R/layout_pmds.R
layout_tbl_graph_pmds.Rd
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_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()