How to find average and standard deviation in a for loop?

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I have a mat file with 70 rows and 11 columns (see the attached). I want to find the mean and standard deviation row-wise with an averaging window of 5. I expected my outcome's dimension as 14x11. As an output, I want to export it as an excel file, where the mean values are 14x11, and the standard deviation is placed next to the mean. I also wanted to add a row in the first row as x, where my x = 0:10:100. For your reference, I have attached the output file. I have written the following code. However, I get it as 14x1, and I understand that the mean is done for 5 rows and 11 columns, but I could not figure it out to fix the issue. May I request you to help me?
avaregedwindow = 5;
[m,n] = size(data_sweep);
k = floor(m/avaregedwindow);
for i = 1: k
p = avaregedwindow*i -(avaregedwindow-1);
y = data_sweep(p:p+(avaregedwindow-1));
mean_y(i, :)= mean(y); %the mistake is here, I guess
sd_y(i, :) = std(y);
end
x = 0:10:100;
meanvalues = vertcat(x, mean_y); % gives error as the dimension does not match
stdvalues = vertcat(x, sd_y); % gives error as the dimension does not match
merge = [mean values, stdvalues];
filename = 'output.xlsx';
writetable(filename, 'merge')

采纳的回答

Arif Hoq
Arif Hoq 2022-2-25
编辑:Arif Hoq 2022-2-25
you can store your data in a cell array. just export the date in excel using range. and you are indexing upto k=14. but you have k*col =154 data.
A=load('matlab1.mat');
data_sweep=A.data_sweep;
avgwin = 5;
[row col]=size(data_sweep);
N = size(data_sweep,1);
k = floor(N/avgwin);
C=cell(floor(N/avgwin),size(data_sweep,2));
C1=cell(floor(N/avgwin),size(data_sweep,2));
for i = 1: k*col
p = avgwin*i -(avgwin-1);
y= data_sweep(p:p+(avgwin-1));
C{i}= mean(y); %the mistake is here, I guess
C1{i} = std(y);
end
matrix=[C{:}];
mean_y=reshape(matrix,14,11);
matrix1=[C1{:}];
sd_y=reshape(matrix1,14,11);
x = (0:10:100);
Mean_Data=[x;mean_y];
Sd_Data=[x;sd_y];
writematrix(Mean_Data,'M.xls','Sheet',1,'Range','A1:K20')
writematrix(Sd_Data,'M.xls','Sheet',1,'Range','M1:W20')
  3 个评论
Anu
Anu 2022-2-25
Thanks so much, @Arif Hoq! The reshape one looks more simple. Thanks for your suggestion.

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