micropan, patchwork, ape, phangorn, pegas, DECIPHER,
rhierbaps, knitr, rmarkdown, testthat, covr

Use XKCD's "Painbow" Colormap in ggplot2
XKCD described a supposedly "bad" colormap that it called a "Painbow" (see <https://xkcd.com/2537/>). But simple tests demonstrate that under some circumstances, the colormap can perform very well, and people can find information that is difficult to detect with the ggplot2 default and even supposedly "good" colormaps like viridis. This library let's you use the Painbow in your own ggplot graphs.

Creation and Manipulation of Color Palettes
person("Brody", "Sandel",role = c("aut","cre"),
email = "bsandel@scu.edu")
Functions for creating color palettes, visualizing
palettes, modifying colors, and assigning colors for plotting.

person(given = "Dean",
family = "Li",
role = c("aut", "cre"),
email = "lida@sioc.ac.cn")
Color palettes generated from paintings.

Plots matrices of colours as grids of coloured squares - aka heatmaps,
guaranteeing legible row and column names,
without transformation of values,
without re-ordering rows or columns,
and without dendrograms.

Confidence intervals for the ratio of locations and for the
ratio of scales of two paired samples
Cornelia Froemke, Ludwig Hothorn and Michael Schneider
The package contains two functions: paired.Loc and
paired.Scale. A parametric and nonparametric confidence
interval can be computed for the ratio of locations
(paired.Loc) and the ratio of scales (paired.Scale). The
samples must be paired and positive.

The package contains two functions: paired.Loc and
paired.Scale. A parametric and nonparametric confidence
interval can be computed for the ratio of locations
(paired.Loc) and the ratio of scales (paired.Scale). The
samples must be paired and expected values must be positive.

A tool to compare two heatmaps and discover patterns
within and across groups. In the context of biology, group can
be defined based on gene ontology.

person("Garth", "Tarr", , "garth.tarr@gmail.com", role = c("aut", "cre"))
Creates an interactive scatterplot matrix using the D3 JavaScript library. See <http://d3js.org/> for more information on D3.