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.

  • cdbl.png mean —

    mean specifies the value of the center of the normal distribution. The default is 0.

  • cdbl.png standard deviation —

    standard deviation specifies the standard deviation value of the normal distribution. The default is 1.

  • cerrcodeclst.png error in (no error) —

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

  • ci32.png seed —

    seed specifies the seed of the noise sample generator. Seeds with different values greater than 0 generate different noise sequences. Values less than 0 cause reseeding each time this VI runs. The default is -1.

  • imsdt.png Xt —

    Xt returns the random univariate 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