Hey all! I'm working on a project in which I have to construct fixation maps on a number of trials in an experiment. In the following piece of code, the various trials are given by condIds.
[conds,condIds] = d.getConds();
myTrials = find(condIds == condIds(2));
map = d.mkSaliencyMap(myTrials);
As you can see there, I can specify the trial I want to construct the map for by specifying the condId. Is there a way to automate the process for all such condIds? Additionally the latter part of the code, saves the map after construction as follows
map_mean = mean(map,3);
Will I be able to construct a map for each condId, save the map_mean under separate .mat files in a loop? Thanks in advance!

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Walter Roberson
Walter Roberson 2021년 6월 5일

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I see. Is there a way I can implement splitapply in the code? I'm still confused as to how exactly I can implement this. Thanks!
[conds,condIds] = d.getConds();
G = findgroups(condIds);
map_results = splitapply(@handle_a_map, d.mkSaliencyMap, G);
where handle_a_map is a function that you write that does whatever is appropriate to your map variable.
Your function can return a cell array if you need to return multiple values.
Thank you again!

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