To see what the 4-dimensional plot looks like, go to
Packaged: 2013-03-19 01:01:47 UTC; elliotnoma

Description: Given 2-,3- or 4-dimensional data, plots a Venn diagram, i.e. 'crossing circles'. The user can specify values, labels for each circle-group and unique colors for each plotted part. Here is what it would look like for a 3-dimensional plot: http://elliotnoma.files.wordpress.com/2011/02/venndiagram.png. To see what the 4-dimensional plot looks like, go to http://elliotnoma.files.wordpress.com/2013/03/4dplot.png.
Packaged: 2013-11-12 16:02:41 UTC; elliotnoma

Title: Colorful Hierarchical Clustering Dendrograms
Description: This function takes a hierarchical cluster-class object and a factor describing the groups as arguments and generates colorful dendrograms in which leaves belonging to different groups are identified by colors.

Description: Build dendrograms with sample groups highlighted by different colors. Visualize results of hierarchical clustering analyses as dendrograms whose leaves and labels are colored according to sample grouping. Assess whether data point grouping aligns to naturally occurring clusters.
Suggests: stats, grDevices, rmarkdown, knitr

Title: Colors and Palettes from Color-Hex
Description: The website <https:www.color-hex.com> is a great resource of hex colour
codes and palettes. This package allows you to retrieve palettes
and colour information from the website directly from R. There are
also custom scale-functions for 'ggplot2'.
Imports: rvest, xml2, grDevices, graphics, ggplot2
Author: Athanasia Mo Mowinckel [aut, cre]
Maintainer: Athanasia Mo Mowinckel <a.m.mowinckel@psykologi.uio.no>

Title: Coloring Wildlife Distributions in Space-Time
Description: Color and visualize wildlife distributions in
space-time using raster data. In addition to enabling display of
sequential change in distributions through the use of small multiples,
'colorist' provides functions for extracting several features of
interest from a sequence of distributions and for visualizing those
features using HCL (hue-chroma-luminance) color palettes. Resulting
maps allow for "fair" visual comparison of intensity values (e.g.,
occurrence, abundance, or density) across space and time and can be
used to address questions about where, when, and how consistently a
species, group, or individual is likely to be found.
Imports: colorspace, ggplot2, magrittr, raster, scales, stats, tidyr
Author: Justin Schuetz [aut] (<https://orcid.org/0000-0002-6163-538X>),