outcomeMultipleExperiments {populationPDXdesign} | R Documentation |
Function to run simulations to mimic population PDX studies for a defined scenario
Description
This is an internal function. Please use cautiously if calling directly. Simulations are used to mimic population PDX studies for specified values of PDXn, PDXr, Biol_RR and C_Acc.
Example usage: outcomeMultipleExperiments(PDXn=8, PDXr=3, C_Acc=0.95, Biol_RR=30, iterations=500)
Usage
outcomeMultipleExperiments(PDXn, PDXr, C_Acc, Biol_RR, iterations)
Arguments
PDXn |
PDXn |
PDXr |
PDXr |
C_Acc |
the classification accuracy (numeric value between 0 and 1) |
Biol_RR |
Biol_RR |
iterations |
no of experiments to simulated |
Value
a dataframe where each row represents the results from a simulation mimicking an individual experiment for a particular design with meta data returned to describe the experimental design
Author(s)
Maria Luisa Guerriero, maria.guerriero@astrazeneca.com
Natasha A. Karp, natasha.karp@astrazeneca.com
[Package populationPDXdesign version 1.0.3 Index]