Simulation decomposition: Difference between revisions

Revision as of 09:25, 9 September 2023

Revision as of 10:05, 9 September 2023

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# '''Assign scenarios to each output value'''. The simulation data is used to define the scenario index for each simulation run. For example, if an X2 value falls into the low state and X3 is equal to 2, the corresponding scenario, defined in Step 3, is (ii).

# '''Color-code the output distribution'''. When all output values are assigned scenario indices, they are plotted as series in a stacked histogram, visually separated by color-coding. For ease of visual perception, the states of the most influential input variable are assigned distinct colors, and all the remaining partitions take shades of those colors (see Figure).

All of these steps can be run automatically on the given data using the open-source SimDec packages currently available in Python, R, Julia, and Matlab.<ref name="Software">Simulation Decomposition GitHub https://github.com/Simulation-Decomposition </ref>. A SimDec template in Excel runs a Monte Carlo simulation of a spreadsheet model but possesses only a manual option for input selection.

== How to read SimDec==