Three-feature, three-state simulated process data under normal operating conditions as example data for different included functions.
An xts data matrix with 10080 rows and four columns, corresponding to one week worth of data recorded at a 1-minute interval, and four columns as defined here:
state – the state indicator for the multivariate system, with three levels
x : x(t) = t + error
y : y(t) = t ^ 2 - 3t + error
z : z(t) = - t ^ 3 + 3t ^ 2 + error
where t is a 10080-entry vector of autocorrelated and non-stationary hidden process realizations. The states alternate each hour and are defined as follows:
State1 – As presented
State2 – Rotated by (yaw = 0, pitch = 90, roll = 30) and scaled by (1 * x, 0.5 * y , 2 * z).
State3 – Rotated by (yaw = 90, pitch = 0, roll = -30) and scaled by (0.25 * x, 0.1 * y , 0.75 * z).
See the vignette for more details.
Simluated in R.
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