How replace the duplicated row by the mean

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Hi,
I have below data:
1.3
1.5
1.6
1.7
1.7
2.2
2.8
2.8
I want to find the row index of duplicate values (row4 & row5, row row7& row8) and replace these row by mean 1. row4&row5 replace by the average of them, similarly row7&row8
the final output is:
1.3
1.5
1.6
1.7
2.2
2.8
  2 Comments
Guillaume
Guillaume on 18 Sep 2017
The mean of identical values is the same value. So isn't what you're after simply:
unique(yourvector, 'stable')

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Accepted Answer

Guillaume
Guillaume on 18 Sep 2017
Assuming that there is more to your question, and that your input is actually a matrix where one of the column has got the indexing values you mention:
[~, ~, group] = unique(yourmatrix(:, idcolumn), 'stable');
newmatrix = splitapply(@(rows) mean(rows, 1), yourmatrix, group)
  9 Comments
Guillaume
Guillaume on 20 Sep 2017
Looks like unique didn't have the 'stable' option in 2010. Just remove it. The only difference is that your output matrix will be sorted according to your ID column. If that column is already sorted, it makes no difference.
Mekala balaji
Mekala balaji on 20 Sep 2017
Thanks, Sir, I tried in 2015 version and it works.

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