Title :
Exact and Approximate Area-Proportional Circular Venn and Euler Diagrams
Author :
Wilkinson, Leland
Author_Institution :
Systat Software, Inc., Chicago, IL, USA
Abstract :
Scientists conducting microarray and other experiments use circular Venn and Euler diagrams to analyze and illustrate their results. As one solution to this problem, this paper introduces a statistical model for fitting area-proportional Venn and Euler diagrams to observed data. The statistical model outlined in this paper includes a statistical loss function and a minimization procedure that enables formal estimation of the Venn/Euler area-proportional model for the first time. A significance test of the null hypothesis is computed for the solution. Residuals from the model are available for inspection. As a result, this algorithm can be used for both exploration and inference on real data sets. A Java program implementing this algorithm is available under the Mozilla Public License. An R function venneuler () is available as a package in CRAN and a plugin is available in Cytoscape.
Keywords :
computational geometry; diagrams; statistical analysis; CRAN; Euler diagrams; Java program; R function venneuler; area-proportional circular Venn diagrams; minimization procedure; null hypothesis; statistical loss function; statistical model; Approximation methods; Computational modeling; Data models; Equations; Layout; Mathematical model; Stress; Visualization; bioinformatics; statistical graphics.; Algorithms; Computational Biology; Computer Graphics; Internet; Models, Statistical; Software;
Journal_Title :
Visualization and Computer Graphics, IEEE Transactions on
DOI :
10.1109/TVCG.2011.56