Comparison based on OC curves for different dilution schemes when diluted samples collected from a homogeneous batch.

Source: R/OC_curves_homogeneous.R

OC_curves_homogeneous provides the operating characteristic(OC) curves when diluted sample has homogeneous contaminants.

OC_curves_homogeneous(c, lambda_low, lambda_high, a, b, f, u, USL, n, n_sim)

Arguments

c

acceptance number

lambda_low

the lower value of the expected cell count (\(\lambda\)) for use in the graphical display's x-axis.

lambda_high

the upper value of the expected cell count (\(\lambda\)) for use in the graphical display's x-axis.

a

lower domain of the number of cell counts.

b

upper domain of the number of cell counts.

f

final dilution factor.

u

amount put on the plate.

USL

upper specification limit.

n

number of samples which are used for inspection.

n_sim

number of simulations (large simulations provide more precise estimations).

Value

OC curves when diluted samples collected from a homogeneous batch.

Details

OC_curves_homogeneous provides OC curves for different dilution schemes when samples collected from a homogeneous batch (this section will be updated later on).

Examples

c <- 2
lambda_low <- 0
lambda_high <- 5000
a <- 0
b <- 300
f <- c(0.01,0.1)
u <- c(0.1,0.1)
USL <- 1000
n <- 5
n_sim <- 50000
OC_curves_homogeneous(c, lambda_low, lambda_high, a, b, f, u, USL, n, n_sim)