A =
1 2 0
2 3 0
mean(A) = 1.5000 2.5000 0 % Mean of each column
mean(A, 2) = % Mean of each row
1.0000
1.6667
Variance
- V = var(X) returns
- for matrices: a row vector containing the variance of each column of X.
- V = var(X,w,dim)
Pass in 0 for w to use the default normalization by N-1, or 1 to use N.
The variance is the square of the standard deviation (STD)
Example:
A =
1 2 0
2 3 0
var(A) =
0.5000 0.5000 0 % variance of columns
var(A, 0, 2) = % variance of rows
1.0000
2.3333
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