Managing a statistical analysis project – guidelines and best practices
Posted in R, statistics on September 30th, 2010 by Tal Galili – 18 CommentsIn the past two years, a growing community of R users (and statisticians in general) have been participating in two major Question-and-Answer websites:
- The R tag page on Stackoverflow, and
- Stat over flow (which will soon move to a new domain, no worries, I’ll write about it once it happens)
In that time, several long (and fascinating) discussion threads where started, reflecting on tips and best practices for managing a statistical analysis project. They are:
- “Workflow for statistical analysis and report writing”
- “Organizing R Source Code”
- “How to organize large R programs?”
- “R and version control for the solo data analyst”
- “How does software development compare with statistical programming/analysis ?”
- “How do you combine “Revision Control” with “WorkFlow” for R?”
- How to efficiently manage a statistical analysis project?
On the last thread in the list, the user chl, has started with trying to compile all the tips and suggestions together. And with his permission, I am now republishing it here. I encourage you to contribute from your own experience (either in the comments, or by answering to any of the threads I’ve linked to)
