[SPARK-16507][SPARKR] Add a CRAN checker, fix Rd aliases

## What changes were proposed in this pull request?

Add a check-cran.sh script that runs `R CMD check` as CRAN. Also fixes a number of issues pointed out by the check. These include
- Updating `DESCRIPTION` to be appropriate
- Adding a .Rbuildignore to ignore lintr, src-native, html that are non-standard files / dirs
- Adding aliases to all S4 methods in DataFrame, Column, GroupedData etc.  This is required as stated in https://cran.r-project.org/doc/manuals/r-release/R-exts.html#Documenting-S4-classes-and-methods
- Other minor fixes

## How was this patch tested?

SparkR unit tests, running the above mentioned script

Author: Shivaram Venkataraman <shivaram@cs.berkeley.edu>

Closes #14173 from shivaram/sparkr-cran-changes.

16 files changed, 675 insertions, 43 deletions

diff --git a/R/check-cran.sh b/R/check-cran.sh
new file mode 100755
index 0000000000..b3a6860961
--- /dev/null
+++ b/R/check-cran.sh
@@ -0,0 +1,52 @@
+#!/bin/bash
+
+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
+# contributor license agreements.  See the NOTICE file distributed with
+# this work for additional information regarding copyright ownership.
+# The ASF licenses this file to You under the Apache License, Version 2.0
+# (the "License"); you may not use this file except in compliance with
+# the License.  You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+
+set -o pipefail
+set -e
+
+FWDIR="$(cd `dirname $0`; pwd)"
+pushd $FWDIR > /dev/null
+
+if [ ! -z "$R_HOME" ]
+  then
+    R_SCRIPT_PATH="$R_HOME/bin"
+  else
+    # if system wide R_HOME is not found, then exit
+    if [ ! `command -v R` ]; then
+      echo "Cannot find 'R_HOME'. Please specify 'R_HOME' or make sure R is properly installed."
+      exit 1
+    fi
+    R_SCRIPT_PATH="$(dirname $(which R))"
+fi
+echo "USING R_HOME = $R_HOME"
+
+# Build the latest docs
+$FWDIR/create-docs.sh
+
+# Build a zip file containing the source package
+"$R_SCRIPT_PATH/"R CMD build $FWDIR/pkg
+
+# Run check as-cran.
+# TODO(shivaram): Remove the skip tests once we figure out the install mechanism
+
+VERSION=`grep Version $FWDIR/pkg/DESCRIPTION | awk '{print $NF}'`
+
+"$R_SCRIPT_PATH/"R CMD check --as-cran --no-tests SparkR_"$VERSION".tar.gz 
+
+popd > /dev/null
diff --git a/R/pkg/.Rbuildignore b/R/pkg/.Rbuildignore
new file mode 100644
index 0000000000..544d203a6d
--- /dev/null
+++ b/R/pkg/.Rbuildignore
@@ -0,0 +1,5 @@
+^.*\.Rproj$
+^\.Rproj\.user$
+^\.lintr$
+^src-native$
+^html$
diff --git a/R/pkg/DESCRIPTION b/R/pkg/DESCRIPTION
index 963a1bb580..ac73d6c798 100644
--- a/R/pkg/DESCRIPTION
+++ b/R/pkg/DESCRIPTION
@@ -1,12 +1,10 @@
 Package: SparkR
 Type: Package
-Title: R frontend for Spark
+Title: R Frontend for Apache Spark
 Version: 2.0.0
-Date: 2013-09-09
+Date: 2016-07-07
 Author: The Apache Software Foundation
 Maintainer: Shivaram Venkataraman <shivaram@cs.berkeley.edu>
-Imports:
-    methods
 Depends:
     R (>= 3.0),
     methods,
@@ -14,7 +12,7 @@ Suggests:
     testthat,
     e1071,
     survival
-Description: R frontend for Spark
+Description: The SparkR package provides an R frontend for Apache Spark.
 License: Apache License (== 2.0)
 Collate:
     'schema.R'
diff --git a/R/pkg/NAMESPACE b/R/pkg/NAMESPACE
index fe52905e0a..1d74c6d955 100644
--- a/R/pkg/NAMESPACE
+++ b/R/pkg/NAMESPACE
@@ -343,3 +343,12 @@ export("partitionBy",
 
 export("windowPartitionBy",
        "windowOrderBy")
+
+S3method(print, jobj)
+S3method(print, structField)
+S3method(print, structType)
+S3method(print, summary.GeneralizedLinearRegressionModel)
+S3method(structField, character)
+S3method(structField, jobj)
+S3method(structType, jobj)
+S3method(structType, structField)
diff --git a/R/pkg/R/DataFrame.R b/R/pkg/R/DataFrame.R
index 47f9203ace..2e99aa026d 100644
--- a/R/pkg/R/DataFrame.R
+++ b/R/pkg/R/DataFrame.R
@@ -74,6 +74,7 @@ dataFrame <- function(sdf, isCached = FALSE) {
 #' @family SparkDataFrame functions
 #' @rdname printSchema
 #' @name printSchema
+#' @aliases printSchema,SparkDataFrame-method
 #' @export
 #' @examples
 #'\dontrun{
@@ -99,6 +100,7 @@ setMethod("printSchema",
 #' @family SparkDataFrame functions
 #' @rdname schema
 #' @name schema
+#' @aliases schema,SparkDataFrame-method
 #' @export
 #' @examples
 #'\dontrun{
@@ -121,6 +123,7 @@ setMethod("schema",
 #' @param x A SparkDataFrame
 #' @param extended Logical. If extended is FALSE, explain() only prints the physical plan.
 #' @family SparkDataFrame functions
+#' @aliases explain,SparkDataFrame-method
 #' @rdname explain
 #' @name explain
 #' @export
@@ -154,6 +157,7 @@ setMethod("explain",
 #' @family SparkDataFrame functions
 #' @rdname isLocal
 #' @name isLocal
+#' @aliases isLocal,SparkDataFrame-method
 #' @export
 #' @examples
 #'\dontrun{
@@ -179,6 +183,7 @@ setMethod("isLocal",
 #'    truncated. However, if set greater than zero, truncates strings longer than `truncate`
 #'    characters and all cells will be aligned right.
 #' @family SparkDataFrame functions
+#' @aliases showDF,SparkDataFrame-method
 #' @rdname showDF
 #' @name showDF
 #' @export
@@ -210,6 +215,7 @@ setMethod("showDF",
 #'
 #' @family SparkDataFrame functions
 #' @rdname show
+#' @aliases show,SparkDataFrame-method
 #' @name show
 #' @export
 #' @examples
@@ -238,6 +244,7 @@ setMethod("show", "SparkDataFrame",
 #' @family SparkDataFrame functions
 #' @rdname dtypes
 #' @name dtypes
+#' @aliases dtypes,SparkDataFrame-method
 #' @export
 #' @examples
 #'\dontrun{
@@ -264,7 +271,7 @@ setMethod("dtypes",
 #' @family SparkDataFrame functions
 #' @rdname columns
 #' @name columns
-
+#' @aliases columns,SparkDataFrame-method
 #' @export
 #' @examples
 #'\dontrun{
@@ -285,6 +292,7 @@ setMethod("columns",
 
 #' @rdname columns
 #' @name names
+#' @aliases names,SparkDataFrame-method
 #' @note names since 1.5.0
 setMethod("names",
           signature(x = "SparkDataFrame"),
@@ -293,6 +301,7 @@ setMethod("names",
           })
 
 #' @rdname columns
+#' @aliases names<-,SparkDataFrame-method
 #' @name names<-
 #' @note names<- since 1.5.0
 setMethod("names<-",
@@ -305,6 +314,7 @@ setMethod("names<-",
           })
 
 #' @rdname columns
+#' @aliases colnames,SparkDataFrame-method
 #' @name colnames
 #' @note colnames since 1.6.0
 setMethod("colnames",
@@ -314,6 +324,7 @@ setMethod("colnames",
           })
 
 #' @rdname columns
+#' @aliases colnames<-,SparkDataFrame-method
 #' @name colnames<-
 #' @note colnames<- since 1.6.0
 setMethod("colnames<-",
@@ -350,6 +361,7 @@ setMethod("colnames<-",
 #' @param x A SparkDataFrame
 #' @return value A character vector with the column types of the given SparkDataFrame
 #' @rdname coltypes
+#' @aliases coltypes,SparkDataFrame-method
 #' @name coltypes
 #' @family SparkDataFrame functions
 #' @export
@@ -405,6 +417,7 @@ setMethod("coltypes",
 #'    to keep that column as-is.
 #' @rdname coltypes
 #' @name coltypes<-
+#' @aliases coltypes<-,SparkDataFrame,character-method
 #' @export
 #' @examples
 #'\dontrun{
@@ -453,6 +466,7 @@ setMethod("coltypes<-",
 #' @family SparkDataFrame functions
 #' @rdname createOrReplaceTempView
 #' @name createOrReplaceTempView
+#' @aliases createOrReplaceTempView,SparkDataFrame,character-method
 #' @export
 #' @examples
 #'\dontrun{
@@ -479,6 +493,7 @@ setMethod("createOrReplaceTempView",
 #' @seealso \link{createOrReplaceTempView}
 #' @rdname registerTempTable-deprecated
 #' @name registerTempTable
+#' @aliases registerTempTable,SparkDataFrame,character-method
 #' @export
 #' @examples
 #'\dontrun{
@@ -508,6 +523,7 @@ setMethod("registerTempTable",
 #' @family SparkDataFrame functions
 #' @rdname insertInto
 #' @name insertInto
+#' @aliases insertInto,SparkDataFrame,character-method
 #' @export
 #' @examples
 #'\dontrun{
@@ -534,6 +550,7 @@ setMethod("insertInto",
 #' @param x A SparkDataFrame
 #'
 #' @family SparkDataFrame functions
+#' @aliases cache,SparkDataFrame-method
 #' @rdname cache
 #' @name cache
 #' @export
@@ -564,6 +581,7 @@ setMethod("cache",
 #' @family SparkDataFrame functions
 #' @rdname persist
 #' @name persist
+#' @aliases persist,SparkDataFrame,character-method
 #' @export
 #' @examples
 #'\dontrun{
@@ -591,6 +609,7 @@ setMethod("persist",
 #'
 #' @family SparkDataFrame functions
 #' @rdname unpersist-methods
+#' @aliases unpersist,SparkDataFrame-method
 #' @name unpersist
 #' @export
 #' @examples
@@ -627,6 +646,7 @@ setMethod("unpersist",
 #' @family SparkDataFrame functions
 #' @rdname repartition
 #' @name repartition
+#' @aliases repartition,SparkDataFrame-method
 #' @export
 #' @examples
 #'\dontrun{
@@ -670,6 +690,7 @@ setMethod("repartition",
 #'
 #' @param x A SparkDataFrame
 #' @return A StringRRDD of JSON objects
+#' @aliases toJSON,SparkDataFrame-method
 #' @noRd
 #' @examples
 #'\dontrun{
@@ -697,6 +718,7 @@ setMethod("toJSON",
 #' @family SparkDataFrame functions
 #' @rdname write.json
 #' @name write.json
+#' @aliases write.json,SparkDataFrame,character-method
 #' @export
 #' @examples
 #'\dontrun{
@@ -722,6 +744,7 @@ setMethod("write.json",
 #' @param path The directory where the file is saved
 #'
 #' @family SparkDataFrame functions
+#' @aliases write.orc,SparkDataFrame,character-method
 #' @rdname write.orc
 #' @name write.orc
 #' @export
@@ -751,6 +774,7 @@ setMethod("write.orc",
 #' @family SparkDataFrame functions
 #' @rdname write.parquet
 #' @name write.parquet
+#' @aliases write.parquet,SparkDataFrame,character-method
 #' @export
 #' @examples
 #'\dontrun{
@@ -770,6 +794,7 @@ setMethod("write.parquet",
 
 #' @rdname write.parquet
 #' @name saveAsParquetFile
+#' @aliases saveAsParquetFile,SparkDataFrame,character-method
 #' @export
 #' @note saveAsParquetFile since 1.4.0
 setMethod("saveAsParquetFile",
@@ -789,6 +814,7 @@ setMethod("saveAsParquetFile",
 #' @param path The directory where the file is saved
 #'
 #' @family SparkDataFrame functions
+#' @aliases write.text,SparkDataFrame,character-method
 #' @rdname write.text
 #' @name write.text
 #' @export
@@ -814,6 +840,7 @@ setMethod("write.text",
 #' @param x A SparkDataFrame
 #'
 #' @family SparkDataFrame functions
+#' @aliases distinct,SparkDataFrame-method
 #' @rdname distinct
 #' @name distinct
 #' @export
@@ -834,6 +861,7 @@ setMethod("distinct",
 
 #' @rdname distinct
 #' @name unique
+#' @aliases unique,SparkDataFrame-method
 #' @note unique since 1.5.0
 setMethod("unique",
           signature(x = "SparkDataFrame"),
@@ -851,6 +879,7 @@ setMethod("unique",
 #' @param seed Randomness seed value
 #'
 #' @family SparkDataFrame functions
+#' @aliases sample,SparkDataFrame,logical,numeric-method
 #' @rdname sample
 #' @name sample
 #' @export
@@ -879,6 +908,7 @@ setMethod("sample",
           })
 
 #' @rdname sample
+#' @aliases sample_frac,SparkDataFrame,logical,numeric-method
 #' @name sample_frac
 #' @note sample_frac since 1.4.0
 setMethod("sample_frac",
@@ -895,6 +925,7 @@ setMethod("sample_frac",
 #' @family SparkDataFrame functions
 #' @rdname nrow
 #' @name count
+#' @aliases count,SparkDataFrame-method
 #' @export
 #' @examples
 #'\dontrun{
@@ -912,6 +943,7 @@ setMethod("count",
 
 #' @name nrow
 #' @rdname nrow
+#' @aliases nrow,SparkDataFrame-method
 #' @note nrow since 1.5.0
 setMethod("nrow",
           signature(x = "SparkDataFrame"),
@@ -926,6 +958,7 @@ setMethod("nrow",
 #' @family SparkDataFrame functions
 #' @rdname ncol
 #' @name ncol
+#' @aliases ncol,SparkDataFrame-method
 #' @export
 #' @examples
 #'\dontrun{
@@ -948,6 +981,7 @@ setMethod("ncol",
 #'
 #' @family SparkDataFrame functions
 #' @rdname dim
+#' @aliases dim,SparkDataFrame-method
 #' @name dim
 #' @export
 #' @examples
@@ -972,6 +1006,7 @@ setMethod("dim",
 #'
 #' @family SparkDataFrame functions
 #' @rdname collect
+#' @aliases collect,SparkDataFrame-method
 #' @name collect
 #' @export
 #' @examples
@@ -1045,6 +1080,7 @@ setMethod("collect",
 #' @family SparkDataFrame functions
 #' @rdname limit
 #' @name limit
+#' @aliases limit,SparkDataFrame,numeric-method
 #' @export
 #' @examples
 #' \dontrun{
@@ -1066,6 +1102,7 @@ setMethod("limit",
 #' @family SparkDataFrame functions
 #' @rdname take
 #' @name take
+#' @aliases take,SparkDataFrame,numeric-method
 #' @export
 #' @examples
 #'\dontrun{
@@ -1093,6 +1130,7 @@ setMethod("take",
 #' @return A data.frame
 #'
 #' @family SparkDataFrame functions
+#' @aliases head,SparkDataFrame-method
 #' @rdname head
 #' @name head
 #' @export
@@ -1116,6 +1154,7 @@ setMethod("head",
 #' @param x A SparkDataFrame
 #'
 #' @family SparkDataFrame functions
+#' @aliases first,SparkDataFrame-method
 #' @rdname first
 #' @name first
 #' @export
@@ -1166,6 +1205,7 @@ setMethod("toRDD",
 #' @param x a SparkDataFrame
 #' @return a GroupedData
 #' @family SparkDataFrame functions
+#' @aliases groupBy,SparkDataFrame-method
 #' @rdname groupBy
 #' @name groupBy
 #' @export
@@ -1193,6 +1233,7 @@ setMethod("groupBy",
 
 #' @rdname groupBy
 #' @name group_by
+#' @aliases group_by,SparkDataFrame-method
 #' @note group_by since 1.4.0
 setMethod("group_by",
           signature(x = "SparkDataFrame"),
@@ -1206,7 +1247,8 @@ setMethod("group_by",
 #'
 #' @param x a SparkDataFrame
 #' @family SparkDataFrame functions
-#' @rdname agg
+#' @aliases agg,SparkDataFrame-method
+#' @rdname summarize
 #' @name agg
 #' @export
 #' @note agg since 1.4.0
@@ -1216,8 +1258,9 @@ setMethod("agg",
             agg(groupBy(x), ...)
           })
 
-#' @rdname agg
+#' @rdname summarize
 #' @name summarize
+#' @aliases summarize,SparkDataFrame-method
 #' @note summarize since 1.4.0
 setMethod("summarize",
           signature(x = "SparkDataFrame"),
@@ -1256,6 +1299,7 @@ dapplyInternal <- function(x, func, schema) {
 #'               It must match the output of func.
 #' @family SparkDataFrame functions
 #' @rdname dapply
+#' @aliases dapply,SparkDataFrame,function,structType-method
 #' @name dapply
 #' @seealso \link{dapplyCollect}
 #' @export
@@ -1294,7 +1338,7 @@ setMethod("dapply",
 #' dapplyCollect
 #'
 #' Apply a function to each partition of a SparkDataFrame and collect the result back
-#’ to R as a data.frame.
+#' to R as a data.frame.
 #'
 #' @param x A SparkDataFrame
 #' @param func A function to be applied to each partition of the SparkDataFrame.
@@ -1303,6 +1347,7 @@ setMethod("dapply",
 #'             The output of func should be a R data.frame.
 #' @family SparkDataFrame functions
 #' @rdname dapplyCollect
+#' @aliases dapplyCollect,SparkDataFrame,function-method
 #' @name dapplyCollect
 #' @seealso \link{dapply}
 #' @export
@@ -1358,6 +1403,7 @@ setMethod("dapplyCollect",
 #'               output column with preferred output column name and corresponding data type.
 #' @return a SparkDataFrame
 #' @family SparkDataFrame functions
+#' @aliases gapply,SparkDataFrame-method
 #' @rdname gapply
 #' @name gapply
 #' @seealso \link{gapplyCollect}
@@ -1446,6 +1492,7 @@ setMethod("gapply",
 #'             The output of `func` is a local R data.frame.
 #' @return a data.frame
 #' @family SparkDataFrame functions
+#' @aliases gapplyCollect,SparkDataFrame-method
 #' @rdname gapplyCollect
 #' @name gapplyCollect
 #' @seealso \link{gapply}
@@ -1592,6 +1639,7 @@ getColumn <- function(x, c) {
 
 #' @rdname select
 #' @name $
+#' @aliases $,SparkDataFrame-method
 #' @note $ since 1.4.0
 setMethod("$", signature(x = "SparkDataFrame"),
           function(x, name) {
@@ -1600,6 +1648,7 @@ setMethod("$", signature(x = "SparkDataFrame"),
 
 #' @rdname select
 #' @name $<-
+#' @aliases $<-,SparkDataFrame-method
 #' @note $<- since 1.4.0
 setMethod("$<-", signature(x = "SparkDataFrame"),
           function(x, name, value) {
@@ -1618,6 +1667,7 @@ setClassUnion("numericOrcharacter", c("numeric", "character"))
 
 #' @rdname subset
 #' @name [[
+#' @aliases [[,SparkDataFrame,numericOrcharacter-method
 #' @note [[ since 1.4.0
 setMethod("[[", signature(x = "SparkDataFrame", i = "numericOrcharacter"),
           function(x, i) {
@@ -1630,6 +1680,7 @@ setMethod("[[", signature(x = "SparkDataFrame", i = "numericOrcharacter"),
 
 #' @rdname subset
 #' @name [
+#' @aliases [,SparkDataFrame-method
 #' @note [ since 1.4.0
 setMethod("[", signature(x = "SparkDataFrame"),
           function(x, i, j, ..., drop = F) {
@@ -1677,6 +1728,7 @@ setMethod("[", signature(x = "SparkDataFrame"),
 #' @return A new SparkDataFrame containing only the rows that meet the condition with selected columns
 #' @export
 #' @family SparkDataFrame functions
+#' @aliases subset,SparkDataFrame-method
 #' @rdname subset
 #' @name subset
 #' @family subsetting functions
@@ -1714,6 +1766,7 @@ setMethod("subset", signature(x = "SparkDataFrame"),
 #' @export
 #' @family SparkDataFrame functions
 #' @rdname select
+#' @aliases select,SparkDataFrame,character-method
 #' @name select
 #' @family subsetting functions
 #' @examples
@@ -1743,6 +1796,7 @@ setMethod("select", signature(x = "SparkDataFrame", col = "character"),
 
 #' @rdname select
 #' @export
+#' @aliases select,SparkDataFrame,Column-method
 #' @note select(SparkDataFrame, Column) since 1.4.0
 setMethod("select", signature(x = "SparkDataFrame", col = "Column"),
           function(x, col, ...) {
@@ -1755,6 +1809,7 @@ setMethod("select", signature(x = "SparkDataFrame", col = "Column"),
 
 #' @rdname select
 #' @export
+#' @aliases select,SparkDataFrame,list-method
 #' @note select(SparkDataFrame, list) since 1.4.0
 setMethod("select",
           signature(x = "SparkDataFrame", col = "list"),
@@ -1779,6 +1834,7 @@ setMethod("select",
 #' @param ... Additional expressions
 #' @return A SparkDataFrame
 #' @family SparkDataFrame functions
+#' @aliases selectExpr,SparkDataFrame,character-method
 #' @rdname selectExpr
 #' @name selectExpr
 #' @export
@@ -1808,6 +1864,7 @@ setMethod("selectExpr",
 #' @param col A Column expression.
 #' @return A SparkDataFrame with the new column added or the existing column replaced.
 #' @family SparkDataFrame functions
+#' @aliases withColumn,SparkDataFrame,character,Column-method
 #' @rdname withColumn
 #' @name withColumn
 #' @seealso \link{rename} \link{mutate}
@@ -1837,6 +1894,7 @@ setMethod("withColumn",
 #' @param col a named argument of the form name = col
 #' @return A new SparkDataFrame with the new columns added or replaced.
 #' @family SparkDataFrame functions
+#' @aliases mutate,SparkDataFrame-method
 #' @rdname mutate
 #' @name mutate
 #' @seealso \link{rename} \link{withColumn}
@@ -1912,6 +1970,7 @@ setMethod("mutate",
 
 #' @export
 #' @rdname mutate
+#' @aliases transform,SparkDataFrame-method
 #' @name transform
 #' @note transform since 1.5.0
 setMethod("transform",
@@ -1931,6 +1990,7 @@ setMethod("transform",
 #' @family SparkDataFrame functions
 #' @rdname rename
 #' @name withColumnRenamed
+#' @aliases withColumnRenamed,SparkDataFrame,character,character-method
 #' @seealso \link{mutate}
 #' @export
 #' @examples
@@ -1957,6 +2017,7 @@ setMethod("withColumnRenamed",
 #' @param ... A named pair of the form new_column_name = existing_column
 #' @rdname rename
 #' @name rename
+#' @aliases rename,SparkDataFrame-method
 #' @export
 #' @examples
 #'\dontrun{
@@ -1999,6 +2060,7 @@ setClassUnion("characterOrColumn", c("character", "Column"))
 #'                   a character vector is specified for col
 #' @return A SparkDataFrame where all elements are sorted.
 #' @family SparkDataFrame functions
+#' @aliases arrange,SparkDataFrame,Column-method
 #' @rdname arrange
 #' @name arrange
 #' @export
@@ -2026,6 +2088,7 @@ setMethod("arrange",
 
 #' @rdname arrange
 #' @name arrange
+#' @aliases arrange,SparkDataFrame,character-method
 #' @export
 #' @note arrange(SparkDataFrame, character) since 1.4.0
 setMethod("arrange",
@@ -2059,6 +2122,7 @@ setMethod("arrange",
 
 #' @rdname arrange
 #' @name orderBy
+#' @aliases orderBy,SparkDataFrame,characterOrColumn-method
 #' @export
 #' @note orderBy(SparkDataFrame, characterOrColumn) since 1.4.0
 setMethod("orderBy",
@@ -2076,6 +2140,7 @@ setMethod("orderBy",
 #' or a string containing a SQL statement
 #' @return A SparkDataFrame containing only the rows that meet the condition.
 #' @family SparkDataFrame functions
+#' @aliases filter,SparkDataFrame,characterOrColumn-method
 #' @rdname filter
 #' @name filter
 #' @family subsetting functions
@@ -2101,6 +2166,7 @@ setMethod("filter",
 
 #' @rdname filter
 #' @name where
+#' @aliases where,SparkDataFrame,characterOrColumn-method
 #' @note where since 1.4.0
 setMethod("where",
           signature(x = "SparkDataFrame", condition = "characterOrColumn"),
@@ -2118,6 +2184,7 @@ setMethod("where",
 #'            If the first argument contains a character vector, the followings are ignored.
 #' @return A SparkDataFrame with duplicate rows removed.
 #' @family SparkDataFrame functions
+#' @aliases dropDuplicates,SparkDataFrame-method
 #' @rdname dropDuplicates
 #' @name dropDuplicates
 #' @export
@@ -2164,6 +2231,7 @@ setMethod("dropDuplicates",
 #' 'right_outer', 'rightouter', 'right', and 'leftsemi'. The default joinType is "inner".
 #' @return A SparkDataFrame containing the result of the join operation.
 #' @family SparkDataFrame functions
+#' @aliases join,SparkDataFrame,SparkDataFrame-method
 #' @rdname join
 #' @name join
 #' @seealso \link{merge}
@@ -2223,6 +2291,7 @@ setMethod("join",
 #'   outer join will be returned. If all.x and all.y are set to TRUE, a full
 #'   outer join will be returned.
 #' @family SparkDataFrame functions
+#' @aliases merge,SparkDataFrame,SparkDataFrame-method
 #' @rdname merge
 #' @seealso \link{join}
 #' @export
@@ -2360,6 +2429,7 @@ generateAliasesForIntersectedCols <- function (x, intersectedColNames, suffix) {
 #' @family SparkDataFrame functions
 #' @rdname union
 #' @name union
+#' @aliases union,SparkDataFrame,SparkDataFrame-method
 #' @seealso \link{rbind}
 #' @export
 #' @examples
@@ -2381,6 +2451,7 @@ setMethod("union",
 #' unionAll is deprecated - use union instead
 #' @rdname union
 #' @name unionAll
+#' @aliases unionAll,SparkDataFrame,SparkDataFrame-method
 #' @export
 #' @note unionAll since 1.4.0
 setMethod("unionAll",
@@ -2399,6 +2470,7 @@ setMethod("unionAll",
 #' @param ... Additional SparkDataFrame
 #' @return A SparkDataFrame containing the result of the union.
 #' @family SparkDataFrame functions
+#' @aliases rbind,SparkDataFrame-method
 #' @rdname rbind
 #' @name rbind
 #' @seealso \link{union}
@@ -2428,6 +2500,7 @@ setMethod("rbind",
 #' @param y A SparkDataFrame
 #' @return A SparkDataFrame containing the result of the intersect.
 #' @family SparkDataFrame functions
+#' @aliases intersect,SparkDataFrame,SparkDataFrame-method
 #' @rdname intersect
 #' @name intersect
 #' @export
@@ -2455,6 +2528,7 @@ setMethod("intersect",
 #' @param y A SparkDataFrame
 #' @return A SparkDataFrame containing the result of the except operation.
 #' @family SparkDataFrame functions
+#' @aliases except,SparkDataFrame,SparkDataFrame-method
 #' @rdname except
 #' @name except
 #' @export
@@ -2498,6 +2572,7 @@ setMethod("except",
 #' @param mode One of 'append', 'overwrite', 'error', 'ignore' save mode (it is 'error' by default)
 #'
 #' @family SparkDataFrame functions
+#' @aliases write.df,SparkDataFrame,character-method
 #' @rdname write.df
 #' @name write.df
 #' @export
@@ -2529,6 +2604,7 @@ setMethod("write.df",
 
 #' @rdname write.df
 #' @name saveDF
+#' @aliases saveDF,SparkDataFrame,character-method
 #' @export
 #' @note saveDF since 1.4.0
 setMethod("saveDF",
@@ -2558,6 +2634,7 @@ setMethod("saveDF",
 #' @param mode One of 'append', 'overwrite', 'error', 'ignore' save mode (it is 'error' by default)
 #'
 #' @family SparkDataFrame functions
+#' @aliases saveAsTable,SparkDataFrame,character-method
 #' @rdname saveAsTable
 #' @name saveAsTable
 #' @export
@@ -2595,6 +2672,7 @@ setMethod("saveAsTable",
 #' @param ... Additional expressions
 #' @return A SparkDataFrame
 #' @family SparkDataFrame functions
+#' @aliases describe,SparkDataFrame,character-method describe,SparkDataFrame,ANY-method
 #' @rdname summary
 #' @name describe
 #' @export
@@ -2618,6 +2696,7 @@ setMethod("describe",
 
 #' @rdname summary
 #' @name describe
+#' @aliases describe,SparkDataFrame-method
 #' @note describe(SparkDataFrame) since 1.4.0
 setMethod("describe",
           signature(x = "SparkDataFrame"),
@@ -2628,6 +2707,7 @@ setMethod("describe",
 
 #' @rdname summary
 #' @name summary
+#' @aliases summary,SparkDataFrame-method
 #' @note summary(SparkDataFrame) since 1.5.0
 setMethod("summary",
           signature(object = "SparkDataFrame"),
@@ -2653,6 +2733,7 @@ setMethod("summary",
 #'
 #' @family SparkDataFrame functions
 #' @rdname nafunctions
+#' @aliases dropna,SparkDataFrame-method
 #' @name dropna
 #' @export
 #' @examples
@@ -2682,6 +2763,7 @@ setMethod("dropna",
 
 #' @rdname nafunctions
 #' @name na.omit
+#' @aliases na.omit,SparkDataFrame-method
 #' @export
 #' @note na.omit since 1.5.0
 setMethod("na.omit",
@@ -2707,6 +2789,7 @@ setMethod("na.omit",
 #'
 #' @rdname nafunctions
 #' @name fillna
+#' @aliases fillna,SparkDataFrame-method
 #' @export
 #' @examples
 #'\dontrun{
@@ -2770,6 +2853,7 @@ setMethod("fillna",
 #' @param x a SparkDataFrame
 #' @return a data.frame
 #' @family SparkDataFrame functions
+#' @aliases as.data.frame,SparkDataFrame-method
 #' @rdname as.data.frame
 #' @examples \dontrun{
 #'
@@ -2791,6 +2875,7 @@ setMethod("as.data.frame",
 #'
 #' @family SparkDataFrame functions
 #' @rdname attach
+#' @aliases attach,SparkDataFrame-method
 #' @param what (SparkDataFrame) The SparkDataFrame to attach
 #' @param pos (integer) Specify position in search() where to attach.
 #' @param name (character) Name to use for the attached SparkDataFrame. Names
@@ -2821,6 +2906,7 @@ setMethod("attach",
 #'
 #' @rdname with
 #' @family SparkDataFrame functions
+#' @aliases with,SparkDataFrame-method
 #' @param data (SparkDataFrame) SparkDataFrame to use for constructing an environment.
 #' @param expr (expression) Expression to evaluate.
 #' @param ... arguments to be passed to future methods.
@@ -2844,6 +2930,7 @@ setMethod("with",
 #'
 #' @name str
 #' @rdname str
+#' @aliases str,SparkDataFrame-method
 #' @family SparkDataFrame functions
 #' @param object a SparkDataFrame
 #' @examples \dontrun{
@@ -2925,6 +3012,7 @@ setMethod("str",
 #' @family SparkDataFrame functions
 #' @rdname drop
 #' @name drop
+#' @aliases drop,SparkDataFrame-method
 #' @export
 #' @examples
 #'\dontrun{
@@ -2950,6 +3038,10 @@ setMethod("drop",
           })
 
 # Expose base::drop
+#' @name drop
+#' @rdname drop
+#' @aliases drop,ANY-method
+#' @export
 setMethod("drop",
           signature(x = "ANY"),
           function(x) {
@@ -2966,6 +3058,7 @@ setMethod("drop",
 #' @param colname the name of the column to build the histogram from.
 #' @return a data.frame with the histogram statistics, i.e., counts and centroids.
 #' @rdname histogram
+#' @aliases histogram,SparkDataFrame,characterOrColumn-method
 #' @family SparkDataFrame functions
 #' @export
 #' @examples
@@ -3025,7 +3118,7 @@ setMethod("histogram",
               # columns AND all of them have names 100 characters long (which is very unlikely),
               # AND they run 1 billion histograms, the probability of collision will roughly be
               # 1 in 4.4 x 10 ^ 96
-              colname <- paste(base:::sample(c(letters, LETTERS),
+              colname <- paste(base::sample(c(letters, LETTERS),
                                              size = min(max(nchar(colnames(df))) + 1, 100),
                                              replace = TRUE),
                                collapse = "")
@@ -3100,6 +3193,7 @@ setMethod("histogram",
 #' @family SparkDataFrame functions
 #' @rdname write.jdbc
 #' @name write.jdbc
+#' @aliases write.jdbc,SparkDataFrame,character,character-method
 #' @export
 #' @examples
 #'\dontrun{
@@ -3127,6 +3221,7 @@ setMethod("write.jdbc",
 #' @param seed A seed to use for random split
 #'
 #' @family SparkDataFrame functions
+#' @aliases randomSplit,SparkDataFrame,numeric-method
 #' @rdname randomSplit
 #' @name randomSplit
 #' @export
diff --git a/R/pkg/R/SQLContext.R b/R/pkg/R/SQLContext.R
index d2ea1553c6..a14bcd91b3 100644
--- a/R/pkg/R/SQLContext.R
+++ b/R/pkg/R/SQLContext.R
@@ -269,6 +269,9 @@ as.DataFrame.default <- function(data, schema = NULL, samplingRatio = 1.0) {
   createDataFrame(data, schema, samplingRatio)
 }
 
+#' @rdname createDataFrame
+#' @aliases as.DataFrame
+#' @export
 as.DataFrame <- function(x, ...) {
   dispatchFunc("as.DataFrame(data, schema = NULL, samplingRatio = 1.0)", x, ...)
 }
diff --git a/R/pkg/R/WindowSpec.R b/R/pkg/R/WindowSpec.R
index e20d05dece..4746380096 100644
--- a/R/pkg/R/WindowSpec.R
+++ b/R/pkg/R/WindowSpec.R
@@ -58,6 +58,7 @@ setMethod("show", "WindowSpec",
 #' @return a WindowSpec
 #' @rdname partitionBy
 #' @name partitionBy
+#' @aliases partitionBy,WindowSpec-method
 #' @family windowspec_method
 #' @export
 #' @examples
@@ -89,6 +90,7 @@ setMethod("partitionBy",
 #' @return a WindowSpec
 #' @rdname arrange
 #' @name orderBy
+#' @aliases orderBy,WindowSpec,character-method
 #' @family windowspec_method
 #' @export
 #' @examples
@@ -105,6 +107,7 @@ setMethod("orderBy",
 
 #' @rdname arrange
 #' @name orderBy
+#' @aliases orderBy,WindowSpec,Column-method
 #' @export
 #' @note orderBy(WindowSpec, Column) since 2.0.0
 setMethod("orderBy",
@@ -131,6 +134,7 @@ setMethod("orderBy",
 #'            The frame is unbounded if this is the maximum long value.
 #' @return a WindowSpec
 #' @rdname rowsBetween
+#' @aliases rowsBetween,WindowSpec,numeric,numeric-method
 #' @name rowsBetween
 #' @family windowspec_method
 #' @export
@@ -162,6 +166,7 @@ setMethod("rowsBetween",
 #'            The frame is unbounded if this is the maximum long value.
 #' @return a WindowSpec
 #' @rdname rangeBetween
+#' @aliases rangeBetween,WindowSpec,numeric,numeric-method
 #' @name rangeBetween
 #' @family windowspec_method
 #' @export
@@ -187,6 +192,7 @@ setMethod("rangeBetween",
 #'
 #' @rdname over
 #' @name over
+#' @aliases over,Column,WindowSpec-method
 #' @family colum_func
 #' @export
 #' @note over since 2.0.0
diff --git a/R/pkg/R/column.R b/R/pkg/R/column.R
index 1a65912d3a..0edb9d2ae5 100644
--- a/R/pkg/R/column.R
+++ b/R/pkg/R/column.R
@@ -44,6 +44,9 @@ setMethod("initialize", "Column", function(.Object, jc) {
   .Object
 })
 
+#' @rdname column
+#' @name column
+#' @aliases column,jobj-method
 setMethod("column",
           signature(x = "jobj"),
           function(x) {
@@ -52,6 +55,7 @@ setMethod("column",
 
 #' @rdname show
 #' @name show
+#' @aliases show,Column-method
 #' @export
 #' @note show(Column) since 1.4.0
 setMethod("show", "Column",
@@ -131,8 +135,12 @@ createMethods()
 #'
 #' Set a new name for a column
 #'
+#' @param object Column to rename
+#' @param data new name to use
+#'
 #' @rdname alias
 #' @name alias
+#' @aliases alias,Column-method
 #' @family colum_func
 #' @export
 #' @note alias since 1.4.0
@@ -153,6 +161,7 @@ setMethod("alias",
 #' @rdname substr
 #' @name substr
 #' @family colum_func
+#' @aliases substr,Column-method
 #'
 #' @param start starting position
 #' @param stop ending position
@@ -171,8 +180,9 @@ setMethod("substr", signature(x = "Column"),
 #' @rdname startsWith
 #' @name startsWith
 #' @family colum_func
+#' @aliases startsWith,Column-method
 #'
-#' @param x vector of character string whose “starts” are considered
+#' @param x vector of character string whose "starts" are considered
 #' @param prefix character vector (often of length one)
 #' @note startsWith since 1.4.0
 setMethod("startsWith", signature(x = "Column"),
@@ -189,8 +199,9 @@ setMethod("startsWith", signature(x = "Column"),
 #' @rdname endsWith
 #' @name endsWith
 #' @family colum_func
+#' @aliases endsWith,Column-method
 #'
-#' @param x vector of character string whose “ends” are considered
+#' @param x vector of character string whose "ends" are considered
 #' @param suffix character vector (often of length one)
 #' @note endsWith since 1.4.0
 setMethod("endsWith", signature(x = "Column"),
@@ -206,6 +217,7 @@ setMethod("endsWith", signature(x = "Column"),
 #' @rdname between
 #' @name between
 #' @family colum_func
+#' @aliases between,Column-method
 #'
 #' @param bounds lower and upper bounds
 #' @note between since 1.5.0
@@ -224,10 +236,10 @@ setMethod("between", signature(x = "Column"),
 #' @rdname cast
 #' @name cast
 #' @family colum_func
+#' @aliases cast,Column-method
 #'
 #' @examples \dontrun{
 #'   cast(df$age, "string")
-#'   cast(df$name, list(type="array", elementType="byte", containsNull = TRUE))
 #' }
 #' @note cast since 1.4.0
 setMethod("cast",
@@ -235,12 +247,8 @@ setMethod("cast",
           function(x, dataType) {
             if (is.character(dataType)) {
               column(callJMethod(x@jc, "cast", dataType))
-            } else if (is.list(dataType)) {
-              json <- tojson(dataType)
-              jdataType <- callJStatic("org.apache.spark.sql.types.DataType", "fromJson", json)
-              column(callJMethod(x@jc, "cast", jdataType))
             } else {
-              stop("dataType should be character or list")
+              stop("dataType should be character")
             }
           })
 
@@ -248,7 +256,7 @@ setMethod("cast",
 #'
 #' @rdname match
 #' @name %in%
-#' @aliases %in%
+#' @aliases %in%,Column-method
 #' @return a matched values as a result of comparing with given values.
 #' @export
 #' @examples
@@ -272,6 +280,7 @@ setMethod("%in%",
 #' @rdname otherwise
 #' @name otherwise
 #' @family colum_func
+#' @aliases otherwise,Column-method
 #' @export
 #' @note otherwise since 1.5.0
 setMethod("otherwise",
diff --git a/R/pkg/R/functions.R b/R/pkg/R/functions.R
index 52d46f9d76..573c915a5c 100644
--- a/R/pkg/R/functions.R
+++ b/R/pkg/R/functions.R
@@ -27,6 +27,7 @@ NULL
 #' @rdname lit
 #' @name lit
 #' @export
+#' @aliases lit,ANY-method
 #' @examples
 #' \dontrun{
 #' lit(df$name)
@@ -46,11 +47,14 @@ setMethod("lit", signature("ANY"),
 #'
 #' Computes the absolute value.
 #'
+#' @param x Column to compute on.
+#'
 #' @rdname abs
 #' @name abs
 #' @family normal_funcs
 #' @export
 #' @examples \dontrun{abs(df$c)}
+#' @aliases abs,Column-method
 #' @note abs since 1.5.0
 setMethod("abs",
           signature(x = "Column"),
@@ -64,11 +68,14 @@ setMethod("abs",
 #' Computes the cosine inverse of the given value; the returned angle is in the range
 #' 0.0 through pi.
 #'
+#' @param x Column to compute on.
+#'
 #' @rdname acos
 #' @name acos
 #' @family math_funcs
 #' @export
 #' @examples \dontrun{acos(df$c)}
+#' @aliases acos,Column-method
 #' @note acos since 1.5.0
 setMethod("acos",
           signature(x = "Column"),
@@ -82,10 +89,13 @@ setMethod("acos",
 #' Returns the approximate number of distinct items in a group. This is a column
 #' aggregate function.
 #'
+#' @param x Column to compute on.
+#'
 #' @rdname approxCountDistinct
 #' @name approxCountDistinct
 #' @return the approximate number of distinct items in a group.
 #' @export
+#' @aliases approxCountDistinct,Column-method
 #' @examples \dontrun{approxCountDistinct(df$c)}
 #' @note approxCountDistinct(Column) since 1.4.0
 setMethod("approxCountDistinct",
@@ -100,10 +110,13 @@ setMethod("approxCountDistinct",
 #' Computes the numeric value of the first character of the string column, and returns the
 #' result as a int column.
 #'
+#' @param x Column to compute on.
+#'
 #' @rdname ascii
 #' @name ascii
 #' @family string_funcs
 #' @export
+#' @aliases ascii,Column-method
 #' @examples \dontrun{\dontrun{ascii(df$c)}}
 #' @note ascii since 1.5.0
 setMethod("ascii",
@@ -118,10 +131,13 @@ setMethod("ascii",
 #' Computes the sine inverse of the given value; the returned angle is in the range
 #' -pi/2 through pi/2.
 #'
+#' @param x Column to compute on.
+#'
 #' @rdname asin
 #' @name asin
 #' @family math_funcs
 #' @export
+#' @aliases asin,Column-method
 #' @examples \dontrun{asin(df$c)}
 #' @note asin since 1.5.0
 setMethod("asin",
@@ -135,10 +151,13 @@ setMethod("asin",
 #'
 #' Computes the tangent inverse of the given value.
 #'
+#' @param x Column to compute on.
+#'
 #' @rdname atan
 #' @name atan
 #' @family math_funcs
 #' @export
+#' @aliases atan,Column-method
 #' @examples \dontrun{atan(df$c)}
 #' @note atan since 1.5.0
 setMethod("atan",
@@ -152,10 +171,13 @@ setMethod("atan",
 #'
 #' Aggregate function: returns the average of the values in a group.
 #'
+#' @param x Column to compute on.
+#'
 #' @rdname avg
 #' @name avg
 #' @family agg_funcs
 #' @export
+#' @aliases avg,Column-method
 #' @examples \dontrun{avg(df$c)}
 #' @note avg since 1.4.0
 setMethod("avg",
@@ -170,10 +192,13 @@ setMethod("avg",
 #' Computes the BASE64 encoding of a binary column and returns it as a string column.
 #' This is the reverse of unbase64.
 #'
+#' @param x Column to compute on.
+#'
 #' @rdname base64
 #' @name base64
 #' @family string_funcs
 #' @export
+#' @aliases base64,Column-method
 #' @examples \dontrun{base64(df$c)}
 #' @note base64 since 1.5.0
 setMethod("base64",
@@ -188,10 +213,13 @@ setMethod("base64",
 #' An expression that returns the string representation of the binary value of the given long
 #' column. For example, bin("12") returns "1100".
 #'
+#' @param x Column to compute on.
+#'
 #' @rdname bin
 #' @name bin
 #' @family math_funcs
 #' @export
+#' @aliases bin,Column-method
 #' @examples \dontrun{bin(df$c)}
 #' @note bin since 1.5.0
 setMethod("bin",
@@ -205,10 +233,13 @@ setMethod("bin",
 #'
 #' Computes bitwise NOT.
 #'
+#' @param x Column to compute on.
+#'
 #' @rdname bitwiseNOT
 #' @name bitwiseNOT
 #' @family normal_funcs
 #' @export
+#' @aliases bitwiseNOT,Column-method
 #' @examples \dontrun{bitwiseNOT(df$c)}
 #' @note bitwiseNOT since 1.5.0
 setMethod("bitwiseNOT",
@@ -222,10 +253,13 @@ setMethod("bitwiseNOT",
 #'
 #' Computes the cube-root of the given value.
 #'
+#' @param x Column to compute on.
+#'
 #' @rdname cbrt
 #' @name cbrt
 #' @family math_funcs
 #' @export
+#' @aliases cbrt,Column-method
 #' @examples \dontrun{cbrt(df$c)}
 #' @note cbrt since 1.4.0
 setMethod("cbrt",
@@ -239,10 +273,13 @@ setMethod("cbrt",
 #'
 #' Computes the ceiling of the given value.
 #'
+#' @param x Column to compute on.
+#'
 #' @rdname ceil
 #' @name ceil
 #' @family math_funcs
 #' @export
+#' @aliases ceil,Column-method
 #' @examples \dontrun{ceil(df$c)}
 #' @note ceil since 1.5.0
 setMethod("ceil",
@@ -263,11 +300,14 @@ col <- function(x) {
 #' Returns a Column based on the given column name
 #'
 #' Returns a Column based on the given column name.
+#
+#' @param x Character column name.
 #'
 #' @rdname column
 #' @name column
 #' @family normal_funcs
 #' @export
+#' @aliases column,character-method
 #' @examples \dontrun{column(df)}
 #' @note column since 1.6.0
 setMethod("column",
@@ -279,10 +319,13 @@ setMethod("column",
 #'
 #' Computes the Pearson Correlation Coefficient for two Columns.
 #'
+#' @param x Column to compute on.
+#'
 #' @rdname corr
 #' @name corr
 #' @family math_funcs
 #' @export
+#' @aliases corr,Column-method
 #' @examples \dontrun{corr(df$c, df$d)}
 #' @note corr since 1.6.0
 setMethod("corr", signature(x = "Column"),
@@ -296,10 +339,13 @@ setMethod("corr", signature(x = "Column"),
 #'
 #' Compute the sample covariance between two expressions.
 #'
+#' @param x Column to compute on.
+#'
 #' @rdname cov
 #' @name cov
 #' @family math_funcs
 #' @export
+#' @aliases cov,characterOrColumn-method
 #' @examples
 #' \dontrun{
 #' cov(df$c, df$d)
@@ -315,7 +361,11 @@ setMethod("cov", signature(x = "characterOrColumn"),
           })
 
 #' @rdname cov
+#'
+#' @param col1 First column to compute cov_samp.
+#' @param col2 Second column to compute cov_samp.
 #' @name covar_samp
+#' @aliases covar_samp,characterOrColumn,characterOrColumn-method
 #' @note covar_samp since 2.0.0
 setMethod("covar_samp", signature(col1 = "characterOrColumn", col2 = "characterOrColumn"),
           function(col1, col2) {
@@ -332,10 +382,14 @@ setMethod("covar_samp", signature(col1 = "characterOrColumn", col2 = "characterO
 #'
 #' Compute the population covariance between two expressions.
 #'
+#' @param col1 First column to compute cov_pop.
+#' @param col2 Second column to compute cov_pop.
+#'
 #' @rdname covar_pop
 #' @name covar_pop
 #' @family math_funcs
 #' @export
+#' @aliases covar_pop,characterOrColumn,characterOrColumn-method
 #' @examples
 #' \dontrun{
 #' covar_pop(df$c, df$d)
@@ -357,9 +411,12 @@ setMethod("covar_pop", signature(col1 = "characterOrColumn", col2 = "characterOr
 #'
 #' Computes the cosine of the given value.
 #'
+#' @param x Column to compute on.
+#'
 #' @rdname cos
 #' @name cos
 #' @family math_funcs
+#' @aliases cos,Column-method
 #' @export
 #' @examples \dontrun{cos(df$c)}
 #' @note cos since 1.5.0
@@ -374,9 +431,12 @@ setMethod("cos",
 #'
 #' Computes the hyperbolic cosine of the given value.
 #'
+#' @param x Column to compute on.
+#'
 #' @rdname cosh
 #' @name cosh
 #' @family math_funcs
+#' @aliases cosh,Column-method
 #' @export
 #' @examples \dontrun{cosh(df$c)}
 #' @note cosh since 1.5.0
@@ -391,9 +451,12 @@ setMethod("cosh",
 #'
 #' Returns the number of items in a group. This is a column aggregate function.
 #'
-#' @rdname count
+#' @param x Column to compute on.
+#'
+#' @rdname nrow
 #' @name count
 #' @family agg_funcs
+#' @aliases count,Column-method
 #' @export
 #' @examples \dontrun{count(df$c)}
 #' @note count since 1.4.0
@@ -409,9 +472,12 @@ setMethod("count",
 #' Calculates the cyclic redundancy check value  (CRC32) of a binary column and
 #' returns the value as a bigint.
 #'
+#' @param x Column to compute on.
+#'
 #' @rdname crc32
 #' @name crc32
 #' @family misc_funcs
+#' @aliases crc32,Column-method
 #' @export
 #' @examples \dontrun{crc32(df$c)}
 #' @note crc32 since 1.5.0
@@ -426,9 +492,12 @@ setMethod("crc32",
 #'
 #' Calculates the hash code of given columns, and returns the result as a int column.
 #'
+#' @param x Column to compute on.
+#'
 #' @rdname hash
 #' @name hash
 #' @family misc_funcs
+#' @aliases hash,Column-method
 #' @export
 #' @examples \dontrun{hash(df$c)}
 #' @note hash since 2.0.0
@@ -447,9 +516,12 @@ setMethod("hash",
 #'
 #' Extracts the day of the month as an integer from a given date/timestamp/string.
 #'
+#' @param x Column to compute on.
+#'
 #' @rdname dayofmonth
 #' @name dayofmonth
 #' @family datetime_funcs
+#' @aliases dayofmonth,Column-method
 #' @export
 #' @examples \dontrun{dayofmonth(df$c)}
 #' @note dayofmonth since 1.5.0
@@ -464,9 +536,12 @@ setMethod("dayofmonth",
 #'
 #' Extracts the day of the year as an integer from a given date/timestamp/string.
 #'
+#' @param x Column to compute on.
+#'
 #' @rdname dayofyear
 #' @name dayofyear
 #' @family datetime_funcs
+#' @aliases dayofyear,Column-method
 #' @export
 #' @examples \dontrun{dayofyear(df$c)}
 #' @note dayofyear since 1.5.0
@@ -482,9 +557,13 @@ setMethod("dayofyear",
 #' Computes the first argument into a string from a binary using the provided character set
 #' (one of 'US-ASCII', 'ISO-8859-1', 'UTF-8', 'UTF-16BE', 'UTF-16LE', 'UTF-16').
 #'
+#' @param x Column to compute on.
+#' @param charset Character set to use
+#'
 #' @rdname decode
 #' @name decode
 #' @family string_funcs
+#' @aliases decode,Column,character-method
 #' @export
 #' @examples \dontrun{decode(df$c, "UTF-8")}
 #' @note decode since 1.6.0
@@ -500,9 +579,13 @@ setMethod("decode",
 #' Computes the first argument into a binary from a string using the provided character set
 #' (one of 'US-ASCII', 'ISO-8859-1', 'UTF-8', 'UTF-16BE', 'UTF-16LE', 'UTF-16').
 #'
+#' @param x Column to compute on.
+#' @param charset Character set to use
+#'
 #' @rdname encode
 #' @name encode
 #' @family string_funcs
+#' @aliases encode,Column,character-method
 #' @export
 #' @examples \dontrun{encode(df$c, "UTF-8")}
 #' @note encode since 1.6.0
@@ -517,9 +600,12 @@ setMethod("encode",
 #'
 #' Computes the exponential of the given value.
 #'
+#' @param x Column to compute on.
+#'
 #' @rdname exp
 #' @name exp
 #' @family math_funcs
+#' @aliases exp,Column-method
 #' @export
 #' @examples \dontrun{exp(df$c)}
 #' @note exp since 1.5.0
@@ -534,8 +620,11 @@ setMethod("exp",
 #'
 #' Computes the exponential of the given value minus one.
 #'
+#' @param x Column to compute on.
+#'
 #' @rdname expm1
 #' @name expm1
+#' @aliases expm1,Column-method
 #' @family math_funcs
 #' @export
 #' @examples \dontrun{expm1(df$c)}
@@ -551,8 +640,11 @@ setMethod("expm1",
 #'
 #' Computes the factorial of the given value.
 #'
+#' @param x Column to compute on.
+#'
 #' @rdname factorial
 #' @name factorial
+#' @aliases factorial,Column-method
 #' @family math_funcs
 #' @export
 #' @examples \dontrun{factorial(df$c)}
@@ -571,8 +663,11 @@ setMethod("factorial",
 #' The function by default returns the first values it sees. It will return the first non-missing
 #' value it sees when na.rm is set to true. If all values are missing, then NA is returned.
 #'
+#' @param x Column to compute on.
+#'
 #' @rdname first
 #' @name first
+#' @aliases first,characterOrColumn-method
 #' @family agg_funcs
 #' @export
 #' @examples
@@ -597,8 +692,11 @@ setMethod("first",
 #'
 #' Computes the floor of the given value.
 #'
+#' @param x Column to compute on.
+#'
 #' @rdname floor
 #' @name floor
+#' @aliases floor,Column-method
 #' @family math_funcs
 #' @export
 #' @examples \dontrun{floor(df$c)}
@@ -614,9 +712,12 @@ setMethod("floor",
 #'
 #' Computes hex value of the given column.
 #'
+#' @param x Column to compute on.
+#'
 #' @rdname hex
 #' @name hex
 #' @family math_funcs
+#' @aliases hex,Column-method
 #' @export
 #' @examples \dontrun{hex(df$c)}
 #' @note hex since 1.5.0
@@ -631,8 +732,11 @@ setMethod("hex",
 #'
 #' Extracts the hours as an integer from a given date/timestamp/string.
 #'
+#' @param x Column to compute on.
+#'
 #' @rdname hour
 #' @name hour
+#' @aliases hour,Column-method
 #' @family datetime_funcs
 #' @export
 #' @examples \dontrun{hour(df$c)}
@@ -651,9 +755,12 @@ setMethod("hour",
 #'
 #' For example, "hello world" will become "Hello World".
 #'
+#' @param x Column to compute on.
+#'
 #' @rdname initcap
 #' @name initcap
 #' @family string_funcs
+#' @aliases initcap,Column-method
 #' @export
 #' @examples \dontrun{initcap(df$c)}
 #' @note initcap since 1.5.0
@@ -668,9 +775,12 @@ setMethod("initcap",
 #'
 #' Return true if the column is NaN, alias for \link{isnan}
 #'
+#' @param x Column to compute on.
+#'
 #' @rdname is.nan
 #' @name is.nan
 #' @family normal_funcs
+#' @aliases is.nan,Column-method
 #' @export
 #' @examples
 #' \dontrun{
@@ -686,6 +796,7 @@ setMethod("is.nan",
 
 #' @rdname is.nan
 #' @name isnan
+#' @aliases isnan,Column-method
 #' @note isnan since 2.0.0
 setMethod("isnan",
           signature(x = "Column"),
@@ -698,8 +809,11 @@ setMethod("isnan",
 #'
 #' Aggregate function: returns the kurtosis of the values in a group.
 #'
+#' @param x Column to compute on.
+#'
 #' @rdname kurtosis
 #' @name kurtosis
+#' @aliases kurtosis,Column-method
 #' @family agg_funcs
 #' @export
 #' @examples \dontrun{kurtosis(df$c)}
@@ -718,8 +832,11 @@ setMethod("kurtosis",
 #' The function by default returns the last values it sees. It will return the last non-missing
 #' value it sees when na.rm is set to true. If all values are missing, then NA is returned.
 #'
+#' @param x Column to compute on.
+#'
 #' @rdname last
 #' @name last
+#' @aliases last,characterOrColumn-method
 #' @family agg_funcs
 #' @export
 #' @examples
@@ -746,8 +863,11 @@ setMethod("last",
 #' For example, input "2015-07-27" returns "2015-07-31" since July 31 is the last day of the
 #' month in July 2015.
 #'
+#' @param x Column to compute on.
+#'
 #' @rdname last_day
 #' @name last_day
+#' @aliases last_day,Column-method
 #' @family datetime_funcs
 #' @export
 #' @examples \dontrun{last_day(df$c)}
@@ -763,8 +883,11 @@ setMethod("last_day",
 #'
 #' Computes the length of a given string or binary column.
 #'
+#' @param x Column to compute on.
+#'
 #' @rdname length
 #' @name length
+#' @aliases length,Column-method
 #' @family string_funcs
 #' @export
 #' @examples \dontrun{length(df$c)}
@@ -780,8 +903,11 @@ setMethod("length",
 #'
 #' Computes the natural logarithm of the given value.
 #'
+#' @param x Column to compute on.
+#'
 #' @rdname log
 #' @name log
+#' @aliases log,Column-method
 #' @family math_funcs
 #' @export
 #' @examples \dontrun{log(df$c)}
@@ -797,9 +923,12 @@ setMethod("log",
 #'
 #' Computes the logarithm of the given value in base 10.
 #'
+#' @param x Column to compute on.
+#'
 #' @rdname log10
 #' @name log10
 #' @family math_funcs
+#' @aliases log10,Column-method
 #' @export
 #' @examples \dontrun{log10(df$c)}
 #' @note log10 since 1.5.0
@@ -814,9 +943,12 @@ setMethod("log10",
 #'
 #' Computes the natural logarithm of the given value plus one.
 #'
+#' @param x Column to compute on.
+#'
 #' @rdname log1p
 #' @name log1p
 #' @family math_funcs
+#' @aliases log1p,Column-method
 #' @export
 #' @examples \dontrun{log1p(df$c)}
 #' @note log1p since 1.5.0
@@ -831,9 +963,12 @@ setMethod("log1p",
 #'
 #' Computes the logarithm of the given column in base 2.
 #'
+#' @param x Column to compute on.
+#'
 #' @rdname log2
 #' @name log2
 #' @family math_funcs
+#' @aliases log2,Column-method
 #' @export
 #' @examples \dontrun{log2(df$c)}
 #' @note log2 since 1.5.0
@@ -848,9 +983,12 @@ setMethod("log2",
 #'
 #' Converts a string column to lower case.
 #'
+#' @param x Column to compute on.
+#'
 #' @rdname lower
 #' @name lower
 #' @family string_funcs
+#' @aliases lower,Column-method
 #' @export
 #' @examples \dontrun{lower(df$c)}
 #' @note lower since 1.4.0
@@ -865,9 +1003,12 @@ setMethod("lower",
 #'
 #' Trim the spaces from left end for the specified string value.
 #'
+#' @param x Column to compute on.
+#'
 #' @rdname ltrim
 #' @name ltrim
 #' @family string_funcs
+#' @aliases ltrim,Column-method
 #' @export
 #' @examples \dontrun{ltrim(df$c)}
 #' @note ltrim since 1.5.0
@@ -882,9 +1023,12 @@ setMethod("ltrim",
 #'
 #' Aggregate function: returns the maximum value of the expression in a group.
 #'
+#' @param x Column to compute on.
+#'
 #' @rdname max
 #' @name max
 #' @family agg_funcs
+#' @aliases max,Column-method
 #' @export
 #' @examples \dontrun{max(df$c)}
 #' @note max since 1.5.0
@@ -900,9 +1044,12 @@ setMethod("max",
 #' Calculates the MD5 digest of a binary column and returns the value
 #' as a 32 character hex string.
 #'
+#' @param x Column to compute on.
+#'
 #' @rdname md5
 #' @name md5
 #' @family misc_funcs
+#' @aliases md5,Column-method
 #' @export
 #' @examples \dontrun{md5(df$c)}
 #' @note md5 since 1.5.0
@@ -918,9 +1065,12 @@ setMethod("md5",
 #' Aggregate function: returns the average of the values in a group.
 #' Alias for avg.
 #'
+#' @param x Column to compute on.
+#'
 #' @rdname mean
 #' @name mean
 #' @family agg_funcs
+#' @aliases mean,Column-method
 #' @export
 #' @examples \dontrun{mean(df$c)}
 #' @note mean since 1.5.0
@@ -935,8 +1085,11 @@ setMethod("mean",
 #'
 #' Aggregate function: returns the minimum value of the expression in a group.
 #'
+#' @param x Column to compute on.
+#'
 #' @rdname min
 #' @name min
+#' @aliases min,Column-method
 #' @family agg_funcs
 #' @export
 #' @examples \dontrun{min(df$c)}
@@ -952,8 +1105,11 @@ setMethod("min",
 #'
 #' Extracts the minutes as an integer from a given date/timestamp/string.
 #'
+#' @param x Column to compute on.
+#'
 #' @rdname minute
 #' @name minute
+#' @aliases minute,Column-method
 #' @family datetime_funcs
 #' @export
 #' @examples \dontrun{minute(df$c)}
@@ -981,6 +1137,7 @@ setMethod("minute",
 #' This is equivalent to the MONOTONICALLY_INCREASING_ID function in SQL.
 #'
 #' @rdname monotonically_increasing_id
+#' @aliases monotonically_increasing_id,missing-method
 #' @name monotonically_increasing_id
 #' @family misc_funcs
 #' @export
@@ -996,8 +1153,11 @@ setMethod("monotonically_increasing_id",
 #'
 #' Extracts the month as an integer from a given date/timestamp/string.
 #'
+#' @param x Column to compute on.
+#'
 #' @rdname month
 #' @name month
+#' @aliases month,Column-method
 #' @family datetime_funcs
 #' @export
 #' @examples \dontrun{month(df$c)}
@@ -1013,9 +1173,12 @@ setMethod("month",
 #'
 #' Unary minus, i.e. negate the expression.
 #'
+#' @param x Column to compute on.
+#'
 #' @rdname negate
 #' @name negate
 #' @family normal_funcs
+#' @aliases negate,Column-method
 #' @export
 #' @examples \dontrun{negate(df$c)}
 #' @note negate since 1.5.0
@@ -1030,9 +1193,12 @@ setMethod("negate",
 #'
 #' Extracts the quarter as an integer from a given date/timestamp/string.
 #'
+#' @param x Column to compute on.
+#'
 #' @rdname quarter
 #' @name quarter
 #' @family datetime_funcs
+#' @aliases quarter,Column-method
 #' @export
 #' @examples \dontrun{quarter(df$c)}
 #' @note quarter since 1.5.0
@@ -1047,9 +1213,12 @@ setMethod("quarter",
 #'
 #' Reverses the string column and returns it as a new string column.
 #'
+#' @param x Column to compute on.
+#'
 #' @rdname reverse
 #' @name reverse
 #' @family string_funcs
+#' @aliases reverse,Column-method
 #' @export
 #' @examples \dontrun{reverse(df$c)}
 #' @note reverse since 1.5.0
@@ -1065,9 +1234,12 @@ setMethod("reverse",
 #' Returns the double value that is closest in value to the argument and
 #' is equal to a mathematical integer.
 #'
+#' @param x Column to compute on.
+#'
 #' @rdname rint
 #' @name rint
 #' @family math_funcs
+#' @aliases rint,Column-method
 #' @export
 #' @examples \dontrun{rint(df$c)}
 #' @note rint since 1.5.0
@@ -1082,9 +1254,12 @@ setMethod("rint",
 #'
 #' Returns the value of the column `e` rounded to 0 decimal places using HALF_UP rounding mode.
 #'
+#' @param x Column to compute on.
+#'
 #' @rdname round
 #' @name round
 #' @family math_funcs
+#' @aliases round,Column-method
 #' @export
 #' @examples \dontrun{round(df$c)}
 #' @note round since 1.5.0
@@ -1102,9 +1277,12 @@ setMethod("round",
 #' Also known as Gaussian rounding or bankers' rounding that rounds to the nearest even number.
 #' bround(2.5, 0) = 2, bround(3.5, 0) = 4.
 #'
+#' @param x Column to compute on.
+#'
 #' @rdname bround
 #' @name bround
 #' @family math_funcs
+#' @aliases bround,Column-method
 #' @export
 #' @examples \dontrun{bround(df$c, 0)}
 #' @note bround since 2.0.0
@@ -1120,9 +1298,12 @@ setMethod("bround",
 #'
 #' Trim the spaces from right end for the specified string value.
 #'
+#' @param x Column to compute on.
+#'
 #' @rdname rtrim
 #' @name rtrim
 #' @family string_funcs
+#' @aliases rtrim,Column-method
 #' @export
 #' @examples \dontrun{rtrim(df$c)}
 #' @note rtrim since 1.5.0
@@ -1137,9 +1318,12 @@ setMethod("rtrim",
 #'
 #' Aggregate function: alias for \link{stddev_samp}
 #'
+#' @param x Column to compute on.
+#'
 #' @rdname sd
 #' @name sd
 #' @family agg_funcs
+#' @aliases sd,Column-method
 #' @seealso \link{stddev_pop}, \link{stddev_samp}
 #' @export
 #' @examples
@@ -1160,9 +1344,12 @@ setMethod("sd",
 #'
 #' Extracts the seconds as an integer from a given date/timestamp/string.
 #'
+#' @param x Column to compute on.
+#'
 #' @rdname second
 #' @name second
 #' @family datetime_funcs
+#' @aliases second,Column-method
 #' @export
 #' @examples \dontrun{second(df$c)}
 #' @note second since 1.5.0
@@ -1178,9 +1365,12 @@ setMethod("second",
 #' Calculates the SHA-1 digest of a binary column and returns the value
 #' as a 40 character hex string.
 #'
+#' @param x Column to compute on.
+#'
 #' @rdname sha1
 #' @name sha1
 #' @family misc_funcs
+#' @aliases sha1,Column-method
 #' @export
 #' @examples \dontrun{sha1(df$c)}
 #' @note sha1 since 1.5.0
@@ -1195,8 +1385,11 @@ setMethod("sha1",
 #'
 #' Computes the signum of the given value.
 #'
+#' @param x Column to compute on.
+#'
 #' @rdname sign
 #' @name signum
+#' @aliases signum,Column-method
 #' @family math_funcs
 #' @export
 #' @examples \dontrun{signum(df$c)}
@@ -1212,9 +1405,12 @@ setMethod("signum",
 #'
 #' Computes the sine of the given value.
 #'
+#' @param x Column to compute on.
+#'
 #' @rdname sin
 #' @name sin
 #' @family math_funcs
+#' @aliases sin,Column-method
 #' @export
 #' @examples \dontrun{sin(df$c)}
 #' @note sin since 1.5.0
@@ -1229,9 +1425,12 @@ setMethod("sin",
 #'
 #' Computes the hyperbolic sine of the given value.
 #'
+#' @param x Column to compute on.
+#'
 #' @rdname sinh
 #' @name sinh
 #' @family math_funcs
+#' @aliases sinh,Column-method
 #' @export
 #' @examples \dontrun{sinh(df$c)}
 #' @note sinh since 1.5.0
@@ -1246,9 +1445,12 @@ setMethod("sinh",
 #'
 #' Aggregate function: returns the skewness of the values in a group.
 #'
+#' @param x Column to compute on.
+#'
 #' @rdname skewness
 #' @name skewness
 #' @family agg_funcs
+#' @aliases skewness,Column-method
 #' @export
 #' @examples \dontrun{skewness(df$c)}
 #' @note skewness since 1.6.0
@@ -1263,9 +1465,12 @@ setMethod("skewness",
 #'
 #' Return the soundex code for the specified expression.
 #'
+#' @param x Column to compute on.
+#'
 #' @rdname soundex
 #' @name soundex
 #' @family string_funcs
+#' @aliases soundex,Column-method
 #' @export
 #' @examples \dontrun{soundex(df$c)}
 #' @note soundex since 1.5.0
@@ -1286,6 +1491,7 @@ setMethod("soundex",
 #'
 #' @rdname spark_partition_id
 #' @name spark_partition_id
+#' @aliases spark_partition_id,missing-method
 #' @export
 #' @examples
 #' \dontrun{select(df, spark_partition_id())}
@@ -1298,6 +1504,7 @@ setMethod("spark_partition_id",
           })
 
 #' @rdname sd
+#' @aliases stddev,Column-method
 #' @name stddev
 #' @note stddev since 1.6.0
 setMethod("stddev",
@@ -1311,9 +1518,12 @@ setMethod("stddev",
 #'
 #' Aggregate function: returns the population standard deviation of the expression in a group.
 #'
+#' @param x Column to compute on.
+#'
 #' @rdname stddev_pop
 #' @name stddev_pop
 #' @family agg_funcs
+#' @aliases stddev_pop,Column-method
 #' @seealso \link{sd}, \link{stddev_samp}
 #' @export
 #' @examples \dontrun{stddev_pop(df$c)}
@@ -1329,9 +1539,12 @@ setMethod("stddev_pop",
 #'
 #' Aggregate function: returns the unbiased sample standard deviation of the expression in a group.
 #'
+#' @param x Column to compute on.
+#'
 #' @rdname stddev_samp
 #' @name stddev_samp
 #' @family agg_funcs
+#' @aliases stddev_samp,Column-method
 #' @seealso \link{stddev_pop}, \link{sd}
 #' @export
 #' @examples \dontrun{stddev_samp(df$c)}
@@ -1347,9 +1560,12 @@ setMethod("stddev_samp",
 #'
 #' Creates a new struct column that composes multiple input columns.
 #'
+#' @param x Column to compute on.
+#'
 #' @rdname struct
 #' @name struct
 #' @family normal_funcs
+#' @aliases struct,characterOrColumn-method
 #' @export
 #' @examples
 #' \dontrun{
@@ -1373,9 +1589,12 @@ setMethod("struct",
 #'
 #' Computes the square root of the specified float value.
 #'
+#' @param x Column to compute on.
+#'
 #' @rdname sqrt
 #' @name sqrt
 #' @family math_funcs
+#' @aliases sqrt,Column-method
 #' @export
 #' @examples \dontrun{sqrt(df$c)}
 #' @note sqrt since 1.5.0
@@ -1390,9 +1609,12 @@ setMethod("sqrt",
 #'
 #' Aggregate function: returns the sum of all values in the expression.
 #'
+#' @param x Column to compute on.
+#'
 #' @rdname sum
 #' @name sum
 #' @family agg_funcs
+#' @aliases sum,Column-method
 #' @export
 #' @examples \dontrun{sum(df$c)}
 #' @note sum since 1.5.0
@@ -1407,9 +1629,12 @@ setMethod("sum",
 #'
 #' Aggregate function: returns the sum of distinct values in the expression.
 #'
+#' @param x Column to compute on.
+#'
 #' @rdname sumDistinct
 #' @name sumDistinct
 #' @family agg_funcs
+#' @aliases sumDistinct,Column-method
 #' @export
 #' @examples \dontrun{sumDistinct(df$c)}
 #' @note sumDistinct since 1.4.0
@@ -1424,9 +1649,12 @@ setMethod("sumDistinct",
 #'
 #' Computes the tangent of the given value.
 #'
+#' @param x Column to compute on.
+#'
 #' @rdname tan
 #' @name tan
 #' @family math_funcs
+#' @aliases tan,Column-method
 #' @export
 #' @examples \dontrun{tan(df$c)}
 #' @note tan since 1.5.0
@@ -1441,9 +1669,12 @@ setMethod("tan",
 #'
 #' Computes the hyperbolic tangent of the given value.
 #'
+#' @param x Column to compute on.
+#'
 #' @rdname tanh
 #' @name tanh
 #' @family math_funcs
+#' @aliases tanh,Column-method
 #' @export
 #' @examples \dontrun{tanh(df$c)}
 #' @note tanh since 1.5.0
@@ -1458,9 +1689,12 @@ setMethod("tanh",
 #'
 #' Converts an angle measured in radians to an approximately equivalent angle measured in degrees.
 #'
+#' @param x Column to compute on.
+#'
 #' @rdname toDegrees
 #' @name toDegrees
 #' @family math_funcs
+#' @aliases toDegrees,Column-method
 #' @export
 #' @examples \dontrun{toDegrees(df$c)}
 #' @note toDegrees since 1.4.0
@@ -1475,9 +1709,12 @@ setMethod("toDegrees",
 #'
 #' Converts an angle measured in degrees to an approximately equivalent angle measured in radians.
 #'
+#' @param x Column to compute on.
+#'
 #' @rdname toRadians
 #' @name toRadians
 #' @family math_funcs
+#' @aliases toRadians,Column-method
 #' @export
 #' @examples \dontrun{toRadians(df$c)}
 #' @note toRadians since 1.4.0
@@ -1492,9 +1729,12 @@ setMethod("toRadians",
 #'
 #' Converts the column into DateType.
 #'
+#' @param x Column to compute on.
+#'
 #' @rdname to_date
 #' @name to_date
 #' @family datetime_funcs
+#' @aliases to_date,Column-method
 #' @export
 #' @examples \dontrun{to_date(df$c)}
 #' @note to_date since 1.5.0
@@ -1509,9 +1749,12 @@ setMethod("to_date",
 #'
 #' Trim the spaces from both ends for the specified string column.
 #'
+#' @param x Column to compute on.
+#'
 #' @rdname trim
 #' @name trim
 #' @family string_funcs
+#' @aliases trim,Column-method
 #' @export
 #' @examples \dontrun{trim(df$c)}
 #' @note trim since 1.5.0
@@ -1527,9 +1770,12 @@ setMethod("trim",
 #' Decodes a BASE64 encoded string column and returns it as a binary column.
 #' This is the reverse of base64.
 #'
+#' @param x Column to compute on.
+#'
 #' @rdname unbase64
 #' @name unbase64
 #' @family string_funcs
+#' @aliases unbase64,Column-method
 #' @export
 #' @examples \dontrun{unbase64(df$c)}
 #' @note unbase64 since 1.5.0
@@ -1545,9 +1791,12 @@ setMethod("unbase64",
 #' Inverse of hex. Interprets each pair of characters as a hexadecimal number
 #' and converts to the byte representation of number.
 #'
+#' @param x Column to compute on.
+#'
 #' @rdname unhex
 #' @name unhex
 #' @family math_funcs
+#' @aliases unhex,Column-method
 #' @export
 #' @examples \dontrun{unhex(df$c)}
 #' @note unhex since 1.5.0
@@ -1562,9 +1811,12 @@ setMethod("unhex",
 #'
 #' Converts a string column to upper case.
 #'
+#' @param x Column to compute on.
+#'
 #' @rdname upper
 #' @name upper
 #' @family string_funcs
+#' @aliases upper,Column-method
 #' @export
 #' @examples \dontrun{upper(df$c)}
 #' @note upper since 1.4.0
@@ -1579,9 +1831,12 @@ setMethod("upper",
 #'
 #' Aggregate function: alias for \link{var_samp}.
 #'
+#' @param x Column to compute on.
+#'
 #' @rdname var
 #' @name var
 #' @family agg_funcs
+#' @aliases var,Column-method
 #' @seealso \link{var_pop}, \link{var_samp}
 #' @export
 #' @examples
@@ -1599,6 +1854,7 @@ setMethod("var",
           })
 
 #' @rdname var
+#' @aliases variance,Column-method
 #' @name variance
 #' @note variance since 1.6.0
 setMethod("variance",
@@ -1612,9 +1868,12 @@ setMethod("variance",
 #'
 #' Aggregate function: returns the population variance of the values in a group.
 #'
+#' @param x Column to compute on.
+#'
 #' @rdname var_pop
 #' @name var_pop
 #' @family agg_funcs
+#' @aliases var_pop,Column-method
 #' @seealso \link{var}, \link{var_samp}
 #' @export
 #' @examples \dontrun{var_pop(df$c)}
@@ -1630,8 +1889,11 @@ setMethod("var_pop",
 #'
 #' Aggregate function: returns the unbiased variance of the values in a group.
 #'
+#' @param x Column to compute on.
+#'
 #' @rdname var_samp
 #' @name var_samp
+#' @aliases var_samp,Column-method
 #' @family agg_funcs
 #' @seealso \link{var_pop}, \link{var}
 #' @export
@@ -1648,8 +1910,11 @@ setMethod("var_samp",
 #'
 #' Extracts the week number as an integer from a given date/timestamp/string.
 #'
+#' @param x Column to compute on.
+#'
 #' @rdname weekofyear
 #' @name weekofyear
+#' @aliases weekofyear,Column-method
 #' @family datetime_funcs
 #' @export
 #' @examples \dontrun{weekofyear(df$c)}
@@ -1665,9 +1930,12 @@ setMethod("weekofyear",
 #'
 #' Extracts the year as an integer from a given date/timestamp/string.
 #'
+#' @param x Column to compute on.
+#'
 #' @rdname year
 #' @name year
 #' @family datetime_funcs
+#' @aliases year,Column-method
 #' @export
 #' @examples \dontrun{year(df$c)}
 #' @note year since 1.5.0
@@ -1682,10 +1950,14 @@ setMethod("year",
 #'
 #' Returns the angle theta from the conversion of rectangular coordinates (x, y) to
 #' polar coordinates (r, theta).
+#
+#' @param x Column to compute on.
+#' @param y Column to compute on.
 #'
 #' @rdname atan2
 #' @name atan2
 #' @family math_funcs
+#' @aliases atan2,Column-method
 #' @export
 #' @examples \dontrun{atan2(df$c, x)}
 #' @note atan2 since 1.5.0
@@ -1702,8 +1974,12 @@ setMethod("atan2", signature(y = "Column"),
 #'
 #' Returns the number of days from `start` to `end`.
 #'
+#' @param x start Column to use.
+#' @param y end Column to use.
+#'
 #' @rdname datediff
 #' @name datediff
+#' @aliases datediff,Column-method
 #' @family datetime_funcs
 #' @export
 #' @examples \dontrun{datediff(df$c, x)}
@@ -1720,10 +1996,14 @@ setMethod("datediff", signature(y = "Column"),
 #' hypot
 #'
 #' Computes "sqrt(a^2 + b^2)" without intermediate overflow or underflow.
+#
+#' @param x Column to compute on.
+#' @param y Column to compute on.
 #'
 #' @rdname hypot
 #' @name hypot
 #' @family math_funcs
+#' @aliases hypot,Column-method
 #' @export
 #' @examples \dontrun{hypot(df$c, x)}
 #' @note hypot since 1.4.0
@@ -1740,9 +2020,13 @@ setMethod("hypot", signature(y = "Column"),
 #'
 #' Computes the Levenshtein distance of the two given string columns.
 #'
+#' @param x Column to compute on.
+#' @param y Column to compute on.
+#'
 #' @rdname levenshtein
 #' @name levenshtein
 #' @family string_funcs
+#' @aliases levenshtein,Column-method
 #' @export
 #' @examples \dontrun{levenshtein(df$c, x)}
 #' @note levenshtein since 1.5.0
@@ -1759,9 +2043,13 @@ setMethod("levenshtein", signature(y = "Column"),
 #'
 #' Returns number of months between dates `date1` and `date2`.
 #'
+#' @param x start Column to use.
+#' @param y end Column to use.
+#'
 #' @rdname months_between
 #' @name months_between
 #' @family datetime_funcs
+#' @aliases months_between,Column-method
 #' @export
 #' @examples \dontrun{months_between(df$c, x)}
 #' @note months_between since 1.5.0
@@ -1779,9 +2067,13 @@ setMethod("months_between", signature(y = "Column"),
 #' Returns col1 if it is not NaN, or col2 if col1 is NaN.
 #' Both inputs should be floating point columns (DoubleType or FloatType).
 #'
+#' @param x first Column.
+#' @param y second Column.
+#'
 #' @rdname nanvl
 #' @name nanvl
 #' @family normal_funcs
+#' @aliases nanvl,Column-method
 #' @export
 #' @examples \dontrun{nanvl(df$c, x)}
 #' @note nanvl since 1.5.0
@@ -1798,10 +2090,14 @@ setMethod("nanvl", signature(y = "Column"),
 #'
 #' Returns the positive value of dividend mod divisor.
 #'
+#' @param x divisor Column.
+#' @param y dividend Column.
+#'
 #' @rdname pmod
 #' @name pmod
 #' @docType methods
 #' @family math_funcs
+#' @aliases pmod,Column-method
 #' @export
 #' @examples \dontrun{pmod(df$c, x)}
 #' @note pmod since 1.5.0
@@ -1817,6 +2113,10 @@ setMethod("pmod", signature(y = "Column"),
 
 #' @rdname approxCountDistinct
 #' @name approxCountDistinct
+#'
+#' @param rsd maximum estimation error allowed (default = 0.05)
+#'
+#' @aliases approxCountDistinct,Column-method
 #' @export
 #' @examples \dontrun{approxCountDistinct(df$c, 0.02)}
 #' @note approxCountDistinct(Column, numeric) since 1.4.0
@@ -1829,9 +2129,13 @@ setMethod("approxCountDistinct",
 
 #' Count Distinct
 #'
+#' @param x Column to compute on
+#' @param ... other columns
+#'
 #' @family agg_funcs
 #' @rdname countDistinct
 #' @name countDistinct
+#' @aliases countDistinct,Column-method
 #' @return the number of distinct items in a group.
 #' @export
 #' @examples \dontrun{countDistinct(df$c)}
@@ -1852,10 +2156,14 @@ setMethod("countDistinct",
 #' concat
 #'
 #' Concatenates multiple input string columns together into a single string column.
+#' 
+#' @param x Column to compute on
+#' @param ... other columns
 #'
 #' @family string_funcs
 #' @rdname concat
 #' @name concat
+#' @aliases concat,Column-method
 #' @export
 #' @examples \dontrun{concat(df$strings, df$strings2)}
 #' @note concat since 1.5.0
@@ -1875,9 +2183,13 @@ setMethod("concat",
 #' Returns the greatest value of the list of column names, skipping null values.
 #' This function takes at least 2 parameters. It will return null if all parameters are null.
 #'
+#' @param x Column to compute on
+#' @param ... other columns
+#'
 #' @family normal_funcs
 #' @rdname greatest
 #' @name greatest
+#' @aliases greatest,Column-method
 #' @export
 #' @examples \dontrun{greatest(df$c, df$d)}
 #' @note greatest since 1.5.0
@@ -1898,8 +2210,12 @@ setMethod("greatest",
 #' Returns the least value of the list of column names, skipping null values.
 #' This function takes at least 2 parameters. It will return null if all parameters are null.
 #'
+#' @param x Column to compute on
+#' @param ... other columns
+#'
 #' @family normal_funcs
 #' @rdname least
+#' @aliases least,Column-method
 #' @name least
 #' @export
 #' @examples \dontrun{least(df$c, df$d)}
@@ -1917,7 +2233,9 @@ setMethod("least",
           })
 
 #' @rdname ceil
+#'
 #' @name ceiling
+#' @aliases ceiling,Column-method
 #' @export
 #' @examples \dontrun{ceiling(df$c)}
 #' @note ceiling since 1.5.0
@@ -1928,7 +2246,10 @@ setMethod("ceiling",
           })
 
 #' @rdname sign
+#' @param x Column to compute on
+#'
 #' @name sign
+#' @aliases sign,Column-method
 #' @export
 #' @examples \dontrun{sign(df$c)}
 #' @note sign since 1.5.0
@@ -1941,8 +2262,12 @@ setMethod("sign", signature(x = "Column"),
 #'
 #' Aggregate function: returns the number of distinct items in a group.
 #'
+#' @param x Column to compute on
+#' @param ... other columns
+#'
 #' @rdname countDistinct
 #' @name n_distinct
+#' @aliases n_distinct,Column-method
 #' @export
 #' @examples \dontrun{n_distinct(df$c)}
 #' @note n_distinct since 1.4.0
@@ -1951,8 +2276,11 @@ setMethod("n_distinct", signature(x = "Column"),
             countDistinct(x, ...)
           })
 
-#' @rdname count
+#' @rdname nrow
+#' @param x Column to compute on
+#'
 #' @name n
+#' @aliases n,Column-method
 #' @export
 #' @examples \dontrun{n(df$c)}
 #' @note n since 1.4.0
@@ -1972,9 +2300,13 @@ setMethod("n", signature(x = "Column"),
 #' NOTE: Use when ever possible specialized functions like \code{year}. These benefit from a
 #' specialized implementation.
 #'
+#' @param y Column to compute on
+#' @param x date format specification 
+#'
 #' @family datetime_funcs
 #' @rdname date_format
 #' @name date_format
+#' @aliases date_format,Column,character-method
 #' @export
 #' @examples \dontrun{date_format(df$t, 'MM/dd/yyy')}
 #' @note date_format since 1.5.0
@@ -1988,9 +2320,13 @@ setMethod("date_format", signature(y = "Column", x = "character"),
 #'
 #' Assumes given timestamp is UTC and converts to given timezone.
 #'
+#' @param y Column to compute on
+#' @param x time zone to use 
+#'
 #' @family datetime_funcs
 #' @rdname from_utc_timestamp
 #' @name from_utc_timestamp
+#' @aliases from_utc_timestamp,Column,character-method
 #' @export
 #' @examples \dontrun{from_utc_timestamp(df$t, 'PST')}
 #' @note from_utc_timestamp since 1.5.0
@@ -2011,6 +2347,7 @@ setMethod("from_utc_timestamp", signature(y = "Column", x = "character"),
 #' @param y column to check
 #' @param x substring to check
 #' @family string_funcs
+#' @aliases instr,Column,character-method
 #' @rdname instr
 #' @name instr
 #' @export
@@ -2033,9 +2370,13 @@ setMethod("instr", signature(y = "Column", x = "character"),
 #' Day of the week parameter is case insensitive, and accepts first three or two characters:
 #' "Mon", "Tue", "Wed", "Thu", "Fri", "Sat", "Sun".
 #'
+#' @param y Column to compute on
+#' @param x Day of the week string 
+#'
 #' @family datetime_funcs
 #' @rdname next_day
 #' @name next_day
+#' @aliases next_day,Column,character-method
 #' @export
 #' @examples
 #'\dontrun{
@@ -2053,9 +2394,13 @@ setMethod("next_day", signature(y = "Column", x = "character"),
 #'
 #' Assumes given timestamp is in given timezone and converts to UTC.
 #'
+#' @param y Column to compute on
+#' @param x timezone to use
+#'
 #' @family datetime_funcs
 #' @rdname to_utc_timestamp
 #' @name to_utc_timestamp
+#' @aliases to_utc_timestamp,Column,character-method
 #' @export
 #' @examples \dontrun{to_utc_timestamp(df$t, 'PST')}
 #' @note to_utc_timestamp since 1.5.0
@@ -2069,9 +2414,13 @@ setMethod("to_utc_timestamp", signature(y = "Column", x = "character"),
 #'
 #' Returns the date that is numMonths after startDate.
 #'
+#' @param y Column to compute on
+#' @param x Number of months to add
+#'
 #' @name add_months
 #' @family datetime_funcs
 #' @rdname add_months
+#' @aliases add_months,Column,numeric-method
 #' @export
 #' @examples \dontrun{add_months(df$d, 1)}
 #' @note add_months since 1.5.0
@@ -2085,9 +2434,13 @@ setMethod("add_months", signature(y = "Column", x = "numeric"),
 #'
 #' Returns the date that is `days` days after `start`
 #'
+#' @param y Column to compute on
+#' @param x Number of days to add
+#'
 #' @family datetime_funcs
 #' @rdname date_add
 #' @name date_add
+#' @aliases date_add,Column,numeric-method
 #' @export
 #' @examples \dontrun{date_add(df$d, 1)}
 #' @note date_add since 1.5.0
@@ -2101,9 +2454,13 @@ setMethod("date_add", signature(y = "Column", x = "numeric"),
 #'
 #' Returns the date that is `days` days before `start`
 #'
+#' @param y Column to compute on
+#' @param x Number of days to substract
+#'
 #' @family datetime_funcs
 #' @rdname date_sub
 #' @name date_sub
+#' @aliases date_sub,Column,numeric-method
 #' @export
 #' @examples \dontrun{date_sub(df$d, 1)}
 #' @note date_sub since 1.5.0
@@ -2126,6 +2483,7 @@ setMethod("date_sub", signature(y = "Column", x = "numeric"),
 #' @family string_funcs
 #' @rdname format_number
 #' @name format_number
+#' @aliases format_number,Column,numeric-method
 #' @export
 #' @examples \dontrun{format_number(df$n, 4)}
 #' @note format_number since 1.5.0
@@ -2147,6 +2505,7 @@ setMethod("format_number", signature(y = "Column", x = "numeric"),
 #' @family misc_funcs
 #' @rdname sha2
 #' @name sha2
+#' @aliases sha2,Column,numeric-method
 #' @export
 #' @examples \dontrun{sha2(df$c, 256)}
 #' @note sha2 since 1.5.0
@@ -2161,9 +2520,13 @@ setMethod("sha2", signature(y = "Column", x = "numeric"),
 #' Shift the given value numBits left. If the given value is a long value, this function
 #' will return a long value else it will return an integer value.
 #'
+#' @param y column to compute on.
+#' @param x number of bits to shift.
+#'
 #' @family math_funcs
 #' @rdname shiftLeft
 #' @name shiftLeft
+#' @aliases shiftLeft,Column,numeric-method
 #' @export
 #' @examples \dontrun{shiftLeft(df$c, 1)}
 #' @note shiftLeft since 1.5.0
@@ -2180,9 +2543,13 @@ setMethod("shiftLeft", signature(y = "Column", x = "numeric"),
 #' Shift the given value numBits right. If the given value is a long value, it will return
 #' a long value else it will return an integer value.
 #'
+#' @param y column to compute on.
+#' @param x number of bits to shift.
+#'
 #' @family math_funcs
 #' @rdname shiftRight
 #' @name shiftRight
+#' @aliases shiftRight,Column,numeric-method
 #' @export
 #' @examples \dontrun{shiftRight(df$c, 1)}
 #' @note shiftRight since 1.5.0
@@ -2199,9 +2566,13 @@ setMethod("shiftRight", signature(y = "Column", x = "numeric"),
 #' Unsigned shift the given value numBits right. If the given value is a long value,
 #' it will return a long value else it will return an integer value.
 #'
+#' @param y column to compute on.
+#' @param x number of bits to shift.
+#'
 #' @family math_funcs
 #' @rdname shiftRightUnsigned
 #' @name shiftRightUnsigned
+#' @aliases shiftRightUnsigned,Column,numeric-method
 #' @export
 #' @examples \dontrun{shiftRightUnsigned(df$c, 1)}
 #' @note shiftRightUnsigned since 1.5.0
@@ -2218,9 +2589,14 @@ setMethod("shiftRightUnsigned", signature(y = "Column", x = "numeric"),
 #' Concatenates multiple input string columns together into a single string column,
 #' using the given separator.
 #'
+#' @param x column to concatenate.
+#' @param sep separator to use.
+#' @param ... other columns to concatenate.
+#'
 #' @family string_funcs
 #' @rdname concat_ws
 #' @name concat_ws
+#' @aliases concat_ws,character,Column-method
 #' @export
 #' @examples \dontrun{concat_ws('-', df$s, df$d)}
 #' @note concat_ws since 1.5.0
@@ -2235,8 +2611,13 @@ setMethod("concat_ws", signature(sep = "character", x = "Column"),
 #'
 #' Convert a number in a string column from one base to another.
 #'
+#' @param x column to convert.
+#' @param fromBase base to convert from.
+#' @param toBase base to convert to.
+#'
 #' @family math_funcs
 #' @rdname conv
+#' @aliases conv,Column,numeric,numeric-method
 #' @name conv
 #' @export
 #' @examples \dontrun{conv(df$n, 2, 16)}
@@ -2258,6 +2639,7 @@ setMethod("conv", signature(x = "Column", fromBase = "numeric", toBase = "numeri
 #'
 #' @family normal_funcs
 #' @rdname expr
+#' @aliases expr,character-method
 #' @name expr
 #' @export
 #' @examples \dontrun{expr('length(name)')}
@@ -2275,6 +2657,7 @@ setMethod("expr", signature(x = "character"),
 #' @family string_funcs
 #' @rdname format_string
 #' @name format_string
+#' @aliases format_string,character,Column-method
 #' @export
 #' @examples \dontrun{format_string('%d %s', df$a, df$b)}
 #' @note format_string since 1.5.0
@@ -2296,6 +2679,7 @@ setMethod("format_string", signature(format = "character", x = "Column"),
 #' @family datetime_funcs
 #' @rdname from_unixtime
 #' @name from_unixtime
+#' @aliases from_unixtime,Column-method
 #' @export
 #' @examples
 #'\dontrun{
@@ -2334,6 +2718,7 @@ setMethod("from_unixtime", signature(x = "Column"),
 #' @family datetime_funcs
 #' @rdname window
 #' @name window
+#' @aliases window,Column-method
 #' @export
 #' @examples
 #'\dontrun{
@@ -2383,6 +2768,7 @@ setMethod("window", signature(x = "Column"),
 #'
 #' @family string_funcs
 #' @rdname locate
+#' @aliases locate,character,Column-method
 #' @name locate
 #' @export
 #' @examples \dontrun{locate('b', df$c, 1)}
@@ -2401,6 +2787,7 @@ setMethod("locate", signature(substr = "character", str = "Column"),
 #'
 #' @family string_funcs
 #' @rdname lpad
+#' @aliases lpad,Column,numeric,character-method
 #' @name lpad
 #' @export
 #' @examples \dontrun{lpad(df$c, 6, '#')}
@@ -2420,6 +2807,7 @@ setMethod("lpad", signature(x = "Column", len = "numeric", pad = "character"),
 #' @family normal_funcs
 #' @rdname rand
 #' @name rand
+#' @aliases rand,missing-method
 #' @export
 #' @examples \dontrun{rand()}
 #' @note rand since 1.5.0
@@ -2431,6 +2819,7 @@ setMethod("rand", signature(seed = "missing"),
 
 #' @rdname rand
 #' @name rand
+#' @aliases rand,numeric-method
 #' @export
 #' @note rand(numeric) since 1.5.0
 setMethod("rand", signature(seed = "numeric"),
@@ -2446,6 +2835,7 @@ setMethod("rand", signature(seed = "numeric"),
 #' @family normal_funcs
 #' @rdname randn
 #' @name randn
+#' @aliases randn,missing-method
 #' @export
 #' @examples \dontrun{randn()}
 #' @note randn since 1.5.0
@@ -2457,6 +2847,7 @@ setMethod("randn", signature(seed = "missing"),
 
 #' @rdname randn
 #' @name randn
+#' @aliases randn,numeric-method
 #' @export
 #' @note randn(numeric) since 1.5.0
 setMethod("randn", signature(seed = "numeric"),
@@ -2472,6 +2863,7 @@ setMethod("randn", signature(seed = "numeric"),
 #' @family string_funcs
 #' @rdname regexp_extract
 #' @name regexp_extract
+#' @aliases regexp_extract,Column,character,numeric-method
 #' @export
 #' @examples \dontrun{regexp_extract(df$c, '(\d+)-(\d+)', 1)}
 #' @note regexp_extract since 1.5.0
@@ -2491,6 +2883,7 @@ setMethod("regexp_extract",
 #' @family string_funcs
 #' @rdname regexp_replace
 #' @name regexp_replace
+#' @aliases regexp_replace,Column,character,character-method
 #' @export
 #' @examples \dontrun{regexp_replace(df$c, '(\\d+)', '--')}
 #' @note regexp_replace since 1.5.0
@@ -2510,6 +2903,7 @@ setMethod("regexp_replace",
 #' @family string_funcs
 #' @rdname rpad
 #' @name rpad
+#' @aliases rpad,Column,numeric,character-method
 #' @export
 #' @examples \dontrun{rpad(df$c, 6, '#')}
 #' @note rpad since 1.5.0
@@ -2530,6 +2924,7 @@ setMethod("rpad", signature(x = "Column", len = "numeric", pad = "character"),
 #'
 #' @family string_funcs
 #' @rdname substring_index
+#' @aliases substring_index,Column,character,numeric-method
 #' @name substring_index
 #' @export
 #' @examples
@@ -2557,6 +2952,7 @@ setMethod("substring_index",
 #' @family string_funcs
 #' @rdname translate
 #' @name translate
+#' @aliases translate,Column,character,character-method
 #' @export
 #' @examples \dontrun{translate(df$c, 'rnlt', '123')}
 #' @note translate since 1.5.0
@@ -2575,6 +2971,7 @@ setMethod("translate",
 #' @family datetime_funcs
 #' @rdname unix_timestamp
 #' @name unix_timestamp
+#' @aliases unix_timestamp,missing,missing-method
 #' @export
 #' @examples
 #'\dontrun{
@@ -2591,6 +2988,7 @@ setMethod("unix_timestamp", signature(x = "missing", format = "missing"),
 
 #' @rdname unix_timestamp
 #' @name unix_timestamp
+#' @aliases unix_timestamp,Column,missing-method
 #' @export
 #' @note unix_timestamp(Column) since 1.5.0
 setMethod("unix_timestamp", signature(x = "Column", format = "missing"),
@@ -2601,6 +2999,7 @@ setMethod("unix_timestamp", signature(x = "Column", format = "missing"),
 
 #' @rdname unix_timestamp
 #' @name unix_timestamp
+#' @aliases unix_timestamp,Column,character-method
 #' @export
 #' @note unix_timestamp(Column, character) since 1.5.0
 setMethod("unix_timestamp", signature(x = "Column", format = "character"),
@@ -2616,6 +3015,7 @@ setMethod("unix_timestamp", signature(x = "Column", format = "character"),
 #' @family normal_funcs
 #' @rdname when
 #' @name when
+#' @aliases when,Column-method
 #' @seealso \link{ifelse}
 #' @export
 #' @examples \dontrun{when(df$age == 2, df$age + 1)}
@@ -2636,6 +3036,7 @@ setMethod("when", signature(condition = "Column", value = "ANY"),
 #' @family normal_funcs
 #' @rdname ifelse
 #' @name ifelse
+#' @aliases ifelse,Column-method
 #' @seealso \link{when}
 #' @export
 #' @examples \dontrun{
@@ -2671,6 +3072,7 @@ setMethod("ifelse",
 #' @rdname cume_dist
 #' @name cume_dist
 #' @family window_funcs
+#' @aliases cume_dist,missing-method
 #' @export
 #' @examples \dontrun{cume_dist()}
 #' @note cume_dist since 1.6.0
@@ -2694,6 +3096,7 @@ setMethod("cume_dist",
 #' @rdname dense_rank
 #' @name dense_rank
 #' @family window_funcs
+#' @aliases dense_rank,missing-method
 #' @export
 #' @examples \dontrun{dense_rank()}
 #' @note dense_rank since 1.6.0
@@ -2714,6 +3117,7 @@ setMethod("dense_rank",
 #'
 #' @rdname lag
 #' @name lag
+#' @aliases lag,characterOrColumn-method
 #' @family window_funcs
 #' @export
 #' @examples \dontrun{lag(df$c)}
@@ -2739,10 +3143,15 @@ setMethod("lag",
 #' an `offset` of one will return the next row at any given point in the window partition.
 #'
 #' This is equivalent to the LEAD function in SQL.
+#' 
+#' @param x Column to compute on
+#' @param offset Number of rows to offset
+#' @param defaultValue (Optional) default value to use
 #'
 #' @rdname lead
 #' @name lead
 #' @family window_funcs
+#' @aliases lead,characterOrColumn,numeric-method
 #' @export
 #' @examples \dontrun{lead(df$c)}
 #' @note lead since 1.6.0
@@ -2763,13 +3172,16 @@ setMethod("lead",
 #' ntile
 #'
 #' Window function: returns the ntile group id (from 1 to `n` inclusive) in an ordered window
-#' partition. Fow example, if `n` is 4, the first quarter of the rows will get value 1, the second
+#' partition. For example, if `n` is 4, the first quarter of the rows will get value 1, the second
 #' quarter will get 2, the third quarter will get 3, and the last quarter will get 4.
 #'
 #' This is equivalent to the NTILE function in SQL.
 #'
+#' @param x Number of ntile groups
+#'
 #' @rdname ntile
 #' @name ntile
+#' @aliases ntile,numeric-method
 #' @family window_funcs
 #' @export
 #' @examples \dontrun{ntile(1)}
@@ -2794,6 +3206,7 @@ setMethod("ntile",
 #' @rdname percent_rank
 #' @name percent_rank
 #' @family window_funcs
+#' @aliases percent_rank,missing-method
 #' @export
 #' @examples \dontrun{percent_rank()}
 #' @note percent_rank since 1.6.0
@@ -2818,6 +3231,7 @@ setMethod("percent_rank",
 #' @rdname rank
 #' @name rank
 #' @family window_funcs
+#' @aliases rank,missing-method
 #' @export
 #' @examples \dontrun{rank()}
 #' @note rank since 1.6.0
@@ -2829,6 +3243,10 @@ setMethod("rank",
           })
 
 # Expose rank() in the R base package
+#' @name rank
+#' @rdname rank
+#' @aliases rank,ANY-method
+#' @export
 setMethod("rank",
           signature(x = "ANY"),
           function(x, ...) {
@@ -2843,6 +3261,7 @@ setMethod("rank",
 #'
 #' @rdname row_number
 #' @name row_number
+#' @aliases row_number,missing-method
 #' @family window_funcs
 #' @export
 #' @examples \dontrun{row_number()}
@@ -2863,6 +3282,7 @@ setMethod("row_number",
 #' @param x A Column
 #' @param value A value to be checked if contained in the column
 #' @rdname array_contains
+#' @aliases array_contains,Column-method
 #' @name array_contains
 #' @family collection_funcs
 #' @export
@@ -2879,9 +3299,12 @@ setMethod("array_contains",
 #'
 #' Creates a new row for each element in the given array or map column.
 #'
+#' @param x Column to compute on
+#'
 #' @rdname explode
 #' @name explode
 #' @family collection_funcs
+#' @aliases explode,Column-method
 #' @export
 #' @examples \dontrun{explode(df$c)}
 #' @note explode since 1.5.0
@@ -2895,9 +3318,12 @@ setMethod("explode",
 #' size
 #'
 #' Returns length of array or map.
+#' 
+#' @param x Column to compute on
 #'
 #' @rdname size
 #' @name size
+#' @aliases size,Column-method
 #' @family collection_funcs
 #' @export
 #' @examples \dontrun{size(df$c)}
@@ -2920,6 +3346,7 @@ setMethod("size",
 #'            FALSE, sorting is in descending order.
 #' @rdname sort_array
 #' @name sort_array
+#' @aliases sort_array,Column-method
 #' @family collection_funcs
 #' @export
 #' @examples
@@ -2939,9 +3366,12 @@ setMethod("sort_array",
 #'
 #' Creates a new row for each element with position in the given array or map column.
 #'
+#' @param x Column to compute on
+#'
 #' @rdname posexplode
 #' @name posexplode
 #' @family collection_funcs
+#' @aliases posexplode,Column-method
 #' @export
 #' @examples \dontrun{posexplode(df$c)}
 #' @note posexplode since 2.1.0
diff --git a/R/pkg/R/generics.R b/R/pkg/R/generics.R
index 8416e5cdb8..e7444ac246 100644
--- a/R/pkg/R/generics.R
+++ b/R/pkg/R/generics.R
@@ -51,7 +51,7 @@ setGeneric("collectPartition",
              standardGeneric("collectPartition")
            })
 
-# @rdname count
+# @rdname nrow
 # @export
 setGeneric("count", function(x) { standardGeneric("count") })
 
@@ -395,7 +395,7 @@ setGeneric("value", function(bcast) { standardGeneric("value") })
 
 ####################  SparkDataFrame Methods ########################
 
-#' @rdname agg
+#' @rdname summarize
 #' @export
 setGeneric("agg", function (x, ...) { standardGeneric("agg") })
 
@@ -654,7 +654,7 @@ setGeneric("showDF", function(x, ...) { standardGeneric("showDF") })
 # @export
 setGeneric("subset", function(x, ...) { standardGeneric("subset") })
 
-#' @rdname agg
+#' @rdname summarize
 #' @export
 setGeneric("summarize", function(x, ...) { standardGeneric("summarize") })
 
@@ -1022,7 +1022,7 @@ setGeneric("month", function(x) { standardGeneric("month") })
 #' @export
 setGeneric("months_between", function(y, x) { standardGeneric("months_between") })
 
-#' @rdname count
+#' @rdname nrow
 #' @export
 setGeneric("n", function(x) { standardGeneric("n") })
 
diff --git a/R/pkg/R/group.R b/R/pkg/R/group.R
index 5ed7e8abb4..85348ae76b 100644
--- a/R/pkg/R/group.R
+++ b/R/pkg/R/group.R
@@ -47,6 +47,7 @@ groupedData <- function(sgd) {
 
 
 #' @rdname show
+#' @aliases show,GroupedData-method
 #' @note show(GroupedData) since 1.4.0
 setMethod("show", "GroupedData",
           function(object) {
@@ -61,6 +62,7 @@ setMethod("show", "GroupedData",
 #' @param x a GroupedData
 #' @return a SparkDataFrame
 #' @rdname count
+#' @aliases count,GroupedData-method
 #' @export
 #' @examples
 #' \dontrun{
@@ -84,6 +86,7 @@ setMethod("count",
 #' @param x a GroupedData
 #' @return a SparkDataFrame
 #' @rdname summarize
+#' @aliases agg,GroupedData-method
 #' @name agg
 #' @family agg_funcs
 #' @export
@@ -121,6 +124,7 @@ setMethod("agg",
 
 #' @rdname summarize
 #' @name summarize
+#' @aliases summarize,GroupedData-method
 #' @note summarize since 1.4.0
 setMethod("summarize",
           signature(x = "GroupedData"),
@@ -146,6 +150,7 @@ methods <- c("avg", "max", "mean", "min", "sum")
 #' @param values A value or a list/vector of distinct values for the output columns.
 #' @return GroupedData object
 #' @rdname pivot
+#' @aliases pivot,GroupedData,character-method
 #' @name pivot
 #' @export
 #' @examples
@@ -198,6 +203,7 @@ createMethods()
 #'
 #' @param x A GroupedData
 #' @rdname gapply
+#' @aliases gapply,GroupedData-method
 #' @name gapply
 #' @export
 #' @note gapply(GroupedData) since 2.0.0
@@ -212,6 +218,7 @@ setMethod("gapply",
 #'
 #' @param x A GroupedData
 #' @rdname gapplyCollect
+#' @aliases gapplyCollect,GroupedData-method
 #' @name gapplyCollect
 #' @export
 #' @note gapplyCollect(GroupedData) since 2.0.0
@@ -243,4 +250,4 @@ gapplyInternal <- function(x, func, schema) {
            broadcastArr,
            if (class(schema) == "structType") { schema$jobj } else { NULL })
   dataFrame(sdf)
-}
\ No newline at end of file
+}
diff --git a/R/pkg/R/mllib.R b/R/pkg/R/mllib.R
index 94e1f654f5..50c601fcd9 100644
--- a/R/pkg/R/mllib.R
+++ b/R/pkg/R/mllib.R
@@ -91,6 +91,7 @@ NULL
 #'               \url{https://stat.ethz.ch/R-manual/R-devel/library/stats/html/family.html}.
 #' @param tol Positive convergence tolerance of iterations.
 #' @param maxIter Integer giving the maximal number of IRLS iterations.
+#' @aliases spark.glm,SparkDataFrame,formula-method
 #' @return \code{spark.glm} returns a fitted generalized linear model
 #' @rdname spark.glm
 #' @name spark.glm
@@ -306,6 +307,7 @@ setMethod("summary", signature(object = "NaiveBayesModel"),
 #' @param initMode The initialization algorithm choosen to fit the model
 #' @return \code{spark.kmeans} returns a fitted k-means model
 #' @rdname spark.kmeans
+#' @aliases spark.kmeans,SparkDataFrame,formula-method
 #' @name spark.kmeans
 #' @export
 #' @examples
@@ -418,6 +420,7 @@ setMethod("predict", signature(object = "KMeansModel"),
 #' @param smoothing Smoothing parameter
 #' @return \code{spark.naiveBayes} returns a fitted naive Bayes model
 #' @rdname spark.naiveBayes
+#' @aliases spark.naiveBayes,SparkDataFrame,formula-method
 #' @name spark.naiveBayes
 #' @seealso e1071: \url{https://cran.r-project.org/web/packages/e1071/}
 #' @export
@@ -512,7 +515,6 @@ setMethod("write.ml", signature(object = "GeneralizedLinearRegressionModel", pat
 #'                  which means throw exception if the output path exists.
 #'
 #' @rdname spark.kmeans
-#' @name write.ml
 #' @export
 #' @note write.ml(KMeansModel, character) since 2.0.0
 setMethod("write.ml", signature(object = "KMeansModel", path = "character"),
diff --git a/R/pkg/R/schema.R b/R/pkg/R/schema.R
index a91e9980df..b429f5de13 100644
--- a/R/pkg/R/schema.R
+++ b/R/pkg/R/schema.R
@@ -26,6 +26,7 @@
 #' @param x a structField object (created with the field() function)
 #' @param ... additional structField objects
 #' @return a structType object
+#' @rdname structType
 #' @export
 #' @examples
 #'\dontrun{
@@ -40,13 +41,19 @@ structType <- function(x, ...) {
   UseMethod("structType", x)
 }
 
-structType.jobj <- function(x) {
+#' @rdname structType
+#' @method structType jobj
+#' @export
+structType.jobj <- function(x, ...) {
   obj <- structure(list(), class = "structType")
   obj$jobj <- x
   obj$fields <- function() { lapply(callJMethod(obj$jobj, "fields"), structField) }
   obj
 }
 
+#' @rdname structType
+#' @method structType structField
+#' @export
 structType.structField <- function(x, ...) {
   fields <- list(x, ...)
   if (!all(sapply(fields, inherits, "structField"))) {
@@ -104,7 +111,10 @@ structField <- function(x, ...) {
   UseMethod("structField", x)
 }
 
-structField.jobj <- function(x) {
+#' @rdname structField
+#' @method structField jobj
+#' @export
+structField.jobj <- function(x, ...) {
   obj <- structure(list(), class = "structField")
   obj$jobj <- x
   obj$name <- function() { callJMethod(x, "name") }
@@ -179,7 +189,7 @@ checkType <- function(type) {
 #' @param nullable A logical vector indicating whether or not the field is nullable
 #' @rdname structField
 #' @export
-structField.character <- function(x, type, nullable = TRUE) {
+structField.character <- function(x, type, nullable = TRUE, ...) {
   if (class(x) != "character") {
     stop("Field name must be a string.")
   }
diff --git a/R/pkg/R/stats.R b/R/pkg/R/stats.R
index c92352e1b0..2b4ce195cb 100644
--- a/R/pkg/R/stats.R
+++ b/R/pkg/R/stats.R
@@ -34,6 +34,7 @@ setOldClass("jobj")
 #'
 #' @rdname crosstab
 #' @name crosstab
+#' @aliases crosstab,SparkDataFrame,character,character-method
 #' @family stat functions
 #' @export
 #' @examples
@@ -59,6 +60,7 @@ setMethod("crosstab",
 #'
 #' @rdname cov
 #' @name cov
+#' @aliases cov,SparkDataFrame-method
 #' @family stat functions
 #' @export
 #' @examples
@@ -88,6 +90,7 @@ setMethod("cov",
 #'
 #' @rdname corr
 #' @name corr
+#' @aliases corr,SparkDataFrame-method
 #' @family stat functions
 #' @export
 #' @examples
@@ -120,6 +123,7 @@ setMethod("corr",
 #'
 #' @rdname freqItems
 #' @name freqItems
+#' @aliases freqItems,SparkDataFrame,character-method
 #' @family stat functions
 #' @export
 #' @examples
@@ -158,6 +162,7 @@ setMethod("freqItems", signature(x = "SparkDataFrame", cols = "character"),
 #'
 #' @rdname approxQuantile
 #' @name approxQuantile
+#' @aliases approxQuantile,SparkDataFrame,character,numeric,numeric-method
 #' @family stat functions
 #' @export
 #' @examples
@@ -188,6 +193,7 @@ setMethod("approxQuantile",
 #' @return A new SparkDataFrame that represents the stratified sample
 #'
 #' @rdname sampleBy
+#' @aliases sampleBy,SparkDataFrame,character,list,numeric-method
 #' @name sampleBy
 #' @family stat functions
 #' @export
diff --git a/R/pkg/R/utils.R b/R/pkg/R/utils.R
index e75bfbf037..240b9f669b 100644
--- a/R/pkg/R/utils.R
+++ b/R/pkg/R/utils.R
@@ -126,20 +126,16 @@ hashCode <- function(key) {
     as.integer(bitwXor(intBits[2], intBits[1]))
   } else if (class(key) == "character") {
     # TODO: SPARK-7839 means we might not have the native library available
-    if (is.loaded("stringHashCode")) {
-      .Call("stringHashCode", key)
+    n <- nchar(key)
+    if (n == 0) {
+      0L
     } else {
-      n <- nchar(key)
-      if (n == 0) {
-        0L
-      } else {
-        asciiVals <- sapply(charToRaw(key), function(x) { strtoi(x, 16L) })
-        hashC <- 0
-        for (k in 1:length(asciiVals)) {
-          hashC <- mult31AndAdd(hashC, asciiVals[k])
-        }
-        as.integer(hashC)
+      asciiVals <- sapply(charToRaw(key), function(x) { strtoi(x, 16L) })
+      hashC <- 0
+      for (k in 1:length(asciiVals)) {
+        hashC <- mult31AndAdd(hashC, asciiVals[k])
       }
+      as.integer(hashC)
     }
   } else {
     warning(paste("Could not hash object, returning 0", sep = ""))
diff --git a/R/pkg/R/window.R b/R/pkg/R/window.R
index d9d069cde9..215d0e7b5c 100644
--- a/R/pkg/R/window.R
+++ b/R/pkg/R/window.R
@@ -28,6 +28,7 @@
 #'
 #' @rdname windowPartitionBy
 #' @name windowPartitionBy
+#' @aliases windowPartitionBy,character-method
 #' @export
 #' @examples
 #' \dontrun{
@@ -50,6 +51,7 @@ setMethod("windowPartitionBy",
 
 #' @rdname windowPartitionBy
 #' @name windowPartitionBy
+#' @aliases windowPartitionBy,Column-method
 #' @export
 #' @note windowPartitionBy(Column) since 2.0.0
 setMethod("windowPartitionBy",
@@ -75,6 +77,7 @@ setMethod("windowPartitionBy",
 #'
 #' @rdname windowOrderBy
 #' @name windowOrderBy
+#' @aliases windowOrderBy,character-method
 #' @export
 #' @examples
 #' \dontrun{
@@ -97,6 +100,7 @@ setMethod("windowOrderBy",
 
 #' @rdname windowOrderBy
 #' @name windowOrderBy
+#' @aliases windowOrderBy,Column-method
 #' @export
 #' @note windowOrderBy(Column) since 2.0.0
 setMethod("windowOrderBy",