Software Tools in R for Visualizing Proximity Matrices
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.
Description
| Type of resource | software, multimedia |
|---|---|
| Date created | 2016 |
Creators/Contributors
| Author | Kim, Hyung-Suk | |
|---|---|---|
| Author | Kaneshiro, Blair | |
| Primary advisor | Norcia, Anthony M. |
Subjects
| 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 |
Bibliographic information
| 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 |
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| Related item |
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| Location | https://purl.stanford.edu/gk391pg6358 |
Access conditions
- 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
- 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
Collection
Stanford Research Data
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- Contact
- blairbo@ccrma.stanford.edu
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