Software Tools in R for Visualizing Proximity Matrices

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Abstract/Contents

Abstract: This code package contains a set of R functions for creating MDS and dendrogram visualizations of multi-category confusion matrices. The code includes options for normalizing and symmetrizing the confusion matrix, and for converting the pairwise similarities to distance measures. In addition, the code offers customization options for plotting labels and images, and for plotting series of MDS plots or dendrograms. Along with R functions, this code package includes scripts with step-by-step examples for creating and customizing each type of plot. Total size of the compressed .zip archive is around 400 KB.

Type of resource	software, multimedia
Date created	2016

Subject	Data Visualization
Subject	R
Subject	Representational Similarity Analysis
Subject	Dendrograms
Subject	Hierarchical Clustering
Subject	Multidimensional Scaling
Subject	Department of Electrical Engineering
Subject	Center for the Study of Language and Information
Subject	Department of Psychology

Related Publication	Blair Kaneshiro, Marcos Perreau Guimaraes, Hyung-Suk Kim, Anthony M. Norcia, and Patrick Suppes (2015). A Representational Similarity Analysis of the Dynamics of Object Processing Using Single-Trial EEG Classification. PLoS ONE 10:8, e0135697. doi:10.1371/journal.pone.0135697
Related item	Title PLoS ONE paper
Location	https://purl.stanford.edu/gk391pg6358

Use and reproduction: User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.
License: This work is licensed under a Creative Commons Attribution 3.0 Unported license (CC BY).

Preferred Citation: Hyung-Suk Kim, Blair Kaneshiro, and Anthony M. Norcia (2016). Software Tools in R for Visualizing Proximity Matrices. Stanford Digital Repository. Available at: http://purl.stanford.edu/gk391pg6358

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