Computes the continuous F cumulative distribution function (CDF) or the probability that an F variate takes on a value less than or equal to the quantile of the variate.
An F variate is the ratio of two chi-squared variates.
Quantile of the continuous random variate.
This input must be equal to or greater than 0.
Default: 0.5
Number of degrees of freedom of the first chi-squared variate that forms the F variate.
This input must be greater than 0.
Default: 1
Number of degrees of freedom of the second chi-squared variate that forms the F variate.
This input must be greater than 0.
Default: 1
Error conditions that occur before this node runs.
The node responds to this input according to standard error behavior.
Standard Error Behavior
Many nodes provide an error in input and an error out output so that the node can respond to and communicate errors that occur while code is running. The value of error in specifies whether an error occurred before the node runs. Most nodes respond to values of error in in a standard, predictable way.
Default: No error
Cumulative probability that the continuous random variate has a value less than or equal to x.
Error information.
The node produces this output according to standard error behavior.
Standard Error Behavior
Many nodes provide an error in input and an error out output so that the node can respond to and communicate errors that occur while code is running. The value of error in specifies whether an error occurred before the node runs. Most nodes respond to values of error in in a standard, predictable way.
The following equation defines the continuous CDF of an F variate.
where
Where This Node Can Run:
Desktop OS: Windows
FPGA: This product does not support FPGA devices