arcdiagram is a minimalist package that provides a basic function to plot
pretty arc diagrams in R.
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
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arcdiagram is only available in github (but not in CRAN). To install the
development version, use install_github() from R package "devtools":
# install 'arcdiagram' (development version)
devtools::install_github('gastonstat/arcdiagram')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)
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