Input Boolean value port that signals an update of input data and stream parameter specifications. The new specifications are pulled from the InStreamPolicy or InDataPolicy ports (or both) if these ports are connected. A false Boolean value is ignored.

Input string value port from which the new stream parameter specifications are pulled after an update signal is received. The format for specifying the value for the Theoretical data streams is as follows:
class==dataStreamClass;attribute1==attribute1Value;...;attributeN==attributeNValue;Random Stream Seed==seedValue
where:

For example, possible values for a string input value might be as follows:

If you want to keep the same distribution but alter one or more parameter settings for the distribution, you only need to supply the information that is required for the parameter that you want to change. For example, if you are using a normal distribution and you want to change the mean value that is associated with the distribution, possible values for the string input value might be as follows:

The format for specifying the value for the Data Driven data streams is as follows:
Lazy Loading==BooleanValue;Random Stream Seed==seedValue
where:

Output number port for the numeric values to be pulled.

Input string value port from which the new input data specifications are pulled after an update signal is received. This port is available only for the Data Driven data streams. The format for specifying the value is as follows:
attribute1==attribute1Value;attribute2==attribute2Value;...;attributeN==attributeNValue
where:

For example, possible values for a string input value for the Discrete Empirical Data Driven Type might be as follows:

From the list, select the distribution to sample from. The Parameters section will be updated to reflect the distribution.

This area provides fields for modifying the parameter values associated with the selected distribution. Each distribution has a Random Stream Seed entry field. Although Simulation Studio automatically assigns a different seed for each source of randomness, you can use this field to specify the seed value. Valid values for this field are integers in the range of 0 to the Java Long.MAX_VALUE.

This option can be used to reset the random substream for the current replication during a simulation run. If selected, this option resets the random substream back to the beginning when a true Boolean value is received at the InUpdate port. By default, this option is not selected.

This area provides fields to specify the file path of input SAS data set or JMP data table and the variable (column) name for distribution fitting. Click Fit Distribution to send the fitting request to the JMP program to perform the fitting. If you do not provide the file path or variable name, you can provide these directly using the JMP user interface before the fitting operation proceeds. The fitting results can be sent back from the JMP program to update the rest of the dialog box contents, including the associated distribution Type and Stream Parameters controls described below. You can also use these controls to edit the parameters.

From the list, select the distribution to sample from. The Parameters section will be updated to reflect the distribution.

This area provides fields for displaying and modifying the parameter values associated with the selected distribution. Each distribution has a Random Stream Seed entry field. Although Simulation Studio automatically assigns a different seed for each source of randomness, you can use this field to specify the seed value. Valid values for this field are integers in the range of 0 to the Java Long.MAX_VALUE.

This option can be used to reset the random substream for the current replication during a simulation run. If selected, this option resets the random substream back to the beginning when a true Boolean value is received at the InUpdate port. By default, this option is not selected.

From the list, select the distribution or data stream to sample from. The following Input Data and Stream Parameters section will be updated to reflect the selection.

This area provides fields to specify the file path of an input SAS data set or JMP data table and the variable or column names. The Load from Remote SAS Workspace Server checkbox indicates that the input SAS data set file is to be loaded from the remote SAS Workspace Server host specified in the Configuration dialog box.

This area provides fields for modifying the parameter values that are associated with the selected distribution or data stream. The Discrete Empirical, Empirical, NHPP Count, and NHPP Rate type have a Random Stream Seed entry field. Although Simulation Studio automatically assigns a different seed for each source of randomness, you can use this field to specify the seed value. Valid values for this field are integers in the range of 0 to the Java Long.MAX_VALUE.

All Data Driven types have the Lazy Loading Boolean field. If the Lazy Loading field is false, the input data set file has to be loaded at the start of simulation. Otherwise, the data file is loaded only when its contents are needed during simulation.

For the SAS Data Column type value, this option resets the current data set back to the first observation when a true Boolean value is received at the InUpdate port. If the InDataPolicy port is also connected and a new data set is specified, then the new data set starts at the beginning with the first observation if the Reset Sampling at Update option is selected. For the Discrete Empirical, Empirical, NHPP Count, and NHPP Rate type values, this option, if selected, resets the random substream for the current replication back to the beginning when a true Boolean value is received at the InUpdate port.

DataStreamDescription(text), InputDataPolicy(text), ResetStreamAtUpdate(Boolean)
When the Theoretical option is selected, the format for specifying the value of the DataStreamDescription factor is as follows:
class==dataStreamClass;attribute1==attribute1Value;...;attributeN==attributeNValue;Random Stream Seed==seedValue
where:

For example, possible values for a DataStreamDescription factor might be as follows:

If you want to keep the same distribution but alter one or more parameter settings for the distribution, you only need to supply the information that is required for the parameter that you want to change. For example, if you are using an exponential distribution and you want to change the mean value associated with the distribution, possible values for the DataStreamDescription factor might be as follows:

When the Data Driven option is selected, the format for specifying the value of the DataStreamDescription factor is as follows:
Lazy Loading==BooleanValue;Random Stream Seed==seedValue
where:

When the Data Driven option is selected, the format for specifying the value of the InputDataPolicy factor is as follows:
attribute1==attribute1Value;attribute2==attribute2Value;...;attributeN==attributeNValue
where:

For example, possible values for the InputDataPolicy factor for the SAS Data Column Data Driven type might be as follows:

None