bdata_generator: Data Generation Function for Binomial RDT Design

In BRDT: Binomial Reliability Demonstration Tests

Description

Define the function to generate the dataset based on the design settings (for Binomial RDT).

Usage

bdata_generator(
  Cf,
  Cv,
  nvec,
  G,
  Cw,
  N,
  Rvec,
  cvec,
  pi,
  par = all(),
  option = c("optimal"),
  thres_CR
)

Arguments

Cf	Fixed costs of RDT
Cv	Variable unit costs of RDT
nvec	Vector of test sample size
G	Reliabilty growth cost
Cw	Average cost per warranty claim
N	Sales volume
Rvec	Vector of lower level reliability requirements
cvec	Vector of maximum allowable failures
pi	Failure probability
par	Specify which columns to return. Default is all columns.The columns include c('n', 'R', 'c', 'CR', 'AP', 'RDT Cost', 'RG Cost', 'RG Cost Expected', 'WS Cost', 'WS Failure Probability', 'WS Cost Expected', 'Overall Cost')
option	Options to get different datasets. Default is 'optimal'. If option = 'all', get all test plans data for all combinations of n, c, R; If option = 'optimal', get test plans data with optimal test sample size for every combination of c, R.
thres_CR	Threshold (acceptable level) of consumer's risk

Value

Matrix of the dataset

See Also

boptimal_cost for getting the optial test plan with minimum overall cost; boptimal_n for getting the optial test sample size;

Examples

nvec <- seq(0, 10, 1)
Rvec <- seq(0.8, 0.85, 0.01)
cvec <- seq(0, 2, 1)
pi <- pi_MCSim_beta(M = 5000, seed = 10, a = 1, b = 1)
bdata_generator(Cf = 10, Cv = 10, nvec = nvec, G = 10000, Cw = 10,
N = 100, Rvec = Rvec, cvec = cvec, pi = pi,
par = c('n', 'R', 'c', 'CR', 'AP'), option = c("optimal"), thres_CR = 0.05)

BRDT documentation built on July 1, 2020, 9:35 p.m.