diff --git a/R/pkg/R/DataFrame.R b/R/pkg/R/DataFrame.R
index a4733313ed16c9640f78187b7ae26120fc1828a0..0ce4696198c79a0cfe3cce1dc9bc128c64fecca1 100644
--- a/R/pkg/R/DataFrame.R
+++ b/R/pkg/R/DataFrame.R
@@ -223,7 +223,7 @@ setMethod("showDF",
 #' sparkR.session()
 #' path <- "path/to/file.json"
 #' df <- read.json(path)
-#' df
+#' show(df)
 #'}
 #' @note show(SparkDataFrame) since 1.4.0
 setMethod("show", "SparkDataFrame",
@@ -368,7 +368,7 @@ setMethod("colnames<-",
 #' @examples
 #'\dontrun{
 #' irisDF <- createDataFrame(iris)
-#' coltypes(irisDF)
+#' coltypes(irisDF) # get column types
 #'}
 #' @note coltypes since 1.6.0
 setMethod("coltypes",
@@ -411,7 +411,6 @@ setMethod("coltypes",
 #'
 #' Set the column types of a SparkDataFrame.
 #'
-#' @param x A SparkDataFrame
 #' @param value A character vector with the target column types for the given
 #'    SparkDataFrame. Column types can be one of integer, numeric/double, character, logical, or NA
 #'    to keep that column as-is.
@@ -424,8 +423,8 @@ setMethod("coltypes",
 #' sparkR.session()
 #' path <- "path/to/file.json"
 #' df <- read.json(path)
-#' coltypes(df) <- c("character", "integer")
-#' coltypes(df) <- c(NA, "numeric")
+#' coltypes(df) <- c("character", "integer") # set column types
+#' coltypes(df) <- c(NA, "numeric") # set column types
 #'}
 #' @note coltypes<- since 1.6.0
 setMethod("coltypes<-",