c(person("Murray", "Stokely", role = c("aut", "cre"),
email = "mstokely@google.com"),
person("Tim", "Hesterberg", role = "ctb", email = "rocket@google.com"))
Murray Stokely [aut, cre],
Tim Hesterberg [ctb]

c(person("Murray", "Stokely", role = c("aut", "cre"),
email = "murray@stokely.org"),
person("Tim", "Hesterberg", role = "ctb", email = "rocket@google.com"))
Provides a number of utility functions useful for manipulating large histograms.  This includes methods to trim, subset, merge buckets, merge histograms, convert to CDF, and calculate information loss due to binning.  It also provides a protocol buffer representations of the default R histogram class to allow histograms over large data sets to be computed and manipulated in a MapReduce environment.

HiveR is an R package for creating and plotting 2D and 3D
hive plots. Hive plots are a unique method of displaying
networks of many types in which node properties are mapped to
axes using meaningful properties rather than being arbitrarily
positioned.  The hive plot concept was invented by Martin
Kryzwinski at the Genome Science Center (www.hiveplot.net/).
Keywords: networks, food webs, linnet.
RFOC, grid, RColorBrewer, rgl, xtable, bipartite

HiveR is an R package for creating and plotting 2D and 3D hive plots. Hive plots are a unique method of displaying networks of many types in which node properties are mapped to axes using meaningful properties rather than being arbitrarily positioned.  The hive plot concept was invented by Martin Krzywinski at the Genome Science Center (www.hiveplot.net/).  Keywords: networks, food webs, linnet, systems biology, bioinformatics.
grid, RColorBrewer, rgl, xtable, bipartite, RFOC, sna

HiveR is an R package for creating and plotting 2D and 3D
hive plots. Hive plots are a unique method of displaying
networks of many types in which node properties are mapped to
axes using meaningful properties rather than being arbitrarily
positioned.  The hive plot concept was invented by Martin
Krzywinski at the Genome Science Center (www.hiveplot.net/).
Keywords: networks, food webs, linnet, systems biology,
bioinformatics.
grid, RColorBrewer, rgl, xtable, bipartite, sna, tkrgl, plyr,
tcltk