View source: R/diagnostic_plots.R
| plot_decision_heatmap | R Documentation |
Shows the equivalence decision (pass or fail) for every endpoint and
comparator in every simulated trial. Each tile is one binary decision;
green means that the criterion passed and orange means that it failed. The
Total row is the combined decision for the comparator, and an
All comparators panel, when present, shows the overall decision. This
makes isolated failures, unstable endpoints, and systematic comparator
differences easy to identify.
plot_decision_heatmap(x, display = "all", ...)
x |
A |
display |
Comparator names to display, or |
... |
Unused additional arguments. |
The x-axis is the simulation-trial number and has no scientific
meaning beyond showing the sequence of simulated datasets. Endpoint rows
show individual decisions; Total shows the combined endpoint decision
according to k and the specified decision rule. The heatmap is a
diagnostic of trial-level decisions, not a replacement for the numerical
power estimate.
A ggplot object.
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