This example shows how to automatically generate a MATLAB function to solve a Sensitivity Analysis statistics problem. You use Sensitivity Analysis tool to define a sensitivity statistics problem for a model of the body's vestibulo-ocular reflex, and generate MATLAB code to solve this statistics problem.
The Identify Key Parameters for Estimation (GUI) example shows how to use Sensitivity Analysis tool to compute sensitivity statistics for different parameter values in a model of the body's vestibulo-ocular reflex. In this example, we load a preconfigured Sensitivity Analysis tool session based on that example.
Open Sensitivity Analysis tool for the sdoVOR model:
In Sensitivity Analysis tool, click Open Session and
Open from model workspace. Open session
This opens a preconfigured session in Sensitivity Analysis tool.
From the Compute Statistics list, select
Generate MATLAB Function.
The generated code is added to the MATLAB editor as an unsaved MATLAB function.
Examine the generated code. Significant portions are:
Statistics Analysis Variables - Specify the inputs and outputs, to determine which inputs have the most influence on outputs.
Statistics Options - Specify the types of analyses to be computed.
Compute Statistics - Solve the sensitivity statistics problem using the sdo.analyze command.
Select Save from the MATLAB editor to save the generated function.
Run the generated function.
The computation shows the result of analyzing which inputs have the most influence on the output. For example, the
Correlation field shows that the
Gain parameter has the largest magnitude correlation with the output, and in a negative direction, meaning that when Gain increases, the output decreases.
Modify the specified input and output variables.
Modify the options to change the types of analyses computed.