Difference between revisions of "Lesson04"
Jump to navigation
Jump to search
| Line 63: | Line 63: | ||
==Heatmap== | ==Heatmap== | ||
| + | |||
| + | * R packages for creating ternary plot | ||
| + | ** [https://cran.r-project.org/web/packages/Ternary/index.html Ternary], which employs the native plot functions; | ||
| + | ** Plot-ly, which uses a bespoke suite of plotting functions; | ||
| + | ** vcd, which contains the function ternaryplot; | ||
| + | ** ggtern, an extension to ggplot2. | ||
* [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 10:29, 19 September 2018
ISSS608 Visual Analytics and Applications
|
|
|
|
|
|
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
Heatmap
- R packages for creating ternary plot
- Ternary, which employs the native plot functions;
- Plot-ly, which uses a bespoke suite of plotting functions;
- vcd, which contains the function ternaryplot;
- ggtern, an extension to ggplot2.
