BRDT (version 0.1.0)

bdata_generator: Data Generation Function for Binomial RDT Design

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

# NOT RUN {
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)
# }