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how to store an output in a function (or bring out the stored output into the workspace) for n-number of model run

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Jung
Jung on 25 Oct 2019
Commented: Ken Atwell on 29 Oct 2019
I have a hydrological model which runs N number of times to calibrate the parameters.
For each model run, I have a following function where it grabs the modeled simulated output, as well as, NSE output for that run.
function [SimRR, NSE]=HYPE(x)
SimRR = dlmread('output.txt','\t','I2..I100');
NSE_num = importdata('subbasin2.txt','\t');
NSE=NSE_num.data([2]); %NSE value is located in the second spot
end
Everything runs fine. Here, I'd like to store each NSE value for N number of times. (eg. if I'm running the model 3000 times, then I would be having 3000 NSE values stored in an array).
I tried using 'assignin' to bring the value to the base and it only stores NSE value of the last run. If there is a way to store an output generated from a function, please let me know.
If you have any further questions, feel free to comment and I'll provide you with more details.

Answers (1)

Ken Atwell
Ken Atwell on 29 Oct 2019
Assuming NSE is a scalar double (that is, a single number), When you call HYPE, you can append the NSE result to an (intially empty) vector:
NSE=[];
for i=1:3000
% ...
[SimRR, NSE(end+1)]=HYPE(x);
end
% NSE should be length 3000
  2 Comments
Ken Atwell
Ken Atwell on 29 Oct 2019
You can using a persistent variable who's value will "survive" across calls to the function. That said, preserving state inside a function is considered bad form -- very nearly a global variable -- that is best avoided if you can.

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