Nothing
vMask.method6 <-
function(
data, #Type of inputed data must be a matrix with dim=c(m,n)
mu0 = mean(data), #Target value for process mean, with defult mean(data)
mu1, #The althernative hypothesis H1: mu = mu1 (mu1=mu0+k*sigma)
sigma = sd(data), #Supposed fixed (i.e. the process variation is assumed under control) and its defult is sd(data)
h = 5*sd(data), #with defult 5*sigma and it is "The length of decision making" and usully is in [4.5*sigma, 5*sigma].
w = 2*sd(data), #The ration of vertical unit into horisonal unit in CUSUM plot, with defult 2*sigma (this defoult couses theta is approximately 14 degrees).
sleep = 1 #Sleep time (in secound)
){
k = (mu1-mu0) / sigma
d = h/k
theta = atan( k/w )
theta = rad2deg(theta)
result <- vMask.method4(data, mu0, k, h, w, sleep)
return( list(
d = d,
k = k,
theta = theta,
c = result$c,
OutControl = result$OutControl, #Out-Control subsamples
InControl = result$InControl #In-Control subsamples
)
)
}
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