TSA F Distribution (Waveform) VI
- Updated2024-07-30
- 2 minute(s) read
Generates a pseudorandom univariate or multivariate (vector) time series from different types of distribution. You must manually select the polymorphic instance to use.

Inputs/Outputs
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.
numerator degrees of freedom
—
numerator degrees of freedom specifies the degrees of freedom of the numerator this VI uses to define the F distribution.
denominator degrees of freedom
—
denominator degrees of freedom specifies the degrees of freedom of the denominator this VI uses to define the F distribution.
error in (no error)
—
error in describes error conditions that occur before this node runs. This input provides standard error in functionality.
Xt
—
Xt returns the random univariate time series.
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
samples
—
error in (no error)
—
Xt
—
error out
—