Deduplication of schema description

Author: MaxGekk

R/pkg/R/functions.R

@@ -197,6 +197,13 @@ NULL
 #'          \item \code{array_position}: a value to locate in the given array.
 #'          \item \code{array_remove}: a value to remove in the given array.
 #'          }
+#' @param schema
+#'          \itemize{
+#'          \item \code{from_json}: a structType object to use as the schema to use
+#'              when parsing the JSON string. Since Spark 2.3, the DDL-formatted string is
+#'              also supported for the schema.
+#'          \item \code{from_csv}: a DDL-formatted string
+#'          }
 #' @param ... additional argument(s). In \code{to_json}, \code{from_json} and \code{from_csv},
 #'            this contains additional named properties to control how it is converted, accepts
 #'            the same options as the JSON and CSV data source.  In \code{arrays_zip},
@@ -2165,8 +2172,6 @@ setMethod("date_format", signature(y = "Column", x = "character"),
 #' to \code{TRUE}. If the string is unparseable, the Column will contain the value NA.
 #'
 #' @rdname column_collection_functions
-#' @param schema a structType object to use as the schema to use when parsing the JSON string.
-#'               Since Spark 2.3, the DDL-formatted string is also supported for the schema.
 #' @param as.json.array indicating if input string is JSON array of objects or a single object.
 #' @aliases from_json from_json,Column,characterOrstructType-method
 #' @examples
@@ -2209,7 +2214,6 @@ setMethod("from_json", signature(x = "Column", schema = "characterOrstructType")
 #' If the string is unparseable, the Column will contain the value NA.
 #'
 #' @rdname column_collection_functions
-#' @param schema a DDL-formatted string
 #' @aliases from_csv from_csv,Column,character-method
 #'
 #' @note from_csv since 3.0.0