I've started working with a lot of data (6000 MatLab files) which contains information about neural connections within different regions of the brain. Each MatLab file has three matrices (thick0, thick1, and thick2), and my primary goal was to extract all matrices from the given 6000 MatLab files (ten subjects, three scans, two scan types, and hundred gamma values / 10*3*2*100 = 6000).
After extracting the data, in order to organize the data, I used MatLab to code a function that would extract all data pairs and calculate the mean zrand value. Since there are about 2500 data pairs within one data, and since the function had to run for at least 300 MatLab data to study one subject, it took about 12~24 hours to get one result. In order to shorten the time, I ended up just using 20 random data pairs out of 2500.
Ultimately, I was able to make boxplots using the data. Each boxplot has 8 subjects across the x-axis and 3 scan mean values across the y axis. As a whole, there are 300 boxplots for 3 thickness (0,1 and 2) and 100 gamma values (0.1 ~1).
The figure below is a part of 3 X 100 boxplots that I've made.
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