Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/gastonstat/arcdiagram
R package arcdiagram
https://github.com/gastonstat/arcdiagram
arc-diagram data-visualization graphs r-package
Last synced: about 1 month ago
JSON representation
R package arcdiagram
- Host: GitHub
- URL: https://github.com/gastonstat/arcdiagram
- Owner: gastonstat
- Created: 2013-01-31T17:23:55.000Z (almost 12 years ago)
- Default Branch: master
- Last Pushed: 2022-03-27T00:13:12.000Z (over 2 years ago)
- Last Synced: 2024-08-06T03:05:17.402Z (5 months ago)
- Topics: arc-diagram, data-visualization, graphs, r-package
- Language: R
- Homepage:
- Size: 62.5 KB
- Stars: 78
- Watchers: 11
- Forks: 38
- Open Issues: 11
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# `"arcdiagram"`
`arcdiagram` is a minimalist package that provides a basic function to plot
pretty arc diagrams in R.
## Donation
As a Data Science and Statistics educator, I love to share the work I do.
Each month I spend dozens of hours curating learning materials and computational
tools like this R package. If you find any value and usefulness in `arcdiagram`,
please consider making a
one-time donation---via paypal---in any amount
(e.g. the amount you would spend inviting me a coffee or any other drink).
Your support really matters.
## Installation
`arcdiagram` is only available in github (but not in CRAN). To install the
development version, use `install_github()` from R package `"devtools"`:
```ruby
# install 'arcdiagram' (development version)
devtools::install_github('gastonstat/arcdiagram')
```
## Some Examples
```ruby
library(arcdiagram)
# create a star graph with 10 nodes
star_graph = graph.star(10, mode="out")
# extract edgelist
star_edges = get.edgelist(star_graph)
# inspect star_edges
star_edges
# plot 1: default arc diagram
arcplot(star_edges)
# plot 2: show nodes as circles, in decreasing order
arcplot(star_edges, show.nodes=TRUE, sorted=TRUE, decreasing=TRUE, las=1)
# plot 3: different ordering, arc widths, arc colors, and node sizes
set.seed(120)
arcplot(star_edges, ordering=sample(1:10), labels=paste("node",1:10,sep="-"),
lwd.arcs=4*runif(10,.5,2), col.arcs=hsv(runif(9,0.6,0.8),alpha=0.4),
show.nodes=TRUE, pch.nodes=21, cex.nodes=runif(10,1,3),
col.nodes="gray80", bg.nodes="gray90", lwd.nodes=2)
# plot 4: same as plot 3 but vertically oriented
set.seed(120)
op = par(mar = c(0.5, 5, 0.5, 3))
arcplot(star_edges, ordering=sample(1:10), horizontal=FALSE,
labels=paste("node",1:10,sep="-"),
lwd.arcs=4*runif(10,.5,2), col.arcs=hsv(runif(9,0.6,0.8),alpha=0.4),
show.nodes=TRUE, pch.nodes=21, cex.nodes=runif(10,1,3),
col.nodes="gray80", bg.nodes="gray90", lwd.nodes=2)
par(op)
```