diff --git a/R/pkg/R/DataFrame.R b/R/pkg/R/DataFrame.R index b56dddcb9f2ef..537f95d31bcbb 100644 --- a/R/pkg/R/DataFrame.R +++ b/R/pkg/R/DataFrame.R @@ -549,7 +549,7 @@ setMethod("registerTempTable", #' sparkR.session() #' df <- read.df(path, "parquet") #' df2 <- read.df(path2, "parquet") -#' createOrReplaceTempView(df, "table1") +#' saveAsTable(df, "table1") #' insertInto(df2, "table1", overwrite = TRUE) #'} #' @note insertInto since 1.4.0 @@ -1125,7 +1125,8 @@ setMethod("dim", #' path <- "path/to/file.json" #' df <- read.json(path) #' collected <- collect(df) -#' firstName <- collected[[1]]$name +#' class(collected) +#' firstName <- names(collected)[1] #' } #' @note collect since 1.4.0 setMethod("collect", @@ -2814,7 +2815,7 @@ setMethod("except", #' path <- "path/to/file.json" #' df <- read.json(path) #' write.df(df, "myfile", "parquet", "overwrite") -#' saveDF(df, parquetPath2, "parquet", mode = saveMode, mergeSchema = mergeSchema) +#' saveDF(df, parquetPath2, "parquet", mode = "append", mergeSchema = TRUE) #' } #' @note write.df since 1.4.0 setMethod("write.df", @@ -3097,8 +3098,8 @@ setMethod("fillna", #' @family SparkDataFrame functions #' @aliases as.data.frame,SparkDataFrame-method #' @rdname as.data.frame -#' @examples \dontrun{ -#' +#' @examples +#' \dontrun{ #' irisDF <- createDataFrame(iris) #' df <- as.data.frame(irisDF[irisDF$Species == "setosa", ]) #' } @@ -3175,7 +3176,8 @@ setMethod("with", #' @aliases str,SparkDataFrame-method #' @family SparkDataFrame functions #' @param object a SparkDataFrame -#' @examples \dontrun{ +#' @examples +#' \dontrun{ #' # Create a SparkDataFrame from the Iris dataset #' irisDF <- createDataFrame(iris) #' diff --git a/R/pkg/R/WindowSpec.R b/R/pkg/R/WindowSpec.R index 4ac83c29c6f7e..81beac9ea9925 100644 --- a/R/pkg/R/WindowSpec.R +++ b/R/pkg/R/WindowSpec.R @@ -203,7 +203,8 @@ setMethod("rangeBetween", #' @aliases over,Column,WindowSpec-method #' @family colum_func #' @export -#' @examples \dontrun{ +#' @examples +#' \dontrun{ #' df <- createDataFrame(mtcars) #' #' # Partition by am (transmission) and order by hp (horsepower) diff --git a/R/pkg/R/column.R b/R/pkg/R/column.R index 574078012adad..a5c2ea81f2490 100644 --- a/R/pkg/R/column.R +++ b/R/pkg/R/column.R @@ -135,7 +135,8 @@ createMethods() #' @aliases alias,Column-method #' @family colum_func #' @export -#' @examples \dontrun{ +#' @examples +#' \dontrun{ #' df <- createDataFrame(iris) #' #' head(select( @@ -244,7 +245,8 @@ setMethod("between", signature(x = "Column"), #' @family colum_func #' @aliases cast,Column-method #' -#' @examples \dontrun{ +#' @examples +#' \dontrun{ #' cast(df$age, "string") #' } #' @note cast since 1.4.0 diff --git a/R/pkg/R/functions.R b/R/pkg/R/functions.R index 5f9d11475c94b..815848233bd2f 100644 --- a/R/pkg/R/functions.R +++ b/R/pkg/R/functions.R @@ -3255,7 +3255,8 @@ setMethod("when", signature(condition = "Column", value = "ANY"), #' @aliases ifelse,Column-method #' @seealso \link{when} #' @export -#' @examples \dontrun{ +#' @examples +#' \dontrun{ #' ifelse(df$a > 1 & df$b > 2, 0, 1) #' ifelse(df$a > 1, df$a, 1) #' } @@ -3290,7 +3291,8 @@ setMethod("ifelse", #' @family window_funcs #' @aliases cume_dist,missing-method #' @export -#' @examples \dontrun{ +#' @examples +#' \dontrun{ #' df <- createDataFrame(mtcars) #' ws <- orderBy(windowPartitionBy("am"), "hp") #' out <- select(df, over(cume_dist(), ws), df$hp, df$am) @@ -3319,7 +3321,8 @@ setMethod("cume_dist", #' @family window_funcs #' @aliases dense_rank,missing-method #' @export -#' @examples \dontrun{ +#' @examples +#' \dontrun{ #' df <- createDataFrame(mtcars) #' ws <- orderBy(windowPartitionBy("am"), "hp") #' out <- select(df, over(dense_rank(), ws), df$hp, df$am) @@ -3350,7 +3353,8 @@ setMethod("dense_rank", #' @aliases lag,characterOrColumn-method #' @family window_funcs #' @export -#' @examples \dontrun{ +#' @examples +#' \dontrun{ #' df <- createDataFrame(mtcars) #' #' # Partition by am (transmission) and order by hp (horsepower) @@ -3393,7 +3397,8 @@ setMethod("lag", #' @family window_funcs #' @aliases lead,characterOrColumn,numeric-method #' @export -#' @examples \dontrun{ +#' @examples +#' \dontrun{ #' df <- createDataFrame(mtcars) #' #' # Partition by am (transmission) and order by hp (horsepower) @@ -3432,7 +3437,8 @@ setMethod("lead", #' @aliases ntile,numeric-method #' @family window_funcs #' @export -#' @examples \dontrun{ +#' @examples +#' \dontrun{ #' df <- createDataFrame(mtcars) #' #' # Partition by am (transmission) and order by hp (horsepower) @@ -3464,7 +3470,8 @@ setMethod("ntile", #' @family window_funcs #' @aliases percent_rank,missing-method #' @export -#' @examples \dontrun{ +#' @examples +#' \dontrun{ #' df <- createDataFrame(mtcars) #' ws <- orderBy(windowPartitionBy("am"), "hp") #' out <- select(df, over(percent_rank(), ws), df$hp, df$am) @@ -3494,7 +3501,8 @@ setMethod("percent_rank", #' @family window_funcs #' @aliases rank,missing-method #' @export -#' @examples \dontrun{ +#' @examples +#' \dontrun{ #' df <- createDataFrame(mtcars) #' ws <- orderBy(windowPartitionBy("am"), "hp") #' out <- select(df, over(rank(), ws), df$hp, df$am) @@ -3531,7 +3539,8 @@ setMethod("rank", #' @aliases row_number,missing-method #' @family window_funcs #' @export -#' @examples \dontrun{ +#' @examples +#' \dontrun{ #' df <- createDataFrame(mtcars) #' ws <- orderBy(windowPartitionBy("am"), "hp") #' out <- select(df, over(row_number(), ws), df$hp, df$am) @@ -3759,7 +3768,8 @@ setMethod("collect_set", #' @family string_funcs #' @aliases split_string,Column-method #' @export -#' @examples \dontrun{ +#' @examples +#' \dontrun{ #' df <- read.text("README.md") #' #' head(select(df, split_string(df$value, "\\s+"))) @@ -3788,7 +3798,8 @@ setMethod("split_string", #' @family string_funcs #' @aliases repeat_string,Column-method #' @export -#' @examples \dontrun{ +#' @examples +#' \dontrun{ #' df <- read.text("README.md") #' #' first(select(df, repeat_string(df$value, 3))) @@ -3817,7 +3828,8 @@ setMethod("repeat_string", #' @family collection_funcs #' @aliases explode_outer,Column-method #' @export -#' @examples \dontrun{ +#' @examples +#' \dontrun{ #' df <- createDataFrame(data.frame( #' id = c(1, 2, 3), text = c("a,b,c", NA, "d,e") #' )) @@ -3845,7 +3857,8 @@ setMethod("explode_outer", #' @family collection_funcs #' @aliases posexplode_outer,Column-method #' @export -#' @examples \dontrun{ +#' @examples +#' \dontrun{ #' df <- createDataFrame(data.frame( #' id = c(1, 2, 3), text = c("a,b,c", NA, "d,e") #' )) @@ -3873,7 +3886,8 @@ setMethod("posexplode_outer", #' @aliases not,Column-method #' @family normal_funcs #' @export -#' @examples \dontrun{ +#' @examples +#' \dontrun{ #' df <- createDataFrame(data.frame( #' is_true = c(TRUE, FALSE, NA), #' flag = c(1, 0, 1) @@ -3906,7 +3920,8 @@ setMethod("not", #' @family agg_funcs #' @aliases grouping_bit,Column-method #' @export -#' @examples \dontrun{ +#' @examples +#' \dontrun{ #' df <- createDataFrame(mtcars) #' #' # With cube @@ -3947,7 +3962,8 @@ setMethod("grouping_bit", #' @family agg_funcs #' @aliases grouping_id,Column-method #' @export -#' @examples \dontrun{ +#' @examples +#' \dontrun{ #' df <- createDataFrame(mtcars) #' #' # With cube @@ -3985,7 +4001,8 @@ setMethod("grouping_id", #' @family normal_funcs #' @aliases input_file_name,missing-method #' @export -#' @examples \dontrun{ +#' @examples +#' \dontrun{ #' df <- read.text("README.md") #' #' head(select(df, input_file_name()))