does results text vary and what should be automatically supplied by R?; 3) For results text that should not be supplied by R, how should it be integrated into an analysis process?

Initial thoughts: After a little reflection I had the following thoughts:

Implications for integrating statistical analyses (and R in particular) with report writing: 
Final comments:
I plan to write more at a later point on how this integration could be achieved.
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