R/layout_pmds.R
layout_tbl_graph_pmds.RdThis 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_cactustree(),
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_htree(),
layout_tbl_graph_igraph(),
layout_tbl_graph_linear(),
layout_tbl_graph_manual(),
layout_tbl_graph_matrix(),
layout_tbl_graph_metro(),
layout_tbl_graph_partition(),
layout_tbl_graph_sf(),
layout_tbl_graph_stress(),
layout_tbl_graph_treemap(),
layout_tbl_graph_unrooted()