@@ -715,7 +715,7 @@ setMethod("saveAsParquetFile",
715715
716716# ' Save the content of SparkDataFrame in a text file at the specified path.
717717# '
718- # ' Saves the content of the SparkDataFrame in a text file at the specified path.
718+ # ' Save the content of the SparkDataFrame in a text file at the specified path.
719719# ' The SparkDataFrame must have only one column of string type with the name "value".
720720# ' Each row becomes a new line in the output file.
721721# '
@@ -820,8 +820,6 @@ setMethod("sample_frac",
820820 sample(x , withReplacement , fraction , seed )
821821 })
822822
823- # ' nrow
824- # '
825823# ' Returns the number of rows in a SparkDataFrame
826824# '
827825# ' @param x A SparkDataFrame
@@ -852,8 +850,6 @@ setMethod("nrow",
852850 count(x )
853851 })
854852
855- # ' ncol
856- # '
857853# ' Returns the number of columns in a SparkDataFrame
858854# '
859855# ' @param x a SparkDataFrame
@@ -876,7 +872,7 @@ setMethod("ncol",
876872 length(columns(x ))
877873 })
878874
879- # ' dim
875+ # ' Returns the dimensions of SparkDataFrame
880876# '
881877# ' Returns the dimensions (number of rows and columns) of a SparkDataFrame
882878# ' @param x a SparkDataFrame
@@ -899,8 +895,6 @@ setMethod("dim",
899895 c(count(x ), ncol(x ))
900896 })
901897
902- # ' collect
903- # '
904898# ' Collects all the elements of a SparkDataFrame and coerces them into an R data.frame.
905899# '
906900# ' @param x A SparkDataFrame
@@ -998,8 +992,6 @@ setMethod("limit",
998992 dataFrame(res )
999993 })
1000994
1001- # ' take
1002- # '
1003995# ' Take the first NUM rows of a SparkDataFrame and return a the results as a data.frame
1004996# '
1005997# ' @family SparkDataFrame functions
@@ -1050,8 +1042,6 @@ setMethod("head",
10501042 take(x , num )
10511043 })
10521044
1053- # ' first
1054- # '
10551045# ' Return the first row of a SparkDataFrame
10561046# '
10571047# ' @param x A SparkDataFrame
@@ -2058,8 +2048,6 @@ setMethod("merge",
20582048 joinRes
20592049 })
20602050
2061- # ' generateAliasesForIntersectedCols
2062- # '
20632051# ' Creates a list of columns by replacing the intersected ones with aliases.
20642052# ' The name of the alias column is formed by concatanating the original column name and a suffix.
20652053# '
@@ -2189,9 +2177,9 @@ setMethod("except",
21892177
21902178# ' Save the contents of SparkDataFrame to a data source.
21912179# '
2192- # ' Save the contents of the SparkDataFrame to a data source. The data source is specified by the
2193- # ' `source` and a set of options (...). If `source` is not specified, the default data source
2194- # ' configured by spark.sql.sources.default will be used.
2180+ # ' The data source is specified by the ` source` and a set of options (...).
2181+ # ' If `source` is not specified, the default data source configured by
2182+ # ' spark.sql.sources.default will be used.
21952183# '
21962184# ' Additionally, mode is used to specify the behavior of the save operation when data already
21972185# ' exists in the data source. There are four modes:
@@ -2250,8 +2238,6 @@ setMethod("saveDF",
22502238 write.df(df , path , source , mode , ... )
22512239 })
22522240
2253- # ' saveAsTable
2254- # '
22552241# ' Save the contents of the SparkDataFrame to a data source as a table
22562242# '
22572243# ' The data source is specified by the `source` and a set of options (...).
@@ -2791,7 +2777,7 @@ setMethod("histogram",
27912777
27922778# ' Save the content of SparkDataFrame to an external database table via JDBC.
27932779# '
2794- # ' Saves the content of the SparkDataFrame to an external database table via JDBC. Additional JDBC
2780+ # ' Save the content of the SparkDataFrame to an external database table via JDBC. Additional JDBC
27952781# ' database connection properties can be set (...)
27962782# '
27972783# ' Also, mode is used to specify the behavior of the save operation when
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