Computes the discrete inverse cumulative distribution function (CDF) of a Poisson-distributed variate.
A Poisson-distributed variate takes on discrete, non-negative values and often represents the number of events occurring within a specific time interval.
Cumulative probability that a random variate has a value less than or equal to x.
Default: 0
Average number of events expected to occur within a specific time interval.
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
Number of events.
This output is greater than or equal to 0.
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.
Where This Node Can Run:
Desktop OS: Windows
FPGA: This product does not support FPGA devices