Cov variance function - how to reduce size of matrix

Hi,

does anyone know how to go from a 5x25 matrix to a 5x10 matrix using the covariance cov function? Like how do you code this on matlab?

TIA

[Ive J]

Your question is not clear whatsoever! maybe explain with an example?

[scientist121]

Okay so i have the 5x25 matrix of X where x=[A: B; C; D;E]

A = [2 4 6 8 10 12 14 16 18 20 22 24 26 28 30 32 34 36 38 40 42 44 46 48 50];

B = [3 6 9 12 15 18 21 24 27 30 33 36 39 42 45 48 51 54 57 60 63 66 69 72 75];

C = [1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25];

D = [1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 35 36 38 39 30 35 37 39 41];

E = [ 1 5 7 9 2 35 7 9 0 6 7 9 1 3 4 5 8 9 2 0 3 8 3 7 4]

How would i use these vectors from the 5x25 matrix and find the co variance of this? Using the cov function to give a 5x10 matrix?

So far i have tried cov(X) and this is giving a 25x25 matrix so i am doing something wrong here...?

[Jan]

Why do you expect a 5x10 matrix? The covariance is mathematically defined and the givenoutput is the expected one.