Package: heatmaply
Type: Package
Title: Interactive Heat Maps Using 'plotly'
Version: 0.6.0
Date: 2016-11-05
Authors@R: c(person("Tal", "Galili", role = c("aut", "cre", "cph"), email =
"tal.galili@gmail.com", comment = "https://www.r-statistics.com"),
person("Alan", "Ocallaghan", comment = "https://github.com/Alanocallaghan",role = "ctb"),
person("Yoav", "Benjamini", email = "ybenja@tau.ac.il",role = "ths"))
Description: 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.
Depends: R (>= 3.0.0), plotly (>= 4.5.2), viridis
Imports: ggplot2, dendextend, magrittr (>= 1.0.1), reshape2, scales,
seriation, utils, stats, colorspace, GGally
Suggests: knitr, rmarkdown, gplots, htmlwidgets, RColorBrewer
VignetteBuilder: knitr
License: GPL-2 | GPL-3
URL: https://cran.r-project.org/package=heatmaply,
https://github.com/talgalili/heatmaply/,
https://www.r-statistics.com/tag/heatmaply/
BugReports: https://github.com/talgalili/heatmaply/issues
LazyData: TRUE
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-11-05 16:12:16 UTC; junior
Author: Tal Galili [aut, cre, cph] (https://www.r-statistics.com),
Alan Ocallaghan [ctb] (https://github.com/Alanocallaghan),
Yoav Benjamini [ths]
Maintainer: Tal Galili <tal.galili@gmail.com>
Repository: CRAN
Date/Publication: 2016-11-06 00:17:15