Builds the sub group phase II Hotelling control chart.

1 |

`T2II` |
A vector with the value of T2 statistic for one sample. |

`m` |
The number of samples generated previously in data.1. |

`n` |
The size of each sample used previously in data.1. If they are individual observations, use n = 1. |

`j` |
The index of the current sample. |

`t` |
The maximum value of the x axis. |

`p` |
The dimension used previously in function data.1. |

For showing the phase I data set in the plot, one of the arguments below must be used (only one of them is necessary).

`datum` |
The data set used in phase I. |

`stats` |
The auxiliary statistics created by the function stats. |

`T2` |
The Hotelling T2 statistic for multivariate observations at phase I created by the function T2.1. |

It builds the Hotelling T2 control chart for multivariate normal data to be used in the operational phase (known as phase II); the control limits are based on the F distribution.

Return a control chart.

Daniela R. Recchia, Emanuel P. Barbosa

Montgomery, D.C.,(2008). "Introduction to Statistical Quality Control". Chapter 11. Wiley

cchart.T2.1

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | ```
mu <- c(5.682, 88.22)
Sigma <- symMatrix(c(3.770, -5.495, 13.53), 2)
datum <- data.1(20, 10, mu, Sigma)
estat <- stats(datum, 20, 10, 2)
datum2 <- data.2(estat, 10, p = 2)
T2II <- T2.2(datum2, estat, 10)
# For the first sample j = 1. T2II is a vector with the value of the firts T2 statistic.
cchart.T2.2(T2II, 20, 10, 1, 25, 2)
# Same of the above, but now showing the phase I data set.
cchart.T2.2(T2II, 20, 10, 1, 25, 2, datum = datum)
#Example with individual observations
datum <- data.1(50, 1, mu, Sigma)
estat <- stats(datum, 50, 1, 2)
datum2 <- data.2(estat, 1, p = 2)
T2II <- T2.2(datum2, estat, 1)
# For the first sample j = 1. T2II is a vector with the value of the firts T2 statistic.
cchart.T2.2(T2II, 50, 1, 1, 25, 2)
# Same of the above, but now showing the phase I data set.
cchart.T2.2(T2II, 50, 1, 1, 25, 2, datum = datum)
``` |

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