diff --git a/base/set.jl b/base/set.jl
index 6afff54d7cf0a..cc2d69c4ca8d7 100644
--- a/base/set.jl
+++ b/base/set.jl
@@ -184,6 +184,9 @@ end
 Selects one value from `A` for each unique value produced by `f` applied to
 elements of `A` , then return the modified A.
 
+!!! compat "Julia 1.1"
+    This method is available as of Julia 1.1.
+
 # Examples
 ```jldoctest
 julia> unique!(x -> x^2, [1, -1, 3, -3, 4])
diff --git a/stdlib/LinearAlgebra/src/generic.jl b/stdlib/LinearAlgebra/src/generic.jl
index f124331f450d4..931851172c622 100644
--- a/stdlib/LinearAlgebra/src/generic.jl
+++ b/stdlib/LinearAlgebra/src/generic.jl
@@ -713,7 +713,7 @@ end
 
 """
     rank(A::AbstractMatrix; atol::Real=0, rtol::Real=atol>0 ? 0 : n*ϵ)
-    rank(A::AbstractMatrix, rtol::Real) = rank(A; rtol=rtol)  # to be deprecated in Julia 2.0
+    rank(A::AbstractMatrix, rtol::Real)
 
 Compute the rank of a matrix by counting how many singular
 values of `A` have magnitude greater than `max(atol, rtol*σ₁)` where `σ₁` is
@@ -722,6 +722,11 @@ tolerances, respectively. The default relative tolerance is `n*ϵ`, where `n`
 is the size of the smallest dimension of `A`, and `ϵ` is the [`eps`](@ref) of
 the element type of `A`.
 
+!!! compat "Julia 1.1"
+    The `atol` and `rtol` keyword arguments requires at least Julia 1.1.
+    In Julia 1.0 `rtol` is available as a positional argument, but this
+    will be deprecated in a future Julia version.
+
 # Examples
 ```jldoctest
 julia> rank(Matrix(I, 3, 3))