This is an extension of the 'testthat' package that
lets you add parameters to your unit tests. Parameterized unit tests
are often easier to read and more reliable, since they follow the DNRY
(do not repeat yourself) rule.

person(given = "Michael",
family = "Quinn",
role = c("aut", "cre"),
email = "msquinn@google.com")

Feature Extraction from Female Brown Anole Lizard Dorsal
Patterns
Provides a set of functions to efficiently recognize and clean the continuous dorsal pattern of a female brown anole lizard (Anolis sagrei) traced from 'ImageJ', an open platform for scientific image analysis (see <https://imagej.net> for more information), and extract common features such as the pattern sinuosity indices, coefficient of variation, and max-min width.

Quantification of Color Pattern Variation
person("Steven", "Van Belleghem", email = "vanbelleghemsteven@hotmail.com", role = c("aut", "cre"))
Quantification of variation in organismal color patterns as obtained from image data.
Patternize defines homology between pattern positions across images either through
fixed landmarks or image registration. Pattern identification is performed by
categorizing the distribution of colors using either an RGB threshold or unsupervised
image segmentation.
raster, sp, rgdal, RNiftyReg, abind, Morpho

Quantification of variation in organismal color patterns as
obtained from image data. Patternize defines homology between pattern positions
across images either through fixed landmarks or image registration. Pattern
identification is performed by categorizing the distribution of colors using RGB
thresholds or image segmentation.
raster, sp, rgdal, abind, Morpho, dplyr, imager, magrittr,
purrr, vegan, RNiftyReg

raster, sp, rgdal, abind, Morpho, dplyr, imager, magrittr,
purrr, vegan, RNiftyReg, geomorph, ClusterR

Versatile Pie Chart using Patterns, Colors, and Images
Rcpp (>= 0.11.0), ggplot2 (>= 2.1.0), jpeg (>= 0.1-8), png (>=
0.1-7), grDevices, utils, RcppParallel, dplyr, gtable
c( person("Chunqiao", "Luo", email = "cluo@uams.edu", role = c("aut", "cre")),person("Shasha", "Bai", role = c("aut")) )
Creates aesthetically pleasing and informative pie charts.
It can plot pie charts either in black and white or in colors,
with or without filled patterns. On the one hand, black and white pie charts filled
with patterns are useful for publications, especially when an increasing
number of journals only accept black and white figures or charge a
significant amount for a color figure. On the other hand, colorful pie
charts with or without patterns are useful for print design, online publishing,
or poster and 'PowerPoint' presentations. 'patternplot' allows the flexibility of a
variety of combinations of patterns and colors to choose from. It also has the
ability to fill in the slices with any external images in 'png' and 'jpeg' formats.
In summary, 'patternplot' allows the users to be as creative as they can while
creating pie charts!
Chunqiao Luo [aut, cre],
Shasha Bai [aut]