Computes the continuous inverse cumulative distribution function (CDF) of the various distributions. You must manually select the polymorphic instance to use.


icon

Inputs/Outputs

  • cdbl.png cdf(x) —

    cdf(x) is the cumulative probability Prob[X ≤ x].

  • ci32.png k1 —

    k1 specifies the number of degrees of freedom of the first chi-squared variate that forms the F variate. k1 must be greater than 0.

  • ci32.png k2 —

    k2 specifies the number of degrees of freedom of the second chi-squared variate that forms the F variate. k2 must be greater than 0.

  • idbl.png x —

    x is the quantile of the continuous random variate with range x is greater than or equal to 0.

  • ii32.png error —

    error returns any error or warning from the VI. You can wire error to the Error Cluster From Error Code VI to convert the error code or warning into an error cluster.

    • The Beta Inverse CDF instance finds the value x such that cdf(x) is the probability that the random variate X, where X describes the selected distribution type, takes on a value less than or equal to it.

    Prob[X ≤ x] = cdf(x)

    Examples

    Refer to the following example files included with LabVIEW.

    • labview\examples\Mathematics\Probability and Statistics\Display Continuous Probability Distributions.vi