compare_plans_oc_sd: Comparison based on OC curve with different standard...

In Mayooran1987/grabsampling: Probability of detection for grab sample selection

Comparison based on OC curve with different standard deviations

Description

This function produces overlaid Operating Characteristic (OC) curves for any three systematic/random sampling schemes for specified parameters with different standard deviation vlues.

Usage

compare_plans_oc_sd(c1, c2, c3, r1, t1, r2, t2, r3, t3, sd1, sd2, sd3, distribution, K, m)

Arguments

c1, c2, c3	acceptance numbers
r1, r2, r3	number of primary increments in a grab sample or grab sample size
t1, t2, t3	number of grab samples
sd1, sd2, sd3	standard deviations of the lognormal and Poisson-lognormal distributions on the log10 scale
distribution	what distribution we have used such as 'Poisson gamma' or 'Lognormal'or 'Poisson lognormal'
K	dispersion parameter of the Poisson gamma distribution (default value 0.25)
m	microbiological limit with default value zero, generally expressed as number of microorganisms in specific sample weight

Value

overlaid OC curves

See Also

prob_accept

Examples

c1 <- 0
c2 <- 0
c3 <- 0
r1 <- 25
r2 <- 25
r3 <- 25
t1 <- 30
t2 <- 30
t3 <- 30
sd1 <- 0.2
sd2 <- 0.4
sd3 <- 0.8
distribution <- 'Poisson lognormal'
compare_plans_oc_sd(c1, c2, c3, r1, t1, r2, t2, r3, t3, sd1, sd2, sd3, distribution)

Mayooran1987/grabsampling documentation built on May 5, 2023, 8:12 p.m.