Tourr: An R package for exploring multivariate data with projections

Hadley Wickham, Dianne Cook, Heike Hofmann, Andreas Buja

Research output: Contribution to journalArticleResearchpeer-review

27 Citations (Scopus)

Abstract

This paper describes an R package which produces tours of multivariate data. The package includes functions for creating di erent types of tours, including grand, guided, and little tours, which project multivariate data (p-D) down to 1, 2, 3, or, more generally, d (≤p) dimensions. The projected data can be rendered as densities or histograms, scatterplots, anaglyphs, glyphs, scatterplot matrices, parallel coordinate plots, time series or images, and viewed using an R graphics device, passed to GGobi, or saved to disk. A tour path can be stored for visualisation or replay. With this package it is possible to quickly experiment with di erent, and new, approaches to tours of data. This paper contains animations that can be viewed using the Adobe Acrobat PDF viewer.

Original languageEnglish
Pages (from-to)1-18
Number of pages18
JournalJournal of Statistical Software
Volume40
Issue number2
DOIs
Publication statusPublished - Apr 2011
Externally publishedYes

Keywords

  • Correlation tour
  • Grand tour
  • Guided tour
  • Little tour
  • Local tour
  • Projection pursuit
  • Statistical graphics
  • Visual data mining
  • Visualization

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