ggraph is an extension of ggplot2 aimed at supporting relational data structures such as networks, graphs, and trees. While it builds upon the foundation of ggplot2 and its API it comes with its …

There’s a lot of different layouts in ggraph — All layouts from the graphlayouts and igraph packages are available, and ggraph itself also provides some of the more specialised layouts …

Details Following is a short description of the different layout types available in ggraph. Each layout is further described in its own help pages. Any type of regular graph/network data can …

Package index • ggraphReference

ggraph offers a lot of additional customization of the edge labels but this shows the main features. As with arrowheads labels can severely clutter your visualization so it is only advisable on very …

Sometimes these are also referred to as vertices, but ggraph has opted for this nomenclature and uses it consistently. While the nodes in a graph are the abstract concepts of entities, and the …

Following ggraph v2.0 the tidygraph package has been used as the central data structure. The integration goes beyond using it as a simple background engine and has deep implications for …

The grammar of graphics as implemented in ggplot2 is a poor fit for graph and network visualizations due to its reliance on tabular data input. ggraph is an extension of the ggplot2 …

Examples require (tidygraph)gr<- create_notable ('bull') %>% mutate (class = sample (letters[1:3], n (), replace =TRUE)) ggraph (gr, 'stress')+ geom_node_point (aes (label =class))#>Warning: …

When plotting graphs, networks, and trees the coordinate values are often of no importance and axes are thus a distraction. ggraph comes with a build-in theme that removes redundant …