| cube {SparkR} | R Documentation |
Create a multi-dimensional cube for the SparkDataFrame using the specified columns.
cube(x, ...) ## S4 method for signature 'SparkDataFrame' cube(x, ...)
x |
a SparkDataFrame. |
... |
character name(s) or Column(s) to group on. |
If grouping expression is missing cube creates a single global aggregate and is
equivalent to direct application of agg.
A GroupedData.
cube since 2.3.0
Other SparkDataFrame functions: SparkDataFrame-class,
agg, alias,
arrange, as.data.frame,
attach,SparkDataFrame-method,
broadcast, cache,
checkpoint, coalesce,
collect, colnames,
coltypes,
createOrReplaceTempView,
crossJoin, dapplyCollect,
dapply, describe,
dim, distinct,
dropDuplicates, dropna,
drop, dtypes,
exceptAll, except,
explain, filter,
first, gapplyCollect,
gapply, getNumPartitions,
group_by, head,
hint, histogram,
insertInto, intersectAll,
intersect, isLocal,
isStreaming, join,
limit, localCheckpoint,
merge, mutate,
ncol, nrow,
persist, printSchema,
randomSplit, rbind,
rename, repartitionByRange,
repartition, rollup,
sample, saveAsTable,
schema, selectExpr,
select, showDF,
show, storageLevel,
str, subset,
summary, take,
toJSON, unionAll,
unionByName, union,
unpersist, withColumn,
withWatermark, with,
write.df, write.jdbc,
write.json, write.orc,
write.parquet, write.stream,
write.text
## Not run:
##D df <- createDataFrame(mtcars)
##D mean(cube(df, "cyl", "gear", "am"), "mpg")
##D
##D # Following calls are equivalent
##D agg(cube(df), mean(df$mpg))
##D agg(df, mean(df$mpg))
## End(Not run)