Package: heatmaply
Type: Package
Title: Interactive Heat Maps Using 'plotly'
Version: 0.3.2
Date: 2016-05-25
Authors@R: c(person("Tal", "Galili", role = c("aut", "cre", "cph"), email =
    "tal.galili@gmail.com", comment = "http://www.r-statistics.com"))
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 (>= 3.6.0), viridis
Imports: ggplot2, dendextend, magrittr (>= 1.0.1), reshape2, scales,
        utils, stats
Suggests: knitr, rmarkdown, gplots
VignetteBuilder: knitr
License: GPL-2 | GPL-3
URL: https://cran.r-project.org/package=heatmaply,
        https://github.com/talgalili/heatmaply/,
        http://www.r-statistics.com/tag/heatmaply/
BugReports: https://github.com/talgalili/heatmaply/issues
LazyData: TRUE
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-05-26 07:40:04 UTC; junior
Author: Tal Galili [aut, cre, cph] (http://www.r-statistics.com)
Maintainer: Tal Galili <tal.galili@gmail.com>
Repository: CRAN
Date/Publication: 2016-05-26 17:50:25
