getStageResults {rpact}  R Documentation 
Get Stage Results
Description
Returns summary statistics and pvalues for a given data set and a given design.
Usage
getStageResults(design, dataInput, ...)
Arguments
design 
The trial design.

dataInput 
The summary data used for calculating the test results.
This is either an element of DatasetMeans , of DatasetRates , or of DatasetSurvival .
See getDataset .

... 
Further (optional) arguments to be passed:
 stage
The stage number (optional). Default: total number of existing stages in the data input.
 thetaH0
The null hypothesis value, default is 0 for the normal and the binary case,
it is 1 for the survival case.
For testing a rate in one sample, a value thetaH0 in (0, 1) has to be specified for
defining the null hypothesis H0: pi = thetaH0.
For noninferiority designs, this is the noninferiority bound.
 thetaH1 and assumedStDev or pi1, pi2
The assumed effect size or assumed rates to calculate the
conditional power. Depending on the type of dataset, either thetaH1 (means and survival)
or pi1, pi2 (rates) can be specified. Additionally, if testing means is specified,
an assumed standard deviation can be specified, default is 1.
 normalApproximation
The type of computation of the pvalues. Default is FALSE for
testing means (i.e., the t test is used) and TRUE for testing rates and the hazard ratio.
For testing rates, if
normalApproximation = FALSE is specified, the binomial test
(one sample) or the test of Fisher (two samples) is used for calculating the pvalues.
In the survival setting,
normalApproximation = FALSE has no effect.
 equalVariances
The type of t test. For testing means in two treatment groups, either
the t test assuming that the variances are equal or the t test without assuming this,
i.e., the test of WelchSatterthwaite is calculated, default is equalVariances = TRUE .
 directionUpper
The direction of onesided testing.
Default is directionUpper = TRUE which means that larger values of the
test statistics yield smaller pvalues.

Details
Calculates and returns the stage results of the specified design and data input at the specified stage.
Value
Returns a StageResults
object.
Examples
design < getDesignInverseNormal()
dataRates < getDataset(
n1 = c(10,10),
n2 = c(20,20),
events1 = c(8,10),
events2 = c(10,16))
getStageResults(design, dataRates)
# produces:
#
# Stage results of rates:
# Stages : 1, 2, 3
# Overall test statistics : 1.581, 2.064, NA
# Overall pvalues : 0.05692, 0.01949, NA
# Overall events (1) : 8, 18
# Overall events (2) : 10, 26
# Overall sample sizes (1) : 10, 20
# Overall sample sizes (2) : 20, 40
# Test statistics : 1.581, 1.519, NA
# pvalues : 0.05692, 0.06437, NA
# Effect sizes : 0.30, 0.25, NA
# Inverse Normal Combination : 1.581, 2.192, NA
# Weights Inverse Normal : 0.577, 0.577, 0.577
# Theta H0 : 0
# Direction : upper
# Normal approximation : TRUE