getCC.XBAR | R Documentation |
Obtain a corrected charting constant.
getCC.XBAR(
fap0
,m
,var.est = c('S', 'MR')
,ub.cons = 1
,method = c('exact', 'BA')
,interval = c(1, 5)
,nsim = 10000
,nu = m - 1
,lambda = 1
,verbose = FALSE
)
getCC(
fap0
,m
,var.est = c('S', 'MR')
,ub.cons = 1
,method = c('exact', 'BA')
,interval = c(1, 5)
,nsim = 10000
,nu = m - 1
,lambda = 1
,verbose = FALSE
)
fap0 |
nominal false Alarm Probabilty in Phase 1 |
m |
number of subgroups |
var.est |
'S' - use mean-square-based estimator, 'MR' - use moving-range-based estimator |
ub.cons |
unbiasing constant |
method |
'exact' - calculate results using the exact method, 'BA' - calculate results using the Bonfferoni approximation |
interval |
searching range of charting constants for the exact method |
nsim |
number of simulation for the exact method |
nu |
degrees of freedom for the Bonfferoni approximation |
lambda |
constant for the Bonfferoni approximation |
verbose |
print diagnostic information about fap0 and the charting constant during the simulations for the exact method |
Object type double. The corrected charting constant.
set.seed(12345)
# Calculate the charting constant using 10 simulations and mean-square-based estimator
getCC.XBAR(fap0=0.05, m=20, nsim=10, var.est='S', verbose = TRUE)
# Calculate the charting constant using 10 simulations and moving-range-based estimator
getCC.XBAR(fap0=0.05, m=20, nsim=10, var.est='MR', verbose = TRUE)
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