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Function List:

C++ API

: z = zscore (x)
: z = zscore (x, opt)
: z = zscore (x, opt, dim)
: [z, mu, sigma] = zscore (…)

Compute the Z score of x

If x is a vector, subtract its mean and divide by its standard deviation. If the standard deviation is zero, divide by 1 instead.

The optional parameter opt determines the normalization to use when computing the standard deviation and has the same definition as the corresponding parameter for std.

If x is a matrix, calculate along the first non-singleton dimension. If the third optional argument dim is given, operate along this dimension.

The optional outputs mu and sigma contain the mean and standard deviation.

See also: mean, std, center.

Package: octave