ANYL 466

Open source software for the statistical analysis of complex measurements

Hung-kung Liu, liu@nist.gov, William F. Guthrie, will.guthrie@nist.gov, John Lu, john.lu@nist.gov, and Juan Soto, juan.soto@nist.gov. Statistical Engineering Division, National Institute of Standards and Technology (NIST), 100 Bureau Drive, Stop 8980, Gaithersburg, MD 20899

Many scientists use Excel for data collection and statistical analysis. However, it has limited statistical functionality. The R language and environment provides an open source vehicle for research in statistical methodology. Thomas Baier's R-(D)COM package and Erich Neuwirth's Excel add-in together extend Excel's statistical reach. Using their technology we have developed scripts that harness the power of R to enable Excel users to use NIST recommended methodologies for statistical analysis. In this talk, we will demonstrate an automatic uncertainty calculator constructed with these tools.

Note: Identification of commercial products in this document does not imply recommendation or endorsement by the National Institute of Standards and Technology, nor does it imply that the products identified are necessarily the best available for the purpose.

Quantification of Measurement Uncertainty
8:30 AM-12:00 PM, Thursday, 1 September 2005 Washington DC Convention Center -- 152B, Oral

Division of Analytical Chemistry

The 230th ACS National Meeting, in Washington, DC, Aug 28-Sept 1, 2005