heatmaply: Interactive Heat Maps Using 'plotly'
Create interactive 'heatmaps' that are usable from the R console, in the 'RStudio' viewer pane, in 'R Markdown' documents, and in 'Shiny' apps. Hover the mouse pointer over a cell to show details or drag a rectangle to zoom. A 'heatmap' is a popular graphical method for visualizing high-dimensional data, in which a table of numbers are encoded as a grid of colored cells. The rows and columns of the matrix are ordered to highlight patterns and are often accompanied by 'dendrograms'. 'Heatmaps' are used in many fields for visualizing observations, correlations, missing values patterns, and more. Interactive 'heatmaps' allow the inspection of specific value by hovering the mouse over a cell, as well as zooming into a region of the 'heatmap' by dragging a rectangle around the relevant area. This work is based on the 'ggplot2' and 'plotly.js' engine. It produces similar 'heatmaps' as 'd3heatmap', with the advantage of speed ('plotly.js' is able to handle larger size matrix), and the ability to zoom from the 'dendrogram' panes.
- Tal Galili [aut, cre, cph] (https://www.r-statistics.com), Alan Ocallaghan [ctb] (https://github.com/Alanocallaghan), Yoav Benjamini [ths]
- Date of publication
- 2016-11-06 00:17:15
- Tal Galili <email@example.com>
- GPL-2 | GPL-3
- Creates a ggplot2 heatmap
- Cluster heatmap based on plotly
- Creates a heatmapr object
- Is the object of class heatmapr
- geom_tile for side color plots
Files in this package