This layout is similar to the 'mds' layout but uses only a subset of pivot nodes for the mds calculation, making it considerably faster and thus suited for large graphs
layout_tbl_graph_pmds(graph, pivots, weights = NULL, circular = FALSE)A tbl_graph object
The number of pivot nodes
An expression evaluated on the edge data to provide edge weights for the layout. Currently ignored for the sparse version
ignored
A data.frame with the columns x, y, circular as
well as any information stored as node variables in the tbl_graph object.
Brandes, U. and Pich, C. (2006). Eigensolver Methods for Progressive Multidimensional Scaling of Large Data. In International Symposium on Graph Drawing (pp. 42-53). Springer
Other layout_tbl_graph_*: layout_tbl_graph_auto,
layout_tbl_graph_backbone,
layout_tbl_graph_centrality,
layout_tbl_graph_circlepack,
layout_tbl_graph_dendrogram,
layout_tbl_graph_eigen,
layout_tbl_graph_fabric,
layout_tbl_graph_focus,
layout_tbl_graph_hive,
layout_tbl_graph_igraph,
layout_tbl_graph_linear,
layout_tbl_graph_manual,
layout_tbl_graph_matrix,
layout_tbl_graph_partition,
layout_tbl_graph_stress,
layout_tbl_graph_treemap,
layout_tbl_graph_unrooted