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Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Biplots are a type of exploratory graph used in statistics, a generalization of the simple two-variable scatterplot. A biplot allows information on both samples and variables of a data matrix to be displayed graphically. Samples are displayed as points while variables are displayed either as vectors, linear axes or nonlinear trajectories. In the case of categorical variables, category level points may be used to represent the levels of a categorical variable. A generalised biplot displays information on both continuous and categorical variables. The biplot was introduced by Gabriel. Gower and Hand wrote a monograph on biplots. Yan and Kang described various methods which can be used in order to visualize and interpret a biplot. The book by Greenacre is a practical user-oriented guide to biplots, along with scripts in the open-source R programming language, to generate biplots associated with principal component analysis, multidimensional scaling, log-ratio analysis - also known as spectral mapping - discriminant analysis and various forms of correspondence analysis: simple correspondence analysis, multiple correspondence analysis and canonical correspondence analysis.
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Product details

  • Paperback | 104 pages
  • 152 x 229 x 6mm | 163g
  • United States
  • English
  • 6136613069
  • 9786136613062