Simbiology createSimFunction data access
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Mohammad Jafarnejad
on 21 Apr 2021
Answered: Priya Moorthy
on 5 Nov 2021
I am using createSimFunction to run many scenarios. The results come out in an array of simData. How can I efficiently access one of the output observables (e.g. species of interest) from each of the simData results to plot the ranges or confidence intervals from these many scenarios?
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Jeremy Huard
on 21 Apr 2021
Edited: Jeremy Huard
on 21 Apr 2021
Hi Mohammad,
Alternatively, you can use the attached function to generate a percentile plot for one of more states of your simData array:
sbioplotscan(simdataObj,"Name",["Receptor","Complex"],"Alpha",0.05)
or starting R2021a
sbioplotscan(simdataObj,Name=["Receptor","Complex"],Alpha=0.05)
For Alpha=0.05, the plot will display the median as well as a an area between the 2.5 and 97.5 percentiles.
Disclaimer: This function is a helper function I wrote for my personal use. It has not been thoroughly tested and is provided as is.
I hope this helps.
Best,
Jérémy
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Jeremy Huard
on 22 Apr 2021
Hi Mohammad,
I see what you mean now. You are right, DataNames are not necessarily unique. However, the DataInfo property contains information about the compartment that contains about the species. In my original code, I was only looking in DataNames. I have now updated the function and uploaded the updated version in my original answer.
Best,
Jérémy
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Priya Moorthy
on 5 Nov 2021
Mohammad,
The SimBiology Model Analyzer app introduced the percentile plot type in R2021b. You can use this plot type to visualize how summary statistics (percentiles, mean, standard deviation, min/max) for a set of timecourses (simulations from a scan or experimental data from imported datasets) change over time.
This new plot type is documented here:
Best,
Priya
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