Antony Rossini: Literate Statistical Analysis ***************************** Literate Statistical Practice (LSP) is an method for statistical practice which suggests that documentation and specification occur at the same time as statistical coding. It applies literate programming (Knuth, 1992) to the practice of statistics. We discuss 2 different approaches for LSP, one currently implemented using Emacs with Noweb and Emacs Speaks Statistics (ESS), and the other developed based on eXtensible Markup Language (XML) tools. The interference needed to change an individual's habits comes at a high cost, and good tools are critical for encouraging people to switch to a more literate style. We discuss why LSP can help, and suggest how ESS can ease the burden placed on the analyst. A.J. Rossini Rsrch. Asst. Prof. of Biostatistics BlindGlobe Networks (home/default) rossini@blindglobe.net UW Biostat/Center for AIDS Research rossini@u.washington.edu FHCRC/SCHARP/HIV Vaccine Trials Net rossini@scharp.org FHCRC: M/Tu: 206-667-7025 (fax=4812) | Voicemail is pretty sketchy CFAR: W/F: 206-731-3647 (fax=3694) | Email is far better than phone UW: Th/F: 206-543-1044 (fax=3286) | Change last 4 digits of phone for fax