Generates a pseudorandom univariate or multivariate (vector) time series from different types of distribution. You must manually select the polymorphic instance to use.


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Inputs/Outputs

  • ci32.png samples —

    samples specifies the number of samples of the generated time series Xt. The value must be greater than or equal to 0. The default is 1024.

  • c1ddbl.png mean —

    mean specifies the mean values this VI uses to define the center of the multivariate normal distribution.

  • c2ddbl.png covariance —

    covariance specifies the covariance matrix this VI uses to define the multivariate (vector) normal distribution. This matrix must be symmetric.

  • cerrcodeclst.png error in (no error) —

    error in describes error conditions that occur before this node runs. This input provides standard error in functionality.

  • i1dmsdt.png Xt —

    Xt returns the random multivariate (vector) time series.

  • ierrcodeclst.png error out —

    error out contains error information. This output provides standard error out functionality.

    • TSA Random Sequence Generation Details

    This VI generates a pseudorandom sequence from different distributions, such as the normal, uniform, chi-square, t, and F distributions.

    Examples

    Refer to the following VIs for examples of using the TSA Random Sequence Generation VI:

    • Random Series Generate VI: labview\examples\Time Series Analysis\TSAGettingStarted
    • Series Statistical Analysis VI: labview\examples\Time Series Analysis\TSAGettingStarted