fix issue with the overridden functions from Statistics

Author: sl-solution

docs/src/man/missing.md

@@ -83,19 +83,19 @@ julia> IMD.median(x)
 
 ### Some remarks
 
-`var` and `std` will return `missing` when `dof = true` and an `AbstractVector{Union{T, Missing}}` of length one is passed as their argument. This is different from the behaviour of these functions defined in the `Statistics` package.
+`var` and `std` will return `missing` when `dof = true` and an `AbstractVector` of length one is passed as their argument. This is different from the behaviour of these functions defined in the `Statistics` package.
 
 ```jldoctest
-julia> IMD.var(Union{Missing, Int}[1])
+julia> IMD.var([1])
 missing
 
-julia> IMD.std(Union{Missing, Int}[1])
+julia> IMD.std([1])
 missing
 
-julia> var([1]) # fallback to Statistics.var
+julia> Statistics.var([1])
 NaN
 
-julia> std([1]) # fallback to Statistics.std
+julia> Statistics.std([1])
 NaN
 ```
 

src/stat/stat.jl

@@ -18,23 +18,32 @@ sum(f, x)=Base.sum(f, x)
 sum(x::AbstractArray{Union{Missing, T},1}; threads = false) where T <: Union{INTEGERS, FLOATS} = threads ? hp_sum(identity, x) : stat_sum(identity, x)
 sum(x) = Base.sum(x)
 
-Statistics.mean(f, x::AbstractArray{Union{T,Missing},1}) where T <: Union{INTEGERS, FLOATS} = stat_mean(f, x)
-Statistics.mean(x::AbstractArray{Union{T,Missing},1}) where T <: Union{INTEGERS, FLOATS} = stat_mean(x)
+mean(f, x::AbstractArray{Union{T,Missing},1}) where T <: Union{INTEGERS, FLOATS} = stat_mean(f, x)
+mean(x::AbstractArray{Union{T,Missing},1}) where T <: Union{INTEGERS, FLOATS} = stat_mean(x)
+mean(f, x) = Statistics.mean(f, x)
+mean(x) = Statistics.mean(x)
 
 wsum(f, x::AbstractVector, w::AbstractVector) = stat_wsum(f, x, w)
 wsum(x::AbstractVector, w::AbstractVector) = stat_wsum(identity, x, w)
 
 wmean(f, x::AbstractVector, w::AbstractVector) = stat_wmean(f, x, w)
 wmean(x::AbstractVector, w::AbstractVector) = stat_wmean(identity, x, w)
 
-Statistics.var(f, x::AbstractArray{Union{T,Missing},1}, dof = true) where T <: Union{INTEGERS, FLOATS}= stat_var(f, x, dof)
-Statistics.var(x::AbstractArray{Union{T,Missing},1}, dof = true) where T <: Union{INTEGERS, FLOATS}= stat_var(x, dof)
+var(f, x::AbstractArray{Union{T,Missing},1}, dof = true) where T <: Union{INTEGERS, FLOATS}= stat_var(f, x, dof)
+var(f, x::AbstractArray{T,1}, dof = true) where T <: Union{INTEGERS, FLOATS}= stat_var(f, x, dof)
+var(x::AbstractArray{Union{T,Missing},1}, dof = true) where T <: Union{INTEGERS, FLOATS}= stat_var(x, dof)
+var(x::AbstractArray{T,1}, dof = true) where T <: Union{INTEGERS, FLOATS}= stat_var(x, dof)
+var(x, dof = true) = Statistics.var(x, corrected = dof)
 
 std(f, x::AbstractArray{Union{T,Missing},1}, dof = true) where T <: Union{INTEGERS, FLOATS}= stat_std(f, x, dof)
 std(x::AbstractArray{Union{T,Missing},1}, dof = true) where T <: Union{INTEGERS, FLOATS}= stat_std(x, dof)
+std(f, x::AbstractArray{T,1}, dof = true) where T <: Union{INTEGERS, FLOATS}= stat_std(f, x, dof)
+std(x::AbstractArray{T,1}, dof = true) where T <: Union{INTEGERS, FLOATS}= stat_std(x, dof)
 
-Statistics.median(x::AbstractArray{Union{T,Missing},1}) where T = stat_median(x)
-Statistics.median!(x::AbstractArray{Union{T,Missing},1}) where T = stat_median!(x)
+median(x::AbstractArray{Union{T,Missing},1}) where T = stat_median(x)
+median!(x::AbstractArray{Union{T,Missing},1}) where T = stat_median!(x)
+median(x) = Statistics.median(x)
+median!(x) = Statistics.median!(x)