attach,DataFrame-method {SparkR} | R Documentation |
The specified DataFrame is attached to the R search path. This means that the DataFrame is searched by R when evaluating a variable, so columns in the DataFrame can be accessed by simply giving their names.
## S4 method for signature 'DataFrame' attach(what, pos = 2, name = deparse(substitute(what)), warn.conflicts = TRUE) attach(what, pos = 2L, name = deparse(substitute(what)), warn.conflicts = TRUE)
what |
(DataFrame) The DataFrame to attach |
pos |
(integer) Specify position in search() where to attach. |
name |
(character) Name to use for the attached DataFrame. Names starting with package: are reserved for library. |
warn.conflicts |
(logical) If TRUE, warnings are printed about conflicts from attaching the database, unless that DataFrame contains an object |
Other DataFrame functions: $
,
$<-
, select
,
select
,
select,DataFrame,Column-method
,
select,DataFrame,list-method
,
selectExpr
; DataFrame-class
,
dataFrame
, groupedData
;
[
, [
, [[
,
subset
; agg
,
agg
,
count,GroupedData-method
,
summarize
, summarize
;
arrange
, arrange
,
arrange
, orderBy
,
orderBy
; as.data.frame
,
as.data.frame,DataFrame-method
;
cache
; collect
;
colnames
, colnames
,
colnames<-
, colnames<-
,
columns
, names
,
names<-
; coltypes
,
coltypes
, coltypes<-
,
coltypes<-
; columns
,
dtypes
, printSchema
,
schema
, schema
;
count
, nrow
;
describe
, describe
,
describe
, summary
,
summary
,
summary,PipelineModel-method
;
dim
; distinct
,
unique
; dropna
,
dropna
, fillna
,
fillna
, na.omit
,
na.omit
; dtypes
;
except
, except
;
explain
, explain
;
filter
, filter
,
where
, where
;
first
, first
;
groupBy
, groupBy
,
group_by
, group_by
;
head
; insertInto
,
insertInto
; intersect
,
intersect
; isLocal
,
isLocal
; join
;
limit
, limit
;
merge
, merge
;
mutate
, mutate
,
transform
; ncol
;
persist
; printSchema
;
rbind
, rbind
,
unionAll
, unionAll
;
registerTempTable
,
registerTempTable
; rename
,
rename
, withColumnRenamed
,
withColumnRenamed
;
repartition
; sample
,
sample
, sample_frac
,
sample_frac
;
saveAsParquetFile
,
saveAsParquetFile
,
write.parquet
, write.parquet
;
saveAsTable
, saveAsTable
;
saveDF
, saveDF
,
write.df
, write.df
;
selectExpr
; showDF
,
showDF
; show
,
show
,
show,GroupedData-method
;
take
; transform
,
withColumn
, withColumn
;
unpersist
; write.json
,
write.json
## Not run:
##D attach(irisDf)
##D summary(Sepal_Width)
## End(Not run)