How do I compute the correlation between corresponding rows of two matrices?
30 Ansichten (letzte 30 Tage)
Ältere Kommentare anzeigen
Michael Wolf
am 11 Mai 2018
Kommentiert: Michael Wolf
am 11 Mai 2018
I have two matrices, X and Y, which each have 60 columns and 10,000 rows.
I would like to create a vector R, such that the nth value of vector R represents the correlation between row n of matrix X and row n of matrix Y.
I have tried:
[R,pval] = corr(X',Y');
but this gives me R as a 10,000-by-10,000 matrix.
What am I doing wrong?
0 Kommentare
Akzeptierte Antwort
possibility
am 11 Mai 2018
X is 10,000-by-60 Y is 10,000-by-60
X' is 60-by-10,000 Y' is 60-by-10,000
By correlating these two matrices, i.e. R=corr(X', Y'), you get the 10,000-by-10,000 R matrix whose elements are the pairwise correlation of each column of X' and Y', that is each row of X and Y.
So, you are doing the right thing! Just check the diagonals of that matrix:
>> Rvec= diag (R)
Weitere Antworten (2)
Shounak Shastri
am 11 Mai 2018
From what I know, Correlation Matrices are usually square. As in you have 10000 rows with 60 elements in each row. So if you take 1 row of dimension 1 x 60, the dimension of your corr matrix would be 60 x 60.
But in your example, you took a transpose. So, now the size of each row is 1 x 10000. And thus when you perform correlation on the rows, you would get a 10000 x 10000 matrix.
Siehe auch
Kategorien
Mehr zu Logical finden Sie in Help Center und File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!