print.initial_graph {graphicalMCP} | R Documentation |
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 class 'initial_graph'
print(x, ..., precision = 4, indent = 0)
Arguments
x |
An object of class |
... |
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. |
Value
An object x of class initial_graph
, after printing the initial
graph.
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