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roughnet's Introduction

roughnet

CRAN status Lifecycle: experimental

Using the java script library rough.js to draw sketchy, hand-drawn-like networks.
(Checkout ggrough for turning general ggplot objects into sketchy drawings)

Installation

You can install the developers version of roughnet with:

# install.packages("remotes")
remotes::install_github("schochastics/roughnet")

Example

library(roughnet)
library(igraph)

g <- make_graph("Zachary")
V(g)$shape <- "circle"
V(g)$shape[c(1,34)] <- "rectangle"
V(g)$fill <- c("#E41A1C", "#377EB8", "#4DAF4A", "#984EA3")[membership(cluster_louvain(g))]
V(g)$fillstyle <- c("hachure", "zigzag", "cross-hatch", "dots")[membership(cluster_louvain(g))]
V(g)$color <- "black"
V(g)$size <- 30
V(g)$stroke <- 2
E(g)$color <- "#AEAEAE"
roughnet(g,width = 960,height = 600)

You can save the plot with the function save_roughnet() (needs {{pagedown}} to be installed.)

# install.packages("pagedown")
p <- roughnet(g,width = 960,height = 600)
save_roughnet(p,"karate.png")

roughnet's People

Contributors

schochastics avatar

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