Neither advertise the functions moved to StatsBase nor test them on 0.7

These functions call through to Base functions, which is rendered
impossible after their moval to StatsBase (JuliaLang/julia#27152). As
StatsBase is using Compat, Compat cannot use StatsBase. In the future,
these functions should print deprecation warinings also on 0.6, telling
people how to get the desired functionality, once that is settled.

Alternatively, we could duplicate the code now moved to StatsBase in
Compat.

README.md

@@ -287,11 +287,11 @@ Currently, the `@compat` macro supports the following syntaxes:
 
 * `Compat.mv` and `Compat.cp` with `force` keyword argument ([#26069]).
 
-* `Compat.accumulate`, `Compat.accumulate!`, `Compat.all`, `Compat.any`, `Compat.cor`,
-  `Compat.cov`, `Compat.cumprod`, `Compat.cumprod!`, `Compat.cumsum`, `Compat.cumsum!`,
+* `Compat.accumulate`, `Compat.accumulate!`, `Compat.all`, `Compat.any`,
+  `Compat.cumprod`, `Compat.cumprod!`, `Compat.cumsum`, `Compat.cumsum!`,
   `Compat.findmax`, `Compat.findmin`, `Compat.mapreduce`, `Compat.maximum`, `Compat.mean`,
   `Compat.median`, `Compat.minimum`, `Compat.prod`, `Compat.reduce`, `Compat.sort`,
-  `Compat.std`, `Compat.sum`, `Compat.var`, and `Compat.varm` with `dims` keyword argument ([#25989],[#26369]).
+  and `Compat.sum`  with `dims` keyword argument ([#25989],[#26369]).
 
 * `selectdim` to obtain a view of an array with a specified index for a specified dimension ([#26009]).
 

test/runtests.jl

@@ -833,18 +833,6 @@ end
 @test isa(Base.rtoldefault(Float64, Float64, 0), Float64)
 @test Base.rtoldefault(Float64, Float64, 1.0) === 0.0
 
-# 0.7
-@test cov([1 2; 3 4], 1, corrected=true) == fill(2.0, 2, 2)
-@test cov([1 2; 3 4], 1, corrected=false) == fill(1.0, 2, 2)
-@test cov([1 2; 3 4], [0 4; 8 9], 1, corrected=true) == [8.0 5.0; 8.0 5.0]
-@test cov([1 2; 3 4], [0 4; 8 9], 1, corrected=false) == [4.0 2.5; 4.0 2.5]
-if VERSION >= v"0.6"
-    @test cov([1, 2], corrected=true) === 0.5
-    @test cov([1, 2], corrected=false) === 0.25
-    @test cov([1, 2], [0, 10], corrected=true) === 5.0
-    @test cov([1, 2], [0, 10], corrected=false) === 2.5
-end
-
 # 0.7
 @test isconcretetype(Int)
 
@@ -1569,36 +1557,6 @@ Issue26488 && @test Compat.prod(x -> x+1, [1 2; 3 4], dims=2) == hcat([6; 20])
 @test Compat.findmin([1 2; 3 4]) == (1, CartesianIndex(1, 1))
 @test Compat.findmin([1 2; 3 4], dims=1) == ([1 2], [CartesianIndex(1, 1) CartesianIndex(1, 2)])
 @test Compat.findmin([1 2; 3 4], dims=2) == (hcat([1; 3]), hcat([CartesianIndex(1, 1); CartesianIndex(2, 1)]))
-@test Compat.varm([1 2; 3 4], -1) == 18
-@test Compat.varm([1 2; 3 4], [-1 -2], dims=1) == [20 52]
-@test Compat.varm([1 2; 3 4], [-1, -2], dims=2) == hcat([13, 61])
-@test Compat.var([1 2; 3 4]) == 5/3
-@test Compat.var([1 2; 3 4], dims=1) == [2 2]
-@test Compat.var([1 2; 3 4], dims=2) == hcat([0.5, 0.5])
-@test Compat.var([1 2; 3 4], corrected=false) == 1.25
-@test Compat.var([1 2; 3 4], corrected=false, dims=1) == [1 1]
-@test Compat.var([1 2; 3 4], corrected=false, dims=2) == hcat([0.25, 0.25])
-@test Compat.std([1 2; 3 4]) == sqrt(5/3)
-@test Compat.std([1 2; 3 4], dims=1) == [sqrt(2) sqrt(2)]
-@test Compat.std([1 2; 3 4], dims=2) == hcat([sqrt(0.5), sqrt(0.5)])
-@test Compat.std([1 2; 3 4], corrected=false) == sqrt(1.25)
-@test Compat.std([1 2; 3 4], corrected=false, dims=1) == [sqrt(1) sqrt(1)]
-@test Compat.std([1 2; 3 4], corrected=false, dims=2) == hcat([sqrt(0.25), sqrt(0.25)])
-@test Compat.cov([1 2; 3 4]) == [2 2; 2 2]
-@test Compat.cov([1 2; 3 4], dims=1) == [2 2; 2 2]
-@test Compat.cov([1 2; 3 4], dims=2) == [0.5 0.5; 0.5 0.5]
-@test Compat.cov([1 2; 3 4], [4; 5]) == hcat([1; 1])
-@test Compat.cov([1 2; 3 4], [4; 5], dims=1) == hcat([1; 1])
-@test Compat.cov([1 2; 3 4], [4; 5], dims=2) == hcat([0.5; 0.5])
-@test Compat.cov([1 2; 3 4], [4; 5], corrected=false) == hcat([0.5; 0.5])
-@test Compat.cov([1 2; 3 4], [4; 5], corrected=false, dims=1) == hcat([0.5; 0.5])
-@test Compat.cov([1 2; 3 4], [4; 5], corrected=false, dims=2) == hcat([0.25; 0.25])
-@test Compat.cor([1 2; 3 4]) ≈ [1 1; 1 1]
-@test Compat.cor([1 2; 3 4], dims=1) ≈ [1 1; 1 1]
-@test Compat.cor([1 2; 3 4], dims=2) ≈ [1 1; 1 1]
-@test Compat.cor([1 2; 3 4], [4; 5]) ≈ [1; 1]
-@test Compat.cor([1 2; 3 4], [4; 5], dims=1) ≈ [1; 1]
-@test Compat.cor([1 2; 3 4], [4; 5], dims=2) ≈ [1; 1]
 @test Compat.median([1 2; 3 4]) == 2.5
 @test Compat.median([1 2; 3 4], dims=1) == [2 3]
 @test Compat.median([1 2; 3 4], dims=2) == hcat([1.5; 3.5])