[SPARK-17902][R] Revive stringsAsFactors option for collect() in SparkR

## What changes were proposed in this pull request?

This PR proposes to revive `stringsAsFactors` option in collect API, which was mistakenly removed in 71a138c.

Simply, it casts `charactor` to `factor` if it meets the condition, `stringsAsFactors && is.character(vec)` in primitive type conversion.

## How was this patch tested?

Unit test in `R/pkg/tests/fulltests/test_sparkSQL.R`.

Author: hyukjinkwon <gurwls223@gmail.com>

Closes #19551 from HyukjinKwon/SPARK-17902.

(cherry picked from commit a83d8d5)
Signed-off-by: hyukjinkwon <gurwls223@gmail.com>

Author: HyukjinKwon

R/pkg/R/DataFrame.R

@@ -1174,6 +1174,9 @@ setMethod("collect",
                     vec <- do.call(c, col)
                     stopifnot(class(vec) != "list")
                     class(vec) <- PRIMITIVE_TYPES[[colType]]
+                    if (is.character(vec) && stringsAsFactors) {
+                      vec <- as.factor(vec)
+                    }
                     df[[colIndex]] <- vec
                   } else {
                     df[[colIndex]] <- col

R/pkg/tests/fulltests/test_sparkSQL.R

@@ -483,6 +483,12 @@ test_that("create DataFrame with different data types", {
   expect_equal(collect(df), data.frame(l, stringsAsFactors = FALSE))
 })
 
+test_that("SPARK-17902: collect() with stringsAsFactors enabled", {
+  df <- suppressWarnings(collect(createDataFrame(iris), stringsAsFactors = TRUE))
+  expect_equal(class(iris$Species), class(df$Species))
+  expect_equal(iris$Species, df$Species)
+})
+
 test_that("SPARK-17811: can create DataFrame containing NA as date and time", {
   df <- data.frame(
     id = 1:2,