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 data.frame with the columns x, y, circular as
well as any information stored as node variables in the tbl_graph object.
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
The underlying algorithm is implemented in the graphlayouts package by David Schoch
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()