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## |
## | *Unit tests helper functions*
## |
## | This file is part of the R package rpact:
## | Confirmatory Adaptive Clinical Trial Design and Analysis
## |
## | Author: Gernot Wassmer, PhD, and Friedrich Pahlke, PhD
## | Licensed under "GNU Lesser General Public License" version 3
## | License text can be found here: https://www.r-project.org/Licenses/LGPL-3
## |
## | RPACT company website: https://www.rpact.com
## | rpact package website: https://www.rpact.org
## |
## | Contact us for information about our services: info@rpact.com
## |
## | File version: $Revision: 6117 $
## | Last changed: $Date: 2022-05-04 15:55:23 +0200 (Mi, 04 Mai 2022) $
## | Last changed by: $Author: pahlke $
## |
testGetAnalysisResultsPlotData <- function(x, ..., nPlanned = NA_real_,
stage = NA_integer_, allocationRatioPlanned = NA_real_) {
plotArgs <- .getAnalysisResultsPlotArguments(
x = x, nPlanned = nPlanned,
allocationRatioPlanned = allocationRatioPlanned
)
if (x$getDataInput()$isDatasetMeans()) {
assumedStDev <- .getOptionalArgument("assumedStDev", ...)
if (is.null(assumedStDev)) {
assumedStDev <- x$assumedStDev
return(.getConditionalPowerPlot(
stageResults = plotArgs$stageResults,
nPlanned = plotArgs$nPlanned,
allocationRatioPlanned = plotArgs$allocationRatioPlanned,
assumedStDev = assumedStDev, ...
))
}
} else if (x$getDataInput()$isDatasetRates()) {
pi2 <- .getOptionalArgument("pi2", ...)
if (is.null(pi2)) {
pi2 <- x$pi2
return(.getConditionalPowerPlot(
stageResults = plotArgs$stageResults,
nPlanned = plotArgs$nPlanned,
allocationRatioPlanned = plotArgs$allocationRatioPlanned,
pi2 = pi2, ...
))
}
}
return(.getConditionalPowerPlot(
stageResults = plotArgs$stageResults,
nPlanned = plotArgs$nPlanned,
allocationRatioPlanned = plotArgs$allocationRatioPlanned, ...
))
}
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