[SPARK-34021][R] Fix hyper links in SparkR documentation for CRAN submission

3.0.1 CRAN submission was failed as the reason below:

```
   Found the following (possibly) invalid URLs:
     URL: http://jsonlines.org/ (moved to https://jsonlines.org/)
       From: man/read.json.Rd
             man/write.json.Rd
       Status: 200
       Message: OK
     URL: https://dl.acm.org/citation.cfm?id=1608614 (moved to
https://dl.acm.org/doi/10.1109/MC.2009.263)
       From: inst/doc/sparkr-vignettes.html
       Status: 200
       Message: OK
 ```

The links were being redirected now. This PR checked all hyperlinks in the docs such as `href{...}` and `url{...}`, and fixed all in SparkR:

- Fix two problems above.
- Fix http to https
- Fix `https://www.apache.org/ https://spark.apache.org/` -> `https://www.apache.org https://spark.apache.org`.

For CRAN submission.

Virtually no because it's just cleanup that CRAN requires.

Manually tested by clicking the links

Closes apache#31058 from HyukjinKwon/SPARK-34021.

Authored-by: HyukjinKwon <[email protected]>
Signed-off-by: HyukjinKwon <[email protected]>

Author: HyukjinKwon

R/pkg/DESCRIPTION

@@ -11,7 +11,7 @@ Authors@R: c(person("Shivaram", "Venkataraman", role = c("aut", "cre"),
                     email = "[email protected]"),
              person(family = "The Apache Software Foundation", role = c("aut", "cph")))
 License: Apache License (== 2.0)
-URL: https://www.apache.org/ https://spark.apache.org/
+URL: https://www.apache.org https://spark.apache.org
 BugReports: https://spark.apache.org/contributing.html
 Depends:
     R (>= 3.0),

R/pkg/R/DataFrame.R

@@ -801,7 +801,7 @@ setMethod("toJSON",
 
 #' Save the contents of SparkDataFrame as a JSON file
 #'
-#' Save the contents of a SparkDataFrame as a JSON file (\href{http://jsonlines.org/}{
+#' Save the contents of a SparkDataFrame as a JSON file (\href{https://jsonlines.org/}{
 #' JSON Lines text format or newline-delimited JSON}). Files written out
 #' with this method can be read back in as a SparkDataFrame using read.json().
 #'

R/pkg/R/SQLContext.R

@@ -332,8 +332,10 @@ setMethod("toDF", signature(x = "RDD"),
 
 #' Create a SparkDataFrame from a JSON file.
 #'
-#' Loads a JSON file (\href{http://jsonlines.org/}{JSON Lines text format or newline-delimited JSON}
-#' ), returning the result as a SparkDataFrame
+#' Loads a JSON file, returning the result as a SparkDataFrame
+#' By default, (\href{https://jsonlines.org/}{JSON Lines text format or newline-delimited JSON}
+#' ) is supported. For JSON (one record per file), set a named property \code{multiLine} to
+#' \code{TRUE}.
 #' It goes through the entire dataset once to determine the schema.
 #'
 #' @param path Path of file to read. A vector of multiple paths is allowed.

R/pkg/R/install.R

@@ -39,11 +39,11 @@
 #'                      version number in the format of "x.y" where x and y are integer.
 #'                      If \code{hadoopVersion = "without"}, "Hadoop free" build is installed.
 #'                      See
-#'                      \href{http://spark.apache.org/docs/latest/hadoop-provided.html}{
+#'                      \href{https://spark.apache.org/docs/latest/hadoop-provided.html}{
 #'                      "Hadoop Free" Build} for more information.
 #'                      Other patched version names can also be used, e.g. \code{"cdh4"}
 #' @param mirrorUrl base URL of the repositories to use. The directory layout should follow
-#'                  \href{http://www.apache.org/dyn/closer.lua/spark/}{Apache mirrors}.
+#'                  \href{https://www.apache.org/dyn/closer.lua/spark/}{Apache mirrors}.
 #' @param localDir a local directory where Spark is installed. The directory contains
 #'                 version-specific folders of Spark packages. Default is path to
 #'                 the cache directory:
@@ -65,7 +65,7 @@
 #'}
 #' @note install.spark since 2.1.0
 #' @seealso See available Hadoop versions:
-#'          \href{http://spark.apache.org/downloads.html}{Apache Spark}
+#'          \href{https://spark.apache.org/downloads.html}{Apache Spark}
 install.spark <- function(hadoopVersion = "2.7", mirrorUrl = NULL,
                           localDir = NULL, overwrite = FALSE) {
   sparkHome <- Sys.getenv("SPARK_HOME")

R/pkg/R/stats.R

@@ -112,7 +112,8 @@ setMethod("corr",
 #'
 #' Finding frequent items for columns, possibly with false positives.
 #' Using the frequent element count algorithm described in
-#' \url{http://dx.doi.org/10.1145/762471.762473}, proposed by Karp, Schenker, and Papadimitriou.
+#' \url{https://dl.acm.org/doi/10.1145/762471.762473}, proposed by Karp, Schenker,
+#' and Papadimitriou.
 #'
 #' @param x A SparkDataFrame.
 #' @param cols A vector column names to search frequent items in.