iPlots eXtreme: Next-generation interactive graphics design and implementation of modern interactive graphics

Computational Statistics

Volumn 26, Issue 3, 2011, Pages 381-393

  Urbanek, Simon ^a  

^a AT AND T LABS RESEARCH   (United States)

Author keywords

Data analysis; Interactive graphics; Software

Indexed keywords

EID: 79960598360     PISSN: 09434062     EISSN: 16139658     Source Type: Journal    
DOI: 10.1007/s00180-011-0240-x     Document Type: Article

References (11)

1. GLUT-the OpenGL Utility Toolkit, http://www. opengl. org/resources/libraries/glut/.
2. iWidgets-basic user interface widgets for R, R-package, http://rforge. net/iWidgets/.
3. Processing language and environment, http://www. processing. org/.
4. R Development Core Team, R: (2009) A language and environment for statistical computing, http://www. R-project. org. R Foundation for Statistical Computing, Vienna.
5. Reenskaug T (1979) Models-Views-Controllers. Technical note, Xerox PARC. http://heim. ifi. uio. no/~trygver/mvc/index. html.
6. Shreiner, D, OpenGL Architecture Review Board, OpenGL reference manual (2004) The official reference document to OpenGL, version 1. 4. Addison-Wesley, Boston.
7. Simon U, Theus M (2003) iPlots -high interaction graphics for R. In: Proceedings of the 3rd international workshop on distributed statistical computing (DSC 2003).
8. Swayne DF, Duncan TL, Andreas B, Dianne C (2003) GGobi: evolving from XGobi into an extensible framework for interactive data visualization. Comput Stat Data Anal 43: 423-444.
9. Unwin Antony (1999) Requirements for interactive graphics software for exploratory data analysis. Comput Stat 14: 7-22.
10. Wilhelm AFX, Interactive Statistical Graphics (1999) The Paradigm of Linked Views. Habilitationsschrift, University of Augsburg.
11. Wilkinson L (1999) The grammar of graphics. Springer, New York.