How to take the average every 5 data points?

I have a matrix 'GoogleDateClose' that is 251 by 2. The first column is just 1-252 to give a number assigned to each value in column 2. In column 2 I have all the data points. I need to write a script to take the mean of every 5 data points and put the resulting values into another matrix so I am able to plot those values. I feel like I did a poor job of describing what I am trying to get so please let me know if I can clarify.

2 commentaires

Do you mean take every 5th value (5, 10, 15) and then take the mean or take values 1-5 and calculate the mean and then take values 6-10 and calculate the mean
Noah Wilson
Noah Wilson le 18 Sep 2018
Take values 1-5 and take the mean then take values 6-10 and take the mean and so on and so forth.

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Image Analyst
Image Analyst le 18 Sep 2018
251 or 251 is not a multiple of 5. So here it is for 250:
data = [(1:252)', rand(252, 1)] % Create sample data
column2 = data(:, 2);
out = reshape(column2(1:250), [], 5)
means5 = mean(out, 2)

4 commentaires

chris pamp
chris pamp le 10 Sep 2022
when i used it an error occured
Error using reshape
Product of known dimensions, 500, not divisible into total number of elements, 185790.
Is there any other way to perform the same thing for not divisible numbers?
numBlocks = 185790 / 250
numBlocks = 743.1600
numBlocks = 185790 / 251
numBlocks = 740.1992
numBlocks = 185790 / 252
numBlocks = 737.2619
You must have an INTEGER number of blocks, otherwise there are some elements "left over". Why do you not have an integer number of blocks?
How many elements do you want in each block?
chris pamp
chris pamp le 10 Sep 2022
Thank you for your answer. I want 500 elements to each block. To have leftovers is not a problem
Image Analyst
Image Analyst le 10 Sep 2022
Modifié(e) : Image Analyst le 10 Sep 2022
Did you try something obvious like a for loop?
counter = 1;
for k = 1 : 500 : length(yourVector)
k2 = min([k + 499, length(yourVector)]);
theMeans(counter) = mean(yourVector(k : k2));
counter = counter + 1;
end

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