Fix NOTE: and Note that to Note: to be consistent

R/pkg/R/DataFrame.R

@@ -2541,7 +2541,8 @@ generateAliasesForIntersectedCols <- function (x, intersectedColNames, suffix) {
 #'
 #' Return a new SparkDataFrame containing the union of rows in this SparkDataFrame
 #' and another SparkDataFrame. This is equivalent to \code{UNION ALL} in SQL.
-#' Note that this does not remove duplicate rows across the two SparkDataFrames.
+#'
+#' Note: This does not remove duplicate rows across the two SparkDataFrames.
 #'
 #' @param x A SparkDataFrame
 #' @param y A SparkDataFrame
@@ -2584,7 +2585,8 @@ setMethod("unionAll",
 #' Union two or more SparkDataFrames
 #'
 #' Union two or more SparkDataFrames. This is equivalent to \code{UNION ALL} in SQL.
-#' Note that this does not remove duplicate rows across the two SparkDataFrames.
+#'
+#' Note: This does not remove duplicate rows across the two SparkDataFrames.
 #'
 #' @param x a SparkDataFrame.
 #' @param ... additional SparkDataFrame(s).

R/pkg/R/RDD.R

@@ -1650,7 +1650,8 @@ setMethod("subtract",
 #' The output will not contain any duplicate elements,
 #' even if the input RDDs did. Performs a hash partition
 #' across the cluster.
-#' Note that this method performs a shuffle internally.
+#'
+#' Note: This method performs a shuffle internally.
 #'
 #' @param x An RDD.
 #' @param other An RDD.

R/pkg/R/context.R

@@ -182,7 +182,8 @@ writeToTempFile <- function(serializedSlices) {
 #' This function can be used to include a package on all workers before the
 #' user's code is executed. This is useful in scenarios where other R package
 #' functions are used in a function passed to functions like \code{lapply}.
-#' NOTE: The package is assumed to be installed on every node in the Spark
+#'
+#  Note: The package is assumed to be installed on every node in the Spark
 #' cluster.
 #'
 #' @param sc SparkContext to use

R/pkg/R/functions.R

@@ -2296,7 +2296,7 @@ setMethod("n", signature(x = "Column"),
 #' A pattern could be for instance \preformatted{dd.MM.yyyy} and could return a string like '18.03.1993'. All
 #' pattern letters of \code{java.text.SimpleDateFormat} can be used.
 #'
-#' NOTE: Use when ever possible specialized functions like \code{year}. These benefit from a
+#' Note: Use when ever possible specialized functions like \code{year}. These benefit from a
 #' specialized implementation.
 #'
 #' @param y Column to compute on.
@@ -2341,7 +2341,7 @@ setMethod("from_utc_timestamp", signature(y = "Column", x = "character"),
 #' Locate the position of the first occurrence of substr column in the given string.
 #' Returns null if either of the arguments are null.
 #'
-#' NOTE: The position is not zero based, but 1 based index. Returns 0 if substr
+#' Note: The position is not zero based, but 1 based index. Returns 0 if substr
 #' could not be found in str.
 #'
 #' @param y column to check
@@ -2779,7 +2779,8 @@ setMethod("window", signature(x = "Column"),
 #' locate
 #'
 #' Locate the position of the first occurrence of substr.
-#' NOTE: The position is not zero based, but 1 based index. Returns 0 if substr
+#'
+#' Note: The position is not zero based, but 1 based index. Returns 0 if substr
 #' could not be found in str.
 #'
 #' @param substr a character string to be matched.

R/pkg/R/pairRDD.R

@@ -405,8 +405,11 @@ setMethod("reduceByKeyLocally",
 #'
 #' Generic function to combine the elements for each key using a custom set of
 #' aggregation functions. Turns an RDD[(K, V)] into a result of type RDD[(K, C)],
-#' for a "combined type" C. Note that V and C can be different -- for example, one
+#' for a "combined type" C.
+#'
+#' Note: V and C can be different -- for example, one
 #' might group an RDD of type (Int, Int) into an RDD of type (Int, Seq[Int]).
+#'
 #' Users provide three functions:
 #' \itemize{
 #'   \item createCombiner, which turns a V into a C (e.g., creates a one-element list)