Trellis display for modeling data from designed experiments

Abstract: Visualizing data by graphing a response against certain factors, and conditioning on other factors, has arisen independently in many contexts. One is the interaction plots used in the analysis of data from designed experiments; these plots show conditional dependence based on the output of methods and models applied to the data. Trellis display, a framework for the visualization of multivariable data, allows conditioning to be readily carried out in a general way. It was developed initially in the context of data sets with a moderate or large number of observations to support the conditioning. This article demonstrates through examples that trellis display is also a highly useful visualization framework for designed experiments with a small number of runs. Trellis allows the visualization of conditional dependence, not based only on the output of models and methods, but also based on the raw data directly, which greatly aids the model building process. Trellis can even succee...

• Type: Journal
• Year: 2011
• Where: SADM
• Authors: Montserrat Fuentes, Bowei Xi, William S. Cleveland
• Keywords: Applied Computing, Conditional Dependence, Model Building Process, SADM 2011, Useful Visualization Framework