Difference between revisions of "Lesson05"
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==Optional Readings== | ==Optional Readings== | ||
| + | * [https://link-springer-com.libproxy.smu.edu.sg/content/pdf/10.1007%2F978-3-540-33037-0_23.pdf Visualizing Contingency Tables] | ||
* [http://www.theusrus.de/blog/understanding-mosaic-plots/ Understanding Area Based Plots: Mosaic Plots] | * [http://www.theusrus.de/blog/understanding-mosaic-plots/ Understanding Area Based Plots: Mosaic Plots] | ||
* [https://link-springer-com.libproxy.smu.edu.sg/content/pdf/10.1007%2F978-3-540-33037-0_24.pdf Mosaic Plots and Their Variants] | * [https://link-springer-com.libproxy.smu.edu.sg/content/pdf/10.1007%2F978-3-540-33037-0_24.pdf Mosaic Plots and Their Variants] | ||
Revision as of 22:03, 23 September 2018
ISSS608 Visual Analytics and Applications
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Contents
Readings
Core Readings
Optional Readings
- Visualizing Contingency Tables
- Understanding Area Based Plots: Mosaic Plots
- Mosaic Plots and Their Variants
- 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
Heatmap
- Using R to draw a Heatmap from Microarray Data
- R packages for creating heatmap
- heatmap() [R base function, stats package]: Draws a simple heatmap.
- heatmap.2() [gplots R package]: Draws an enhanced heatmap compared to the R base function.
- pheatmap() [pheatmap R package]: Draws pretty heatmaps and provides more control to change the appearance of heatmaps.
- Heatmap() [ComplexHeatmap R/Bioconductor package]: Draws, annotates and arranges complex heatmaps (very useful for genomic data analysis)
- Superheatmap
- d3heatmap() [d3heatmap R package]: Draws an interactive/clickable heatmap
