Add tests for additional small types

test/testArrayStats.jl

@@ -179,8 +179,8 @@
 
  # Summary statistics: dimensional tests, Float64
  A = reshape(1:300.,100,3)
- @test nansum(A, dims=1) == sum(A, dims=1)
- @test nansum(A, dims=2) == sum(A, dims=2)
+ @test nansum(A, dim=1) == vec(sum(A, dims=1))
+ @test nansum(A, dim=2) == vec(sum(A, dims=2))
  @test nanminimum(A, dim=1) == vec(minimum(A, dims=1))
  @test nanminimum(A, dim=2) == vec(minimum(A, dims=2))
  @test nanmaximum(A, dim=1) == vec(maximum(A, dims=1))
@@ -226,6 +226,21 @@
  @test nanstd(A, dims=(4,5,6)) ≈ std(A, dims=(4,5,6))
  @test nanstd(A, dims=(4,5,6)) ≈ nanstd(A, dims=(4,5,6), mean=nanmean(A, dims=(4,5,6)))
 
+ # A few tests with other types
+ for T in (Bool, Float16, Float32)
+ A = rand(T, 100)
+ @test nansum(A) ≈ sum(A)
+ @test nanmean(A) ≈ mean(A)
+ @test nanstd(A) ≈ std(A)
+ end
+
+ for T in (UInt8, UInt16, UInt32, Int8, Int16, Int32)
+ A = collect(T, 1:100)
+ @test nansum(A) == 5050
+ @test nanmean(A) == 50.5
+ @test nanstd(A) ≈ 29.011491975882016
+ end
+
  # Standardization
  @test nanstandardize!(collect(1:10.)) ≈ ((1:10) .- mean(1:10)) / std(1:10)
  @test nanstandardize(1:10.) ≈ ((1:10) .- mean(1:10)) / std(1:10)