zscores
z = zscores(x::AbstractArray{T}) -> AbstractArray{Float64}
Compute the z-scores of an array x with mean μ and standard deviation σ. z-scores are the signed number of standard deviations above the mean that an observation lies, i.e. \((x - μ) / σ\).
Methods
# 1 method for generic function "zscores" from GMT:
[1] zscores(x::AbstractArray{T}) where T<:Real