doc fixes

src/macros.jl

@@ -2196,7 +2196,7 @@ end
 Return the first occurence of unique rows in an `AbstractDataFrame` according 
 to given combinations of values in selected columns or their transformation. 
 `args` can be most column selectors or transformation accepted by `select`. 
-Users should note that `@distinct` differs from `unique` in `DataFrames.jl,
+Users should note that `@distinct` differs from `unique` in DataFrames.jl,
 such that `@distinct(df, :x,:y)` is not the same as `unique(df, [:x,:y])`. 
 See  **Details** for a discussion of these differences.
 
@@ -2258,7 +2258,7 @@ an intermediate data frame containing columns of `df` specified by `args`. The u
 of `df` are thus determined by this intermediate data frame. This focus on `select` allows 
 for multiple arguments to be passed conveniently in the form of column names or transformations.
 
-Users should be cautious when passing function arguments as vectors. E.g., `@distinct(df, $[:x,:y])`
+Users should be cautious when passing function arguments as vectors. E.g., `@distinct(df, $DOLLAR[:x,:y])`
 should be used instead of `@distinct(df, [:x,:y])` to avoid unexpected behaviors.
 
 ### Examples
@@ -2361,7 +2361,7 @@ end
     @distinct!(d, args...)
 
 In-place selection of unique rows in an `AbstractDataFrame`.
-Users should note that `@distinct!` differs from `unique!` in `DataFrames.jl`,
+Users should note that `@distinct!` differs from `unique!` in DataFrames.jl,
 such that `@distinct!(df, [:x,:y])` is not equal to `unique(df, [:x,:y])`. 
 See  **Details** for a discussion of these differences.
 
@@ -2424,7 +2424,7 @@ an intermediate data frame containing columns of `df` specified by `args`. The u
 of `df` are thus determined by this intermediate data frame. This focus on `select` allows 
 for multiple arguments to be conveniently passed in the form of column names or transformations.
 
-Users should be cautious when passing function arguments as vectors. E.g., `@distinct(df, $[:x,:y])`
+Users should be cautious when passing function arguments as vectors. E.g., `@distinct(df, $DOLLAR[:x,:y])`
 should be used instead of `@distinct(df, [:x,:y])` to avoid unexpected behaviors.
 
 ### Examples
@@ -2470,7 +2470,7 @@ function rdistinct!_helper(x, args...)
 end
 
 """
-    rdistinct(d, args...)
+    rdistinct!(d, args...)
 
 Row-wise version of `@distinct!`, i.e. all operations use `@byrow` by
 default. See [`@distinct!`](@ref) for details.
@@ -2496,7 +2496,7 @@ julia> @rdistinct!(df, :x + :y)
      │ Int64  Int64
 ─────┼──────────────
    1 │     1     5
-````
+```
 """
 macro rdistinct!(d, args...)
     esc(rdistinct!_helper(d, args...))