| compare_plans {grabsampling} | R Documentation |
Probability of detection or non detection versus fraction nonconforming curve
Description
This function allows comparison of different sampling schemes, which can be systematic and random sampling of primary increments or grab sampling of blocks of primary increments. A graphical display of the probability of detection P_D or probability of non detection P_{ND} versus fraction nonconforming p for up to four selected schemes will be produced.
Usage
compare_plans(d, N, plim, type, c1, r1, t1, method1, c2, r2, t2, method2,
c3, r3, t3, method3, c4, r4, t4, method4)
Arguments
d |
serial correlation of contamination between the primary increments |
N |
length of the production |
plim |
the upper limit for graphing the fraction nonconforming or proportion of contaminated increments |
type |
what type of graph we want to produce such as |
c1, c2, c3, c4 |
acceptance numbers |
r1, r2, r3, r4 |
number of primary increments in a grab sample or grab sample size |
t1, t2, t3, t4 |
number of grab samples |
method1, method2, method3, method4 |
what sampling method we have applied such as |
Value
Probability of detection or non detection vs limiting fraction curves
Examples
c1 <- 0
c2 <- 0
c3 <- 0
c4 <- 0
r1 <- 1
r2 <- 10
r3 <- 30
r4 <- 75
t1 <- 750
t2 <- 75
t3 <- 25
t4 <- 10
d <- 0.99
N <- 1e9
method1 <- method2 <- method3 <- method4 <- 'systematic'
plim <- 0.10
compare_plans(d, N, plim, type ='D', c1, r1, t1, method1, c2, r2, t2, method2)
compare_plans(d, N, plim, type ='D', c1, r1, t1, method1, c2, r2, t2, method2,
c3, r3, t3, method3)
compare_plans(d, N, plim, type ='D', c1, r1, t1, method1, c2, r2, t2, method2,
c3, r3, t3, method3, c4, r4, t4, method4)
compare_plans(d, N, plim, type ='ND', c1, r1, t1, method1, c2, r2, t2, method2,
c3, r3, t3, method3, c4, r4, t4, method4)