Description Usage Arguments Value See Also Examples
View source: R/vMask.method2.R
The V-mask method in vMask
Package, is considered on the basis of variety of situations/information by different functions.
One of these functions is vMask.method1
which can plot the V-mask based on μ_0, d and h.
1 |
data |
Type of inputted data must be a matrix with dim=c(m,n), in which m is size of samples and n is size of each subsample. Meanwhile, data can be a numerical vector where its elements are sub-sample means. |
mu0 |
Target value for process mean, with default |
d |
Suppose that O is the latest cumulative sum point (which duty of the V-mask is checking this point), and also P is the junction points of V-mask arms. Now, h is the distance between two points O and P. |
h |
The vertical distance between the origin and the upper (or lower) arm of V-mask. |
sleep |
Sleeping time (in second) of the program between showing figures. This time needs for see the result of checking i-th point on CUSUM control chart by V-mask. Also, if |
theta |
half of the angle formed by the V-mask arms (in degrees). |
c |
A vector of the cumulative differences between statistic (mean) values and the mean target value; i.e. c=(c_1, ..., c_m) where c_i=∑_{j=1}^{i} (\bar{x}_j - μ_0) . |
OutControl |
The number of Out-of-control points in CUSUM chart. |
InControl |
The number of In-control points in CUSUM chart. |
vMask.method1
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | ### Example 1:
m = 15 #The size of samples
n = 4 #The size of each subsample
set.seed(100)
Data = matrix(rnorm(m*n, 2,5), nrow=m)
head(Data)
vMask.method2( data=Data, d=1, h=1, s=0 )
( res <- vMask.method2( data=Data, mu0=2, d=2, h=2, sl=0) )
Data[res$Out,] #Out of control subsamples
### Example 2:
vMask.method2( data=Data, d=1, h=1, s=0 )
vMask.method1( data=Data, d=1, theta=45, s=0 ) #Similar results
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