graphicalMCP (version 0.2.5)

print.initial_graph: S3 print method for the class initial_graph

Description

A printed initial_graph displays a header stating "Initial graph", hypothesis weights, and transition weights.

Usage

# S3 method for initial_graph
print(x, ..., precision = 4, indent = 0)

Value

An object x of class initial_graph, after printing the initial graph.

Arguments

x

An object of class initial_graph to print.

...

Other values passed on to other methods (currently unused).

precision

An integer scalar indicating the number of decimal places to to display.

indent

An integer scalar indicating how many spaces to indent results.

References

Bretz, F., Posch, M., Glimm, E., Klinglmueller, F., Maurer, W., and Rohmeyer, K. (2011). Graphical approaches for multiple comparison procedures using weighted Bonferroni, Simes, or parametric tests. Biometrical Journal, 53(6), 894-913.

See Also

print.updated_graph() for the print method for the updated graph after hypotheses being deleted from the initial graph.

Examples

# A graphical multiple comparison procedure with two primary hypotheses (H1
# and H2) and two secondary hypotheses (H3 and H4)
# See Figure 1 in Bretz et al. (2011).
hypotheses <- c(0.5, 0.5, 0, 0)
transitions <- rbind(
  c(0, 0, 1, 0),
  c(0, 0, 0, 1),
  c(0, 1, 0, 0),
  c(1, 0, 0, 0)
)
hyp_names <- c("H11", "H12", "H21", "H22")
g <- graph_create(hypotheses, transitions, hyp_names)
g