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simulate allows to draw samples from a given TwoStageDesign.
simulate
TwoStageDesign
# S4 method for TwoStageDesign,numeric simulate(object, nsim, dist, theta, seed = NULL, ...)
TwoStageDesign to draw samples from
number of simulation runs
data distribution
location parameter of the data distribution
random seed
further optional arguments
simulate() returns a data.frame with nsim rows and for each row (each simulation run) the following columns
simulate()
data.frame
nsim
theta The effect size
n1 First-stage sample size
c1f Stopping for futility boundary
c1e Stopping for efficacy boundary
x1 First-stage outcome
n2 Resulting second-stage sample size after observing x1
c2 Resulting second-stage decision-boundary after observing x1
x2 Second-stage outcome
reject Decision whether the null hypothesis is rejected or not
# NOT RUN { design <- TwoStageDesign(25, 0, 2, 25, 2, order = 5) # draw samples assuming two-armed design simulate(design, 10, Normal(), .3, 42) # }
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