[arrow] branch master updated: MINOR: [Docs][R] Remove duplicated words (#15163)

[ko...@apache.org]

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The following commit(s) were added to refs/heads/master by this push:
     new 4a40a8294e MINOR: [Docs][R] Remove duplicated words (#15163)
4a40a8294e is described below

commit 4a40a8294ed39c48dc9fb7f99f05de2e8d1ecd2e
Author: Nikita Eshkeev <ne...@yandex.ru>
AuthorDate: Tue Jan 3 15:25:09 2023 +0300

    MINOR: [Docs][R] Remove duplicated words (#15163)
    
    Authored-by: Nikita Eshkeev <ne...@yandex.ru>
    Signed-off-by: Sutou Kouhei <ko...@clear-code.com>
---
 r/NEWS.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/r/NEWS.md b/r/NEWS.md
index f82fe0f21d..81ef8c07e8 100644
--- a/r/NEWS.md
+++ b/r/NEWS.md
@@ -162,7 +162,7 @@ As of version 10.0.0, `arrow` requires C++17 to build. This means that:
   - are supported on `RecordBatchReader`. This allows, for example, results from DuckDB
   to be streamed back into Arrow rather than materialized before continuing the pipeline.
   - no longer need to materialize the entire result table before writing to a dataset
-    if the query contains contains aggregations or joins.
+    if the query contains aggregations or joins.
   - supports `dplyr::rename_with()`.
   - `dplyr::count()` returns an ungrouped dataframe.
 * `write_dataset()` has more options for controlling row group and file sizes when
@@ -487,7 +487,7 @@ Over 100 functions can now be called on Arrow objects inside a `dplyr` verb:
 ## Python and Flight
 
 * Flight methods `flight_get()` and `flight_put()` (renamed from `push_data()` in this release) can handle both Tables and RecordBatches
-* `flight_put()` gains an `overwrite` argument to optionally check for the existence of a resource with the the same name
+* `flight_put()` gains an `overwrite` argument to optionally check for the existence of a resource with the same name
 * `list_flights()` and `flight_path_exists()` enable you to see available resources on a Flight server
 * `Schema` objects now have `r_to_py` and `py_to_r` methods
 * Schema metadata is correctly preserved when converting Tables to/from Python