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Convert between graphicalMCP, gMCP, and igraph graph classes

Source: R/as_graph.R
as_graph.Rd

Graph objects have different structures and attributes in graphicalMCP, gMCP, and igraph R packages. These functions convert between different classes to increase compatibility.

Note that igraph and gMCP have additional attributes for vertices, edges, or a graph itself. These conversion functions only handle attributes related to hypothesis names, hypothesis weights and transition weights. Other attributes will be dropped when converting.

Usage

as_initial_graph(graph)

# S3 method for class 'graphMCP'
as_initial_graph(graph)

# S3 method for class 'igraph'
as_initial_graph(graph)

as_graphMCP(graph)

# S3 method for class 'initial_graph'
as_graphMCP(graph)

as_igraph(graph)

# S3 method for class 'initial_graph'
as_igraph(graph)

Arguments

graph

An initial_graph object from the graphicalMCP package, a graphMCP object from the gMCP package, or an igraph object from the igraph package, depending on the conversion type.

Value

  • as_graphMCP() returns a graphMCP object for the gMCP package.

  • as_igraph() returns an igraph object for the igraph package.

  • as_initial_graph() returns an initial_graph object for the graphicalMCP package.

References

Csardi, G., Nepusz, T., Traag, V., Horvat, S., Zanini, F., Noom, D., and Mueller, K. (2024). igraph: Network analysis and visualization in R. R package version 2.0.3. https://CRAN.R-project.org/package=igraph.

Rohmeyer, K., and Klinglmueller, K. (2024). gMCP: Graph based multiple test procedures. R package version 0.8-17. https://cran.r-project.org/package=gMCP.

See also

graph_create() for the initial graph used in the graphicalMCP package.

Examples

g_graphicalMCP <- random_graph(5)

if (requireNamespace("gMCP", quietly = TRUE)) {
  g_gMCP <- as_graphMCP(g_graphicalMCP)

  all.equal(g_graphicalMCP, as_initial_graph(g_gMCP))
}
#> [1] TRUE

if (requireNamespace("igraph", quietly = TRUE)) {
  g_igraph <- as_igraph(g_graphicalMCP)

  all.equal(g_graphicalMCP, as_initial_graph(g_igraph))
}
#> [1] TRUE