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

pd_curves_homogeneous provides the probability of detection curves when samples collected from a homogeneous batch.

pd_curves_homogeneous(lambda_low, lambda_high, a, b, f, u, USL, n_sim)

Arguments

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_sim

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

Value

Probability of detection curves when diluted samples collected from a homogeneous batch.

Details

pd_curves_homogeneous provides probability of detection curves for different dilution schemes when samples collected from a homogeneous batch (this section will be updated later on).

Examples

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_sim <- 50000
pd_curves_homogeneous(lambda_low, lambda_high, a, b, f, u, USL, n_sim)