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ICON: easy access to complex systems datasets\n\n[![Travis-CI Build Status](https://travis-ci.org/rrrlw/ICON.svg?branch=master)](https://travis-ci.org/rrrlw/ICON)\n[![AppVeyor Build Status](https://ci.appveyor.com/api/projects/status/github/rrrlw/ICON?branch=master\u0026svg=true)](https://ci.appveyor.com/project/rrrlw/ICON)\n[![Codecov test coverage](https://codecov.io/gh/rrrlw/ICON/branch/master/graph/badge.svg)](https://codecov.io/gh/rrrlw/ICON?branch=master)\n\n[![License: CC0-1.0](https://img.shields.io/badge/License-CC0%201.0-blue.svg)](http://creativecommons.org/publicdomain/zero/1.0/)\n[![CRAN version](http://www.r-pkg.org/badges/version/ICON)](https://CRAN.R-project.org/package=ICON)\n[![CRAN Downloads](http://cranlogs.r-pkg.org/badges/grand-total/ICON)](https://CRAN.R-project.org/package=ICON)\n\n[![Preprint](https://img.shields.io/badge/arXiv-2010.15222-red)](https://arxiv.org/abs/2010.15222)\n\n## Overview\n\nThe ICON R package provides easy-to-use and easy-to-access datasets from the Index of COmplex Networks (ICON) database available at the University of Colorado website.\nAll datasets can be loaded with a single function call and new datasets are being slowly added from ICON at \u003chttps://icon.colorado.edu\u003e.\nCurrently, the ICON R package includes 1,075 complex networks.\n\n## Installation\n\nTo install the ICON package, run the following R code:\n```r\n# install from CRAN (older, fewer networks)\ninstall.packages(\"ICON\")\n\n# install development version from GitHub (updated, more networks)\ndevtools::install_github(\"rrrlw/ICON\")\n```\n\n## Sample code\n\nThe sample code below demonstrates network visualization using the igraph R package.\nFor a more detailed look at network analysis (using the network R package) and visualization (using the ggnetwork R package), please take a look at the package vignette.\n\n```r\n# load ICON package and data frame of available datasets\nlibrary(\"ICON\")\ndata(ICON_data)\n\n# vector of names of available datasets\nprint(ICON_data$Var_name)\n\n# look at entire data frame in Rstudio\nView(ICON_data)\n\n# load the chess dataset for use and look at the first few lines\nget_data(\"chess\")\nhead(chess)\n\n# load another dataset for use\nget_data(\"seed_disperse_beehler\")\n\n# plot interaction network using igraph\nlibrary(\"igraph\")\nmy_graph \u003c- graph_from_edgelist(as.matrix(seed_disperse_beehler[, 1:2]), directed = FALSE)\nplot(my_graph, vertex.label = NA, vertex.size = 5)\n\n# following plot is generated (exact vertex positioning varies each time code is run)\n```\n\n\u003cimg src=\"https://raw.githubusercontent.com/rrrlw/ICON/master/SamplePlot.png\" align=\"center\" width=\"268\" height=\"265\"/\u003e\u003cbr/\u003e\n\n## Contribute\n\nSee contribution guidelines [here](https://github.com/rrrlw/ICON/blob/master/CONTRIBUTING.md).\nFirst-timers and beginners are welcome!\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frrrlw%2Ficon","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frrrlw%2Ficon","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frrrlw%2Ficon/lists"}