Beta Function (Incomplete Beta Function) (G Dataflow)

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Last Modified: June 25, 2019

Evaluates the regularized incomplete beta function.

x

The first argument of the beta function. x must be nonnegative.

Default: 0

y

The second argument of the beta function. y must be nonnegative.

Default: 0

a

The upper limit of the regularized incomplete beta integral. a is a real number between 0 and 1.

Default: 1

error in

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.

error in does not contain an error	error in contains an error

If no error occurred before the node runs, the node begins execution normally. If no error occurs while the node runs, it returns no error. If an error does occur while the node runs, it returns that error information as error out.	If an error occurred before the node runs, the node does not execute. Instead, it returns the error in value as error out.

Default: No error

b(x, y, a)

The result of the regularized incomplete beta function for the given values of x, y, and a.

error out

Error information.

The node produces this output according to standard error behavior.

Standard Error Behavior

error in does not contain an error	error in contains an error

If no error occurred before the node runs, the node begins execution normally. If no error occurs while the node runs, it returns no error. If an error does occur while the node runs, it returns that error information as error out.	If an error occurred before the node runs, the node does not execute. Instead, it returns the error in value as error out.

Algorithm for Evaluating the Regularized Incomplete Beta Function

The following equation defines the regularized incomplete beta function.

I_{a} (x, y, a) = \frac{1}{β (x, y)} \int_{0}^{a} t^{x - 1} {(1 - t)}^{y - 1} d t

The following intervals for the input values define the function.

a \in [0, 1], x, y \in [0, \infty)

For any real nonnegative value of upper limit $a \leq 1$ , the function is defined for all real nonnegative values of x and y.

Where This Node Can Run:

Desktop OS: Windows

FPGA: Not supported

Web Server: Not supported in VIs that run in a web application

Table Of Contents

x

y

a

error in

b(x, y, a)

error out

Algorithm for Evaluating the Regularized Incomplete Beta Function

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