Interactively Exploring High-Dimensional Data and Models in R, 9781032746098
Paperback
Visualize complex R data and models: discover hidden patterns.
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Interactively Exploring High-Dimensional Data and Models in R

$158.63

  • Paperback

    272 pages

  • Release Date

    7 April 2026

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Summary

Most data arrive with more than two numeric variables, which means that plotting it on a computer screen or printed page presents a challenge: how do you visually explore for associations between more than two variables? Visualizing data provides the opportunity to discover what we never expected, because it requires fewer assumptions to be made. Visualizing elements of a model fit is a primary way to diagnose whether the fit matches this data. Two or more numeric variables are considered mul…

Book Details

ISBN-13:9781032746098
ISBN-10:1032746092
Author:Dianne Cook, Ursula Laa
Publisher:Taylor & Francis Ltd
Imprint:Chapman & Hall/CRC
Format:Paperback
Number of Pages:272
Release Date:7 April 2026
Weight:0g
Dimensions:234mm x 156mm
Series:Chapman & Hall/CRC The R Series
About The Author

Dianne Cook

Dianne Cook and Ursula Laa have jointly published numerous papers on methodology for high-dimensional data visualisation in the past decade. This book is a result of these collaborations.

Dianne Cook has been researching methods for data visualisation, particularly for exploratory data analysis, and data mining, for more than 30 years. She is a Distinguished Professor of Statistics at Monash University, Fellow of the American Statistical Association, past editor of the Journal of Computational and Graphical Statistics, and the R Journal, Board Member of the R Foundation, and elected member of the International Statistical Institute, and author of numerous R packages.

Ursula Laa is an Assistant Professor at the Institute of Statistics of the University of Natural Resources and Life Sciences in Vienna. She works on new methods for the visualisation of multivariate data and models, and on interdisciplinary applications of statistics and data science methods in different fields.

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