How to average strings and numbers in the same table
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Elizabeth Korthals
il 7 Ott 2021
Commentato: Steven Lord
il 7 Ott 2021
I have a table that looks like this:
filename X Y Item Number
'A1B10' 60 25 'A1B10-0'
'A1B10' 45 21 'A1B10-0'
'A3B10' 70 24 'A3B10-1'
'A3B10' 40 23 'A3B10-2'
'A3B5' 38 21 'A3B5-1'
I want to average all rows that have the exact same "Item Number". However, I am not sure how to do this while preserving the "filename".
In other words, the table would look like this in the end:
filename X Y Item Number
'A1B10' 82.5 23 'A1B10-0'
'A3B10' 70 24 'A3B10-1'
'A3B10' 40 23 'A3B10-2'
'A3B5' 38 21 'A3B5-1'
Any thoughts on how I could approach this?
1 Commento
Image Analyst
il 7 Ott 2021
The first way I'd approach it is to read this link:
and attach your table in a .mat file with the paperclip icon. Or else give us code to build that table. If you make it easy for people to help you, you'll get more and faster answers. We don't have this table -- you do. So please supply it to us so we can try things and give you code.
In the meantime, check out the splitapply(), findgroups(), and groupsummary() functions.
Risposta accettata
Steven Lord
il 7 Ott 2021
Something like this?
filename = {'A1B10'; 'A1B10'; 'A3B10'; 'A3B10'; 'A3B5'};
X = [60; 45; 70; 40; 38];
Y = [25; 21; 24; 23; 21];
itemNumber = {'A1B10-0'; 'A1B10-0'; 'A3B10-1'; 'A3B10-2'; 'A3B5-1'};
T = table(filename, X, Y, itemNumber)
G = groupsummary(T, {'itemNumber', 'filename'}, @mean)
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