Monthly Average for Large Dataset

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Tiffany de klerk
Tiffany de klerk on 29 Jul 2015
Commented: Rodney Dwyer on 19 Jan 2016
Hello I am looking to calculate the monthly mean, max and min of a very large dataset. The data set includes 8 readings every day for 15 years so the dataset is huge.
I then need to calculate the monthly mean, min and max for every January, February March etc month over the 15 year period. How would I do this? Each month obviously has a different number of days so how would I take this into consideration? Attached is a picture of the layout of the data to give you an idea of what the dataset looks like. The highlighted column is what I am looking at.

Answers (7)

Andrei Bobrov
Andrei Bobrov on 29 Jul 2015
f = fopen('NG1_all_wav');
c = textscan(f,['%s',repmat(' %f',1,15)],'CollectOutput',1);
fclose(f);
[a,~,c1] = unique(c{2}(:,1:2),'rows');
c2 = accumarray(c1,c{2}(:,5),[],@(ii){[min(ii),max(ii),mean(ii)]});
out = [a,cat(1,c2{:})];

Azzi Abdelmalek
Azzi Abdelmalek on 29 Jul 2015
If your text file looks like
2000 02 01 1001 25 25
2000 02 01 2310 45 46
2000 03 02 1121 33 36
2000 03 02 1141 33 36
2000 03 02 1151 33 36
2001 02 05 1452 47 85
2001 02 05 1442 470 805
2001 02 05 1422 407 8005
fid=fopen('file.txt')
out=textscan(fid,'%s')
fclose(fid)
a=reshape(out{:},6,[])'
b=str2double(a(:,1:2))
data=str2double(a(:,5:6))
[ii,jj,kk]=unique(b,'rows')
c=accumarray(kk,(1:numel(kk))',[],@(x) {mean(data(x,:))})
out=[a(jj,1:2) num2cell(cell2mat(c))]
  1 Comment
Rodney Dwyer
Rodney Dwyer on 19 Jan 2016
What if my file is in a excel file and not text file?

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Muhammad Usman Saleem
Muhammad Usman Saleem on 29 Jul 2015
Hint: make a function that read text file and calculate statistics.

Peter Perkins
Peter Perkins on 30 Jul 2015
Hard to tell if that file is space- or tab-delimited, and if that's the top of the file, or what. It helps to provide more precise information, preferable a small example of your data file. So you may need to adjust the followng for another delimiter, or whatever. In any case, read your data into a table, and do a grouped calculation using varfun:
t = readtable('yourdata.txt','delimiter','\t','ReadVariableNames',false);
t.Properties.VariableNames(2:5) = {'Year' 'Month' 'Day' 'TimeOfDay'};
monthlyMeans = varfun(@mean,t,'GroupingVariables',{'Year' 'Month'},'InputVariables',6);
Hope this helps.

Tiffany de klerk
Tiffany de klerk on 6 Aug 2015
Edited: Tiffany de klerk on 6 Aug 2015
Hi all Im sorry I was not specific enough. I have however resolved the issue of reading in the dates correctly. I have separated the data for convenience into a 53236x3 matrix (double) with the serial date in the first column (year, month, day) the time in the second column and HMO (significant wave height) in the 3rd.
I have done some calcs thankfully and got some results but I still require a method of calculating the mean of every January, every February, every March and so on over the entire data series that spans around 15 odd years.
The new 53236x3 matrix is called 'NG1allwavdataonlyCopy'.
Thank you for your help. Ive attached a picture of what I am aiming to create.

Walter Roberson
Walter Roberson on 6 Aug 2015
dv = datevec(YourMatrix(:,1));
monidx = dv(:,1) * 12 + dv(:,2);
[unique_monidx, ~, rel_monidx] = unique(monid);
mean_by_month = accumarray(rel_monidx, YourMatrix(:,3), [], @mean);
uyear = floor(unique_monidx / 12);
umon = mod(unique_monidx, 12);
output_table = [uyear, umon, mean_by_month];
  5 Comments
Walter Roberson
Walter Roberson on 12 Aug 2015
Leave out the dv = datevec and use
monidx = YourMatrix(:,3); %if that is the column with the month number
Walter Roberson
Walter Roberson on 12 Aug 2015
Wait, the dv = datevec(YourMatrix(:,1)); solution was in response to you saying that you had a matrix with the serial date number in the first column. Is that not the case?

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Tiffany de klerk
Tiffany de klerk on 8 Aug 2015
This is what I am trying to achieve
  3 Comments
Tiffany de klerk
Tiffany de klerk on 9 Aug 2015
Edited: Tiffany de klerk on 9 Aug 2015
Azzi no this is a comment to try demonstrate what I am looking to achieve with the data to clarify what I need help with. This graph is from another document.
Azzi Abdelmalek
Azzi Abdelmalek on 12 Aug 2015
Ok, then delete this answer, and post a comment by clicking on comment on this answer

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