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