diff --git a/test/combine.jl b/test/combine.jl
index 1406aff..a86a75d 100644
--- a/test/combine.jl
+++ b/test/combine.jl
@@ -53,6 +53,8 @@ ABdata[3:6,3:6,:,2] = Bdata
 A1 = AxisArray(A1data, Axis{:X}(1:2), Axis{:Y}(1:2))
 A2 = AxisArray(reshape(A2data, size(A2data)..., 1), Axis{:X}(1:2), Axis{:Y}(1:2), Axis{:Z}([:foo]))
 
+@test_throws ArgumentError collapse(Val{1}, A1, AxisArray(A1data, Axis{:L}(1:4), Axis{:M}(1:5)))
+
 @test @inferred(collapse(Val{2}, A1, A2)) == AxisArray(cat(3, A1data, A2data), Axis{:X}(1:2), Axis{:Y}(1:2), Axis{:collapsed}(AxisArrays.CategoricalVector([(1,), (2, :foo)])))
 @test @inferred(collapse(Val{2}, A1)) == AxisArray(reshape(A1, 2, 2, 1), Axis{:X}(1:2), Axis{:Y}(1:2), Axis{:collapsed}(AxisArrays.CategoricalVector([(1,)])))
 @test @inferred(collapse(Val{2}, A1)) == AxisArray(reshape(A1.data, size(A1)..., 1), axes(A1)..., Axis{:collapsed}(AxisArrays.CategoricalVector([(1,)])))
diff --git a/test/indexing.jl b/test/indexing.jl
index 9e5d8bd..2b4a1d1 100644
--- a/test/indexing.jl
+++ b/test/indexing.jl
@@ -59,7 +59,11 @@ odd_inds = collect(1:2:length(A))
 @test axes(A[vec(trues(A))]) == axes(A[all_inds])
 @test @inferred(A[vec(isodd.(A))]) == A[1:2:length(A)] == A[odd_inds]
 @test axes(A[vec(isodd.(A))]) == axes(A[odd_inds])
-
+# setindex! for logical indices
+AA = copy(A)
+AA[vec(isodd.(A))] = 0.
+@test AA[odd_inds] == zeros(odd_inds)
+@test AA[2:2:length(AA)] == A[2:2:length(AA)]
 
 B = AxisArray(reshape(1:15, 5,3), .1:.1:0.5, [:a, :b, :c])
 
diff --git a/test/sortedvector.jl b/test/sortedvector.jl
index bae7edc..b009c41 100644
--- a/test/sortedvector.jl
+++ b/test/sortedvector.jl
@@ -11,6 +11,7 @@ A = AxisArray(reshape(1:16, 8, 2), v, [:a, :b])
 # test StepRange indexing
 @test v[1:2:8] == [1.0; 10.0; 12.0; 14.0]
 
+@test AxisArrays.checkaxis(v) == nothing
 # Test SortedVector with a hierarchical index (indexed using Tuples)
 srand(1234)
 data = reshape(1.:40., 20, 2)