Description Usage Arguments Value Author(s) See Also
This function takes a mega dataset and returns test significances for one-stage design, two-stage design
(all-comer and sensitive group). This is in preparation for function f.pwr.cal
where multiple combinations
are considered.
1 2 | f.learn.confirm(data, learn.allocation = 30, cutoff = 0.4,
ac.alpha = 0.04, sg.alpha = 0.01, verbose = FALSE)
|
data |
pass a mega dataset (including multiple individual datasets) |
learn.allocation |
percentage of all subjects allocated to the learn stage |
ac.alpha |
alpha level assigned to (two-stage) all-comer analysis |
sg.alpha |
alpha level assigned to (two-stage) sensitive group analysis |
verbose |
(logical) whether to print out results for each trial (default: FALSE) |
a list of three vectors for indicating trial results, and other quantities for the integrated power analyses
performed by the function f.pwr.cal
Gu Mi <neo.migu@gmail.com>
f.learn.1
for learn stage analysis for a single dataset
f.confirm.1
for confirm stage analysis for a single dataset
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