
Analyze using the prop.test function in base R.
AnalyzeUsingPropTest.Rd
This example utilizes the prop.test function in base R to perform the analysis. The p-value from prop.test is used to compute the Z statistic that is compared to the upper boundary computed and sent by East as an input. This example does NOT include a futility rule.
Arguments
- SimData
Data frame which consists of data generated in current simulation.
- DesignParam
List of Design and Simulation Parameters required to perform analysis.
- LookInfo
List containing Design and Simulation Parameters, which might be required to perform analysis.
- UserParam
A list of user defined parameters in East. The default must be NULL.
Value
TestStat A double value of the computed test statistic
Decision An integer value: Decision = 0 –> No boundary crossed Decision = 1 –> Lower Efficacy Boundary Crossed Decision = 2 –> Upper Efficacy Boundary Crossed Decision = 3 –> Futility Boundary Crossed Decision = 4 –> Equivalence Boundary Crossed
ErrorCode An integer value: ErrorCode = 0 –> No Error
Note
Helpful Hints: There is often info that East sends to R that are not shown in a given example. It can be very helpful to save the input objects and then load them into your R session and inspect them. This can be done with the following R code in your function.
saveRDS( SimData, "SimData.Rds") saveRDS( DesignParam, "DesignParam.Rds" ) saveRDS( LookInfo, "LookInfo.Rds" )
The above code will save each of the input objects to a file so they may be examined within R.