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Run statistical tests on multiple csvs

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Ross Thompson
Ross Thompson on 20 Apr 2021
Commented: Ross Thompson on 20 Apr 2021
I have lots of days worth of heartrate data stored in seperate csvs and im currently running a ttest on the data 3hrs before and after 12am. I was going to run this manually on all 30 differenent days but i was wondering if there was a way of looping through all the different days to return all the p values at once.
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Rik on 20 Apr 2021
That seems very likely. Once you create file list (e.g. with dir) you should be able to do the processing in a loop.
Do you have a specific question about implementing this?

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Answers (1)

Manash Sahoo
Manash Sahoo on 20 Apr 2021
Edited: Manash Sahoo on 20 Apr 2021
Store your data in a folder, and use the "Dir" command to return the filenames and loop through them.
For example:
% Load your heart rate data. You can get the names of files and folders
% using the "dir" command.
files = dir(strcat(filepath,"\*.csv")) % Filepath would be the path where your csvs are located.
pval = {};
for i = 1:length(files)
HRDat = readmatrix(; % You may need to edit this per your filepath.
% Do your analysis here, and return your pvalue to pval{i}.
Your pvalues in the cell array "pval" will thus correspond to the files in the struct array "". This is usually the way I do things with heart rate data. Let me know if you have any further questions!
EDIT: Fixed the code.
Rik on 20 Apr 2021
That is a very low value: 0.4e-11. You could conclude that all your analyses have a p value of 0.
Otherwise you will have to look at the data you're using each iteration. When you do that, you will notice that you aren't actually using HRDat in the rest of your loop, so each iteration is using the exact same data.

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