If x is a vector, compute the standard deviation of the elements of x.
std (x) = sqrt (sumsq (x - mean (x)) / (n - 1))If x is a matrix, compute the standard deviation for each column and return them in a row vector.
The argument opt determines the type of normalization to use. Valid values are
- 0:
- normalizes with N-1, provides the square root of best unbiased estimator of the variance [default]
- 1:
- normalizes with N, this provides the square root of the second moment around the mean
The third argument dim determines the dimension along which the standard deviation is calculated.