Builds the phase I Hotelling control chart.
cchart.T2.1(T2, m, n, p)
T2 | The values of the T2 statistic. Shoul be a matrix. |
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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 obsersations, then use n = 1. |
p | The dimension used previously in function data.1. |
Return a control chart.
It builds the Hotelling T2 control chart for multivariate normal data (m samples / samples of size n > 1), used retrospective / validation analysis (phase I); the control limits are based on the F distribution.
Montgomery, D.C.,(2008)."Introduction to Statistical Quality Control". Chapter 11. Wiley
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) T2 <- T2.1(estat, 20, 10) # estat is a list with the auxiliary statistics. T2 is a matrix with the values of the T2 statistic. cchart.T2.1(T2, 20, 10, 2)