Hi, I have many text files about 16574, I need to import them to matlab and calculate the average of each files.

2 Kommentare

Jan
Jan am 22 Feb. 2017
What is your question? What have you tried so far?
dbmn
dbmn am 22 Feb. 2017
I suggest using the following functions.
1. Files=dir(fullfile(pwd,'*.txt'));
2. for j=1:1:numel(Files)
3. textread / fscanf / csvread
4. mean()
and if you get stuck, ask again :)

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Antworten (2)

dpb
dpb am 22 Feb. 2017

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May find following of interest... Filefun: Apply a function to files

2 Kommentare

malihe keykhai
malihe keykhai am 23 Feb. 2017
thanks for your help. I couldn't solve my problem. I write your answer in this way : Files=dir(fullfile(pwd,'*.txt')); for j=1:1:numel(Files) csvread('Files') mean(Files) end but it doesn't work. I don't know how can export mean of each file in one text files.
Jan
Jan am 23 Feb. 2017
@malihe keykhai: Thanks for posting, what you have done so far. The code contains some problems: "csvread('Files')" tries to read the file names 'Files'. mean(Files) tries to calculate the average of the struct Files created by the dir() command, and this must fail. See my answer.

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Jan
Jan am 23 Feb. 2017

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Folder = pwd:
Files = dir(fullfile(Folder, '*.txt'));
Result = cell(1, numel(Files));
for j = 1:numel(Files)
aFile = fullfile(Folder, Files(j).name);
Data = csvread(aFile);
Result{j} = mean(Data, 1);
end
The question remains, what "average of each files" exactly mean. Here the mean() along the first dimension is calculated and stored in a cell. But perhaps you want something else.

2 Kommentare

malihe keykhai
malihe keykhai am 23 Feb. 2017
Thanks it works. each file contain temperature for long time and I need average of them. Would you please guide me, I want result, each cell which fill by average of file show me related to which file. Thanks
Jan
Jan am 23 Feb. 2017
I do not understand your question. My current code creates a cell, which contains the vector with the mean of each file: Result{k} contains the mean of Files(k).name. Is this what you need?

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am 22 Feb. 2017

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Jan
am 23 Feb. 2017

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