SparkR
DataFrame
GroupedData
PipelineModel-class
abs
acos
add_months
agg
alias
approxCountDistinct
arrange
array_contains
as.data.frame
ascii
asin
atan
atan2
attach
avg
base64
between
bin
bitwiseNOT
cache
cacheTable
cancelJobGroup
cast
cbrt
ceil
clearCache
clearJobGroup
col
collect
coltypes
column
columns
concat
concat_ws
conv
corr
cos
cosh
count
countDistinct
crc32
createDataFrame
createExternalTable
cume_dist
date_add
date_format
date_sub
datediff
dayofmonth
dayofyear
decode
dense_rank
dim
distinct
dropTempTable
dtypes
encode
except
exp
explain
explode
expm1
expr
factorial
filter
first
floor
format_number
format_string
from_unixtime
from
utc
timestamp
generateAliasesForIntersectedCols
glm
greatest
groupBy
hashCode
head
hex
hour
hypot
ifelse
infer_type
initcap
insertInto
instr
intersect
is.nan
isLocal
join
kurtosis
lag
last
last_day
lead
least
length
levenshtein
limit
lit
locate
log
log10
log1p
log2
lower
lpad
ltrim
match
max
md5
mean
merge
min
minute
month
months_between
mutate
nafunctions
nanvl
ncol
negate
next_day
nrow
ntile
otherwise
percent_rank
persist
pmod
predict
print.jobj
print.structField
print.structType
printSchema
quarter
rand
randn
rank
rbind
read.df
read.json
read.parquet
read.text
regexp_extract
regexp_replace
registerTempTable
rename
repartition
reverse
rint
round
row_number
rpad
rtrim
sample
saveAsTable
schema
sd
second
select
selectExpr
setJobGroup
sha1
sha2
shiftLeft
shiftRight
shiftRightUnsigned
show
showDF
signum
sin
sinh
size
skewness
sort_array
soundex
sparkR.init
sparkR.stop
sparkRHive.init
sparkRSQL.init
sql
sqrt
statfunctions
stddev_pop
stddev_samp
str
struct
structField
structType
subset
substr
substring_index
sum
sumDistinct
summarize
summary
table
tableNames
tables
take
tan
tanh
toDegrees
toRadians
to_date
to
utc
timestamp
translate
trim
unbase64
uncacheTable
unhex
unix_timestamp
unpersist-methods
upper
var
var_pop
var_samp
weekofyear
when
with
withColumn
write.df
write.json
write.parquet
write.text
year
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