diff --git a/R/pkg/R/SQLContext.R b/R/pkg/R/SQLContext.R
index ebec0ce3d192..429dd5d56549 100644
--- a/R/pkg/R/SQLContext.R
+++ b/R/pkg/R/SQLContext.R
@@ -712,7 +712,7 @@ read.jdbc <- function(url, tableName,
 #' @param schema The data schema defined in structType or a DDL-formatted string, this is
 #'               required for file-based streaming data source
 #' @param ... additional external data source specific named options, for instance \code{path} for
-#'        file-based streaming data source. \code{timeZone} to indicate a timezone to be used to 
+#'        file-based streaming data source. \code{timeZone} to indicate a timezone to be used to
 #'        parse timestamps in the JSON/CSV data sources or partition values; If it isn't set, it
 #'        uses the default value, session local timezone.
 #' @return SparkDataFrame
diff --git a/R/pkg/tests/fulltests/test_streaming.R b/R/pkg/tests/fulltests/test_streaming.R
index a354d50c6b54..bfb1a046490e 100644
--- a/R/pkg/tests/fulltests/test_streaming.R
+++ b/R/pkg/tests/fulltests/test_streaming.R
@@ -236,7 +236,7 @@ test_that("Watermark", {
 
   times <- collect(sql("SELECT * FROM times"))
   # looks like write timing can affect the first bucket; but it should be t
-  expect_equal(times[order(times$eventTime),][1, 2], 2)
+  expect_equal(times[order(times$eventTime), ][1, 2], 2)
 
   stopQuery(q)
   unlink(parquetPath)