| 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(),
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)