varyingPDXnPDXrBiolRR {populationPDXdesign}

Function to run simulations to mimic population PDX studies for variety of experimental and biological scenarios

Description

This is an internal function. Please use cautiously if calling directly. Simulations are used to mimic population PDX studies by inputing a variety of experimental factors (PDXn and PDXr) and biological factors (Biol_RR and C_Acc). Example usage: varyingPDXnPDXrBiolRR(PDXn_range=c(8,10,12), PDXr_range=c(1,3,5), Biol_RR_range=c(30,40,50), C_Acc=0.95, iterations=500)

Usage

varyingPDXnPDXrBiolRR(PDXn_range, PDXr_range, Biol_RR_range, C_Acc, iterations)

Arguments

PDXn_range

a vector of PDXn values to study

PDXr_range

a vector of PDXr values to study

Biol_RR_range

a vector of values between 0 and 100 to indicate the Biol_RR to study

C_Acc

the classification accuracy (numeric value between 0 and 1)

iterations

iterations

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, [e-mail]

Natasha A. Karp, [e-mail]