Description Usage Arguments Value Author(s) References Examples

Computes a MEWMA using the method of Lowry, Woodall, Champ and Rigdon. The number of variables p must be between 2 and 10, r is fixed at .1

1 |

`X` |
input - this is a matrix or data frame containing the multivariate data. One line for each observation and one column for each variable or quality characteristic being monitored. |

`Sigma` |
input this is the known (or estimate from a Phase I study) covariance matrix of the variables |

`mu` |
input this is the known (or estimate from a Phase I study) mean vector of the variables |

`Sigma.known` |
input this is a logical variable, if TRUE, Sigma, and mu must be supplied, if FALSE the function will estimate them from the data in X |

returned list containing the upper control limit, the covariance matrix and the mean vector.

John Lawson

Lowry, Woodall, Champ and Rigdon(1992)<https://www.tandfonline.com/doi/abs/10.1080/00401706.1992.10485232.>

1 2 3 4 5 6 7 8 |

```
Registered S3 method overwritten by 'DoE.base':
method from
factorize.factor conf.design
$name
[1] "UCL="
$value
[1] 8.66
$name
[1] "Covariance matrix="
$value
[,1] [,2]
[1,] 1.0 0.5
[2,] 0.5 1.0
$name
[1] "mean vector"
$value
[1] 0 0
$name
[1] "UCL="
$value
[1] 8.66
$name
[1] "Covariance matrix="
$value
x1 x2
x1 1.1352444 0.3797667
x2 0.3797667 1.1642933
$name
[1] "mean vector"
$value
x1 x2
0.260 1.124
$name
[1] "UCL="
$value
[1] 8.66
$name
[1] "Covariance matrix="
$value
[,1] [,2]
[1,] 1.16893 -0.32430
[2,] -0.32430 1.16893
$name
[1] "mean vector"
$value
[1] -0.314 0.320
```

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.