varyingPDXnPDXrBiolRR: Function to run simulations to mimic population PDX studies...

In populationPDXdesign: Designing Population PDX Studies

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]

populationPDXdesign documentation built on May 2, 2019, 9:13 a.m.