iPlots is a package for the R statistical environment (see www.r-project.org) which provides high interaction statistical graphics, written in Java. It offers a wide variety of plots, including histograms, barcharts, scatterplots, boxplots, fluctuation diagrams, parallel coordinates plots and spineplots. All plots support interactive features, such as querying, linked highlighting, color brushing, and interactive changing of parameters. The iPlots package was introduced at the DSC-2003 (http://www.ci.tuwien.ac.at/Conferences/DSC-2003/). The various additions of Version 2.0 were introduced at the userR!2006 Conference (http://www.r-project.org/useR-2006/). Besides interactive plots, iPlots also provides an API for managing plots and adding user-defined objects, such as lines or polygons to a plot. Version 2.0 not only adds new multivariate plots and interactive features throughout all plots, but also lays the foundations for interactive customizable plots (ICP). (Source: http://cran.r-project.org/web/packages)

References in zbMATH (referenced in 11 articles )

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  1. Mark O’Connell, Catherine B. Hurley, Katarina Domijan: Conditional Visualization for Statistical Models: An Introduction to the condvis Package in R (2016) arXiv
  2. Xie, Yihui; Hofmann, Heike; Cheng, Xiaoyue: Reactive programming for interactive graphics (2014)
  3. Conversano, Claudio: Interactive visualization in multiclass learning: integrating the SASSC algorithm with KLIMT (2011)
  4. Eugster, Manuel J.A.; Leisch, Friedrich: Exploratory analysis of benchmark experiments an interactive approach (2011)
  5. Urbanek, Simon: iPlots eXtreme: next-generation interactive graphics design and implementation of modern interactive graphics (2011)
  6. Wollschläger, Daniel: Foundations of data analysis with R. An application oriented introduction. (2010)
  7. Harner, E.James; Luo, Dajie; Tan, Jun: JavaStat: a Java/R-based statistical computing environment (2009)
  8. Lawrence, Michael; Wickham, Hadley; Cook, Dianne; Hofmann, Heike; Swayne, Deborah F.: Extending the GGobi pipeline from R. Rapid prototyping of interactive visualizations (2009)
  9. Urbanek, Simon: How to talk to strangers: ways to leverage connectivity between R, Java and Objective C (2009)
  10. Nakano, Junji; Yamamoto, Yoshikazu; Honda, Keisuke: Programming statistical data visualization in the Java language (2008)
  11. Cook, Dianne; Swayne, Deborah F.: Interactive and dynamic graphics for data analysis. With R and GGobi. With contributions by Andreas Buja, Duncan Temple Lang, Heike Hofmann, Hadley Wickham, and Michael Lawrence. (2007)