Abstract
Cleveland (1993) introduced the idea of Trellis displays as a graphical way of examining high-dimensional structure in data by means of conditional one-, two-, and three-dimensional graphs. The problem addressed is how observations of one or more variables depend on the observation of other variables. To answer this question, the data are subset (split up into groups) according to the observations of the conditioning variables — the ones that are supposed to have an influence on the others.
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© 2002 Springer-Verlag New York, Inc.
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(2002). Trellis Graphics. In: Krause, A., Olson, M. (eds) The Basics of S-(scPlus). Statistics and Computing. Springer, New York, NY. https://doi.org/10.1007/978-0-387-22708-5_6
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DOI: https://doi.org/10.1007/978-0-387-22708-5_6
Publisher Name: Springer, New York, NY
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