variance — variance of the values of a vector or matrix
s=variance(x[,orien[,w]]) s=variance(x,'r') or m=variance(x,1) s=variance(x,'c') or m=variance(x,2)
real or complex vector or matrix
the orientation of the computation. Valid values or the orien parameter are 1, "r", 2 and "c".
w : type of normalization to use. Valid values are 0 and 1. This depends on the number of columns of x (if orien = 1 is chosen), the number of rows (if orien = 2 is chosen). If w = 0, normalizes with m-1, provides the best unbiased estimator of the variance (this is the default). If w = 1, normalizes with m, this provides the second moment around the mean. If no orien option is given, the normalization is done with n * m - 1, where n * m is the total number of elements in the matrix.
This function computes the variance of the values of a
vector or matrix x.
For a vector or a matrix x, s=variance(x) returns
in the scalar s the variance of all the entries of
x.
s=variance(x,'r') (or, equivalently, s=variance(x,1))
is the rowwise variance. It returns in each entry of the
row vector s the variance of each column of x.
The generalized formulae is used, which manages complex values.
s=variance(x,'c') (or, equivalently, s=variance(x,2))
is the columnwise standard deviation. It returns in
each entry of the column vector s the variance of
each row of x.
The generalized formulae is used, which manages complex values.