This function is used to update the phase II control chart with new observations.

add.data(datum2, estat, T2II, n, j, m = NULL)

Arguments

datum2

The data set for the phase II. Shoul be a vector.

estat

The values of the auxiliary statistics. Should be a list with a vector with the mean of the mean vectors, a matrix with the average of the variance-covariance matrices and a matrix with the means.

T2II

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

n

The sample size. For individual observations, use n = 1.

j

The index of the current sample.

m

The number of samples in phase I. Only needed if the phase I data set is show on the plot.

Value

Add the new observation to the current Hoteliing control chart for phase II.

Details

To use this function it is necessary to have the output given by the function T2.2. At every step you should entry with the new data set.

See also

T2.2

Examples

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) #Not showing the phase I data set. cchart.T2.2(T2II, 20, 10, 1, 25, 2)
datum3 <- data.2(estat, 10, p = 2) add.data(datum3, estat, T2II, 10, 2)
#Showing the phase I data set. cchart.T2.2(T2II, 20, 10, 1, 25, 2, datum = datum)
datum3 <- data.2(estat, 10, p = 2) add.data(datum3, estat, T2II, 10, 2, 20)
#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) #Not showing the phase I data set. cchart.T2.2(T2II, 50, 1, 1, 25, 2)
datum3 <- data.2(estat, 1, p = 2) add.data(datum3, estat, T2II, 1, 2)
#Showing the phase I data set. cchart.T2.2(T2II, 50, 1, 1, 25, 2, datum = datum)
datum3 <- data.2(estat, 1, p = 2) add.data(datum3, estat, T2II, 1, 2, 50)