Package: HiveR
Type: Package
Title: 2D and 3D Hive Plots for R
Version: 0.2-7
Date: 2012-10-05
Author: Bryan A. Hanson DePauw University, Greencastle Indiana USA
Maintainer: Bryan A. Hanson <hanson@depauw.edu>
Description: 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.
License: GPL-3
Imports: grid, RColorBrewer, rgl, xtable, bipartite, RFOC, sna, tkrgl,
plyr
Suggests: mvbutils, FuncMap, lattice, reshape
URL: http://academic.depauw.edu/~hanson/HiveR/HiveR.html
ByteCompile: TRUE
Packaged: 2012-10-05 14:41:22 UTC; bryanhanson
Repository: CRAN
Date/Publication: 2012-10-05 15:09:45

Description: Creates and plots 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.
Imports: grid, plyr, jpeg, png, RColorBrewer, utils, stats
bipartite, sna, tcltk, rgl, xtable, tkrgl
Packaged: 2015-07-26 23:45:53 UTC; bryanhanson

Packaged: 2016-01-25 19:55:06 UTC; bryanhanson

Packaged: 2016-03-25 20:08:07 UTC; bryanhanson

Imports: grid, plyr, jpeg, png, RColorBrewer, utils, stats, rgl, tkrgl,
Suggests: FuncMap, knitr, sna, xtable, bipartite
Packaged: 2017-07-27 23:19:38 UTC; bryanhanson

Imports: grid, plyr, jpeg, png, RColorBrewer, utils, stats, rgl, tcltk
Packaged: 2020-05-07 14:15:38 UTC; bryanhanson

Suggests: FuncMap, knitr, sna, xtable, bipartite, rmarkdown, tint
Packaged: 2020-06-08 13:02:11 UTC; bryanhanson

Author: Frank E Harrell Jr <fharrell@virginia.edu>, with
Description: The Hmisc library contains many functions useful for data
analysis, high-level graphics, utility operations, functions for
computing sample size and power, importing datasets,
imputing missing values, advanced table making, variable clustering,
character string manipulation, conversion of S objects to LaTeX code,
recoding variables, and bootstrap repeated measures analysis.