mean value of each row
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ava
el 5 de Feb. de 2012
Comentada: Walter Roberson
el 2 de Sept. de 2021
I have A 500 by 16 matrix and I want to find a mean value of each row and return the result as a 500 by 1.
Does anyone have an idea?
Thank you
2 comentarios
Walter Fanka
el 15 de Jul. de 2018
Editada: Walter Roberson
el 17 de Jul. de 2018
y = yourmatrix;
meanrow_y = mean(y')'
Walter Roberson
el 17 de Jul. de 2018
That should work for 2D arrays like were asked about. However for 3 or more dimensions it would not work and you would need to use a couple of permute() instead. It is a lot easier to just pass in the dimension number like I showed in my Answer.
Respuesta aceptada
Walter Roberson
el 5 de Feb. de 2012
mean(YourMatrix,2)
4 comentarios
Jan
el 15 de Mzo. de 2017
The documentation of mean explains this exhaustively already:
doc mean
The first input is the data, the 2nd the dimension to operate on. Therefore mean(x,2) is the mean over the 2nd dimension, which means the rows.
Amy Gleckl
el 20 de Dic. de 2019
I had a similar issue and this worked perfectly for me, thank you very much!
Más respuestas (2)
sura Naji
el 25 de Oct. de 2019
l have amatrix contact from 1 colum and 1000 rows l want to find the mean and the standard deviation also l want to find the worst value of this because l use the particle swarm optimization
1 comentario
Walter Roberson
el 22 de Dic. de 2019
M = mean(amatrix);
S = std(amatrix);
[~, order] = max(abs(amatrix - M));
furthest_from_mean = amatrix(order(1));
Note that the value that is furthest from the mean will also be the value that is the greatest zscore (furthest deviation)
RAMPUNIT KUMAR
el 2 de Sept. de 2021
RAMPUNIT KUMAR less than a minute ago ⋮ I too have a doubt, like for matrix (a b c d e f g h I j k l m n o p q r) I need to find the mean of a,b then c,d then e,f then g,h and so on upto last element. How could we do that if size is big enough.
1 comentario
Walter Roberson
el 2 de Sept. de 2021
syms a b c d e f g h I j k l m n o p q r
matrix = [a b c d e f g h I j k l m n o p q r]
means = (matrix(1:2:end) + matrix(2:2:end))/2
except that you would use the appropriate numeric values in matrix instead of syms . The syms used here is just for demonstration purposes.
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