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)
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
#> Initial graph
#>
#> --- Hypothesis weights ---
#> H11: 0.5
#> H12: 0.5
#> H21: 0.0
#> H22: 0.0
#>
#> --- Transition weights ---
#> H11 H12 H21 H22
#> H11 0 0 1 0
#> H12 0 0 0 1
#> H21 0 1 0 0
#> H22 1 0 0 0