var
- var(X) calculates variance of X. In case X is a matrix, variance is calculated for each column of X. The calculated var is normalized by N-1 where N is the number of observations
- var(X,1) normalizes by N
- var(X,norm,dim) calculates variance with the following conditions:
- norm = 0 (resp. 1), the normalization is done using N-1 (resp. N)
- dim = 1, along columns
- dim = 2, along rows
Examples
> X = [1 -8 9; 3 6 -1]# 1 -8 9 3 6 -1 > var(X) 2 98 50 > var(X,1,2) 48,22222 8,222222