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Pre-calculate mean instead of nothing for efficiency #15

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Pre-calculate mean instead of nothing for efficiency #15

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10 changes: 6 additions & 4 deletions src/Statistics.jl
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Original file line number Diff line number Diff line change
Expand Up @@ -332,13 +332,14 @@ over dimensions, and `mean` may contain means for each dimension of `itr`.
Use the [`skipmissing`](@ref) function to omit `missing` entries and compute the
variance of non-missing values.
"""
var(A::AbstractArray; corrected::Bool=true, mean=nothing, dims=:) = _var(A, corrected, mean, dims)
var(A::AbstractArray; corrected::Bool=true, dims=:, mean=Statistics.mean(A, dims=dims)) =
_var(A, corrected, mean, dims)

_var(A::AbstractArray, corrected::Bool, mean, dims) =
varm(A, something(mean, Statistics.mean(A, dims=dims)); corrected=corrected, dims=dims)
varm(A, mean; corrected=corrected, dims=dims)

_var(A::AbstractArray, corrected::Bool, mean, ::Colon) =
real(varm(A, something(mean, Statistics.mean(A)); corrected=corrected))
real(varm(A, mean; corrected=corrected))

varm(iterable, m; corrected::Bool=true) = _var(iterable, corrected, m)

Expand Down Expand Up @@ -405,7 +406,8 @@ over dimensions, and `means` may contain means for each dimension of `itr`.
Use the [`skipmissing`](@ref) function to omit `missing` entries and compute the
standard deviation of non-missing values.
"""
std(A::AbstractArray; corrected::Bool=true, mean=nothing, dims=:) = _std(A, corrected, mean, dims)
std(A::AbstractArray; corrected::Bool=true, dims=:, mean=Statistics.mean(A, dims=dims)) =
_std(A, corrected, mean, dims)

_std(A::AbstractArray, corrected::Bool, mean, dims) =
sqrt.(var(A; corrected=corrected, mean=mean, dims=dims))
Expand Down