Three-feature, three-state simulated process data under normal operating conditions as example data for different included functions.

`normal_switch_xts`

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.

Simulated in R.