Difference between revisions of "Lesson04"
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=R Methods= | =R Methods= | ||
| − | == | + | ==Ternary Plot== |
* R packages for creating ternary plot | * R packages for creating ternary plot | ||
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** [https://cran.r-project.org/web/packages/vcd/index.html vcd], which contains the function ternaryplot; | ** [https://cran.r-project.org/web/packages/vcd/index.html vcd], which contains the function ternaryplot; | ||
** [http://www.ggtern.com/ ggtern], an extension to ggplot2. | ** [http://www.ggtern.com/ ggtern], an extension to ggplot2. | ||
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| + | ==Heatmap== | ||
* [https://warwick.ac.uk/fac/sci/moac/people/students/peter_cock/r/heatmap Using R to draw a Heatmap from Microarray Data] | * [https://warwick.ac.uk/fac/sci/moac/people/students/peter_cock/r/heatmap Using R to draw a Heatmap from Microarray Data] | ||
Revision as of 10:48, 19 September 2018
ISSS608 Visual Analytics and Applications
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Contents
Readings
Core Readings
- An Introduction to Visual Multivariate Analysis
- The scatter-plot matrix: a great tool
- A Graphical Display of Large Correlation Matrices
- Corrgrams: Exploratory Displays for Correlation Matrices
- GPLOM: The Generalized Plot Matrix for Visualizing Multidimensional Multivariate Data
- Ternary Plot
- Multivariate Data Glyphs
- Parallel Coordinates
- Wikipedia: Heatmap
- Mosaic Plots
- Turning a Table into a Tree: Growing Parallel Sets into a Purposeful Project
- TableLens: A Clear Window for Viewing Multivariate Data
Optional Readings
- Multidimensional Detective
- Parallel Coordinates
- Multivariate Analysis Using Parallel Coordinates
- Understanding Area Based Plots: Mosaic Plots
- Visualizing Defect Percentages with Parallel Sets
- Parallel Sets vs. Mosaic Plots (Take I)
- Discovery Exhibition: Parallel Sets
R Methods
Ternary Plot
- R packages for creating ternary plot
