Index of /apache/spark/docs/1.5.0/api/R
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00Index.html 2024-08-16 10:54 28K R: R frontend for Spark
00frame_toc.html 2024-08-16 10:54 13K R Documentation of SparkR
unix_timestamp.html 2024-08-16 10:54 7.6K R: unix_timestamp
ceil.html 2024-08-16 10:54 5.8K R: ceil
signum.html 2024-08-16 10:54 5.8K R: signum
count.html 2024-08-16 10:54 3.8K R: Count
last_day.html 2024-08-16 10:54 3.7K R: last_day
initcap.html 2024-08-16 10:54 3.7K R: initcap
ascii.html 2024-08-16 10:54 3.6K R: ascii
base64.html 2024-08-16 10:54 3.6K R: base64
unbase64.html 2024-08-16 10:54 3.6K R: unbase64
months_between.html 2024-08-16 10:54 3.6K R: months_between
dayofmonth.html 2024-08-16 10:54 3.6K R: dayofmonth
dayofyear.html 2024-08-16 10:54 3.6K R: dayofyear
weekofyear.html 2024-08-16 10:54 3.6K R: weekofyear
length.html 2024-08-16 10:54 3.6K R: length
levenshtein.html 2024-08-16 10:54 3.6K R: levenshtein
quarter.html 2024-08-16 10:54 3.6K R: quarter
second.html 2024-08-16 10:54 3.6K R: second
minute.html 2024-08-16 10:54 3.6K R: minute
month.html 2024-08-16 10:54 3.6K R: month
datediff.html 2024-08-16 10:54 3.6K R: datediff
next_day.html 2024-08-16 10:54 3.6K R: next_day
hour.html 2024-08-16 10:54 3.6K R: hour
bin.html 2024-08-16 10:54 3.6K R: bin
atan2.html 2024-08-16 10:54 3.6K R: atan2
year.html 2024-08-16 10:54 3.6K R: year
reverse.html 2024-08-16 10:54 3.6K R: reverse
date_format.html 2024-08-16 10:54 3.6K R: date_format
rtrim.html 2024-08-16 10:54 3.6K R: rtrim
ltrim.html 2024-08-16 10:54 3.6K R: ltrim
trim.html 2024-08-16 10:54 3.6K R: trim
soundex.html 2024-08-16 10:54 3.6K R: soundex
asin.html 2024-08-16 10:54 3.6K R: asin
acos.html 2024-08-16 10:54 3.6K R: acos
to_date.html 2024-08-16 10:54 3.6K R: to_date
unhex.html 2024-08-16 10:54 3.6K R: unhex
upper.html 2024-08-16 10:54 3.6K R: upper
lower.html 2024-08-16 10:54 3.6K R: lower
toRadians.html 2024-08-16 10:54 3.5K R: toRadians
toDegrees.html 2024-08-16 10:54 3.5K R: toDegrees
rint.html 2024-08-16 10:54 3.5K R: rint
round.html 2024-08-16 10:54 3.5K R: round
log1p.html 2024-08-16 10:54 3.5K R: log1p
factorial.html 2024-08-16 10:54 3.5K R: factorial
expm1.html 2024-08-16 10:54 3.5K R: expm1
log10.html 2024-08-16 10:54 3.5K R: log10
sqrt.html 2024-08-16 10:54 3.5K R: sqrt
log2.html 2024-08-16 10:54 3.5K R: log2
tanh.html 2024-08-16 10:54 3.5K R: tanh
hypot.html 2024-08-16 10:54 3.5K R: hypot
cosh.html 2024-08-16 10:54 3.5K R: cosh
sinh.html 2024-08-16 10:54 3.5K R: sinh
atan.html 2024-08-16 10:54 3.5K R: atan
approxCountDistinct.html 2024-08-16 10:54 3.5K R: approxCountDistinct
log.html 2024-08-16 10:54 3.5K R: log
substring_index.html 2024-08-16 10:54 3.5K R: substring_index
floor.html 2024-08-16 10:54 3.5K R: floor
exp.html 2024-08-16 10:54 3.5K R: exp
tan.html 2024-08-16 10:54 3.5K R: tan
cos.html 2024-08-16 10:54 3.5K R: cos
sin.html 2024-08-16 10:54 3.5K R: sin
pmod.html 2024-08-16 10:54 3.5K R: pmod
nafunctions.html 2024-08-16 10:54 3.5K R: dropna
cbrt.html 2024-08-16 10:54 3.5K R: cbrt
hex.html 2024-08-16 10:54 3.5K R: hex
translate.html 2024-08-16 10:54 3.4K R: translate
format_number.html 2024-08-16 10:54 3.4K R: format_number
instr.html 2024-08-16 10:54 3.4K R: instr
from_unixtime.html 2024-08-16 10:54 3.3K R: from_unixtime
locate.html 2024-08-16 10:54 3.3K R: locate
regexp_replace.html 2024-08-16 10:54 3.3K R: regexp_replace
regexp_extract.html 2024-08-16 10:54 3.2K R: regexp_extract
concat_ws.html 2024-08-16 10:54 3.2K R: concat_ws
format_string.html 2024-08-16 10:54 3.2K R: format_string
shiftRightUnsigned.html 2024-08-16 10:54 3.2K R: shiftRightUnsigned
from_utc_timestamp.html 2024-08-16 10:54 3.2K R: from_utc_timestamp
to_utc_timestamp.html 2024-08-16 10:54 3.2K R: to_utc_timestamp
shiftLeft.html 2024-08-16 10:54 3.2K R: shiftLeft
concat.html 2024-08-16 10:54 3.2K R: concat
shiftRight.html 2024-08-16 10:54 3.2K R: shiftRight
add_months.html 2024-08-16 10:54 3.2K R: add_months
date_sub.html 2024-08-16 10:54 3.2K R: date_sub
date_add.html 2024-08-16 10:54 3.2K R: date_add
rpad.html 2024-08-16 10:54 3.2K R: rpad
lpad.html 2024-08-16 10:54 3.2K R: lpad
conv.html 2024-08-16 10:54 3.1K R: conv
subset.html 2024-08-16 10:54 3.0K R: Subset
countDistinct.html 2024-08-16 10:54 3.0K R: Count Distinct
randn.html 2024-08-16 10:54 2.9K R: randn
rand.html 2024-08-16 10:54 2.9K R: rand
sparkR.init.html 2024-08-16 10:54 2.8K R: Initialize a new Spark Context.
first.html 2024-08-16 10:54 2.8K R: Return the first row of a DataFrame
write.df.html 2024-08-16 10:54 2.7K R: Save the contents of the DataFrame to a data source
withColumn.html 2024-08-16 10:54 2.7K R: WithColumn
filter.html 2024-08-16 10:54 2.6K R: Filter
saveAsTable.html 2024-08-16 10:54 2.6K R: saveAsTable
select.html 2024-08-16 10:54 2.5K R: Select
withColumnRenamed.html 2024-08-16 10:54 2.5K R: WithColumnRenamed
glm.html 2024-08-16 10:54 2.5K R: Fits a generalized linear model
glm-formula-ANY-DataFrame-method.html 2024-08-16 10:54 2.5K R: Fits a generalized linear model, similarly to R's glm(). Also...
agg.html 2024-08-16 10:54 2.4K R: Summarize data across columns
mean.html 2024-08-16 10:54 2.4K R: mean
min.html 2024-08-16 10:54 2.4K R: min
max.html 2024-08-16 10:54 2.4K R: max
sum.html 2024-08-16 10:54 2.4K R: sum
sumDistinct.html 2024-08-16 10:54 2.4K R: sumDistinct
nanvl.html 2024-08-16 10:54 2.3K R: nanvl
avg.html 2024-08-16 10:54 2.3K R: avg
last.html 2024-08-16 10:54 2.3K R: last
join.html 2024-08-16 10:54 2.3K R: Join
abs.html 2024-08-16 10:54 2.3K R: abs
negate.html 2024-08-16 10:54 2.3K R: negate
bitwiseNOT.html 2024-08-16 10:54 2.3K R: bitwiseNOT
isNaN.html 2024-08-16 10:54 2.2K R: isNaN
createExternalTable.html 2024-08-16 10:54 2.2K R: Create an external table
statfunctions.html 2024-08-16 10:54 2.2K R: crosstab
lit.html 2024-08-16 10:54 2.1K R: Creates a 'Column' of literal value.
sample.html 2024-08-16 10:54 2.1K R: Sample
setJobGroup.html 2024-08-16 10:54 2.0K R: Assigns a group ID to all the jobs started by this thread...
arrange.html 2024-08-16 10:54 2.0K R: Arrange
insertInto.html 2024-08-16 10:54 2.0K R: insertInto
structField.html 2024-08-16 10:54 2.0K R: structField
ifelse.html 2024-08-16 10:54 2.0K R: ifelse
hashCode.html 2024-08-16 10:54 2.0K R: Compute the hashCode of an object
read.df.html 2024-08-16 10:54 2.0K R: Load an DataFrame
describe.html 2024-08-16 10:54 2.0K R: describe
greatest.html 2024-08-16 10:54 2.0K R: greatest
collect-methods.html 2024-08-16 10:54 2.0K R: Collects all the elements of a Spark DataFrame and coerces...
when.html 2024-08-16 10:54 2.0K R: when
least.html 2024-08-16 10:54 2.0K R: least
collect.html 2024-08-16 10:54 1.9K R: Collects all the elements of a Spark DataFrame and coerces...
expr.html 2024-08-16 10:54 1.9K R: expr
structType.html 2024-08-16 10:54 1.9K R: structType
createDataFrame.html 2024-08-16 10:54 1.9K R: Create a DataFrame from an RDD
groupBy.html 2024-08-16 10:54 1.9K R: GroupBy
unionAll.html 2024-08-16 10:54 1.9K R: UnionAll
saveAsParquetFile.html 2024-08-16 10:54 1.9K R: saveAsParquetFile
registerTempTable.html 2024-08-16 10:54 1.8K R: Register Temporary Table
table.html 2024-08-16 10:54 1.8K R: Create a DataFrame from a SparkSQL Table
selectExpr.html 2024-08-16 10:54 1.8K R: SelectExpr
intersect.html 2024-08-16 10:54 1.8K R: Intersect
dropTempTable.html 2024-08-16 10:54 1.8K R: Drop Temporary Table
jsonFile.html 2024-08-16 10:54 1.8K R: Create a DataFrame from a JSON file.
except.html 2024-08-16 10:54 1.8K R: except
predict-PipelineModel-method.html 2024-08-16 10:54 1.8K R: Fits a generalized linear model, similarly to R's glm().
head.html 2024-08-16 10:54 1.8K R: Head
sql.html 2024-08-16 10:54 1.7K R: SQL Query
uncacheTable.html 2024-08-16 10:54 1.7K R: Uncache Table
unpersist-methods.html 2024-08-16 10:54 1.7K R: Unpersist
predict.html 2024-08-16 10:54 1.7K R: Make predictions from a model
limit.html 2024-08-16 10:54 1.7K R: Limit
explain.html 2024-08-16 10:54 1.7K R: Explain
cacheTable.html 2024-08-16 10:54 1.7K R: Cache Table
summary.html 2024-08-16 10:54 1.7K R: Summary
persist.html 2024-08-16 10:54 1.7K R: Persist
repartition.html 2024-08-16 10:54 1.7K R: Repartition
showDF.html 2024-08-16 10:54 1.7K R: showDF
cast.html 2024-08-16 10:54 1.6K R: Casts the column to a different data type.
columns.html 2024-08-16 10:54 1.6K R: Column names
tableNames.html 2024-08-16 10:54 1.6K R: Table Names
dim.html 2024-08-16 10:54 1.6K R: Returns the dimentions (number of rows and columns) of a...
schema.html 2024-08-16 10:54 1.6K R: Get schema object
tables.html 2024-08-16 10:54 1.6K R: Tables
show.html 2024-08-16 10:54 1.6K R: show
cancelJobGroup.html 2024-08-16 10:54 1.6K R: Cancel active jobs for the specified group
isLocal.html 2024-08-16 10:54 1.6K R: isLocal
ncol.html 2024-08-16 10:54 1.6K R: Returns the number of columns in a DataFrame
distinct.html 2024-08-16 10:54 1.5K R: Distinct
printSchema.html 2024-08-16 10:54 1.5K R: Print Schema of a DataFrame
sparkRSQL.init.html 2024-08-16 10:54 1.5K R: Initialize a new SQLContext.
crc32.html 2024-08-16 10:54 1.5K R: crc32
cache-methods.html 2024-08-16 10:54 1.5K R: Cache
sha1.html 2024-08-16 10:54 1.5K R: sha1
md5.html 2024-08-16 10:54 1.5K R: md5
take.html 2024-08-16 10:54 1.5K R: Take the first NUM rows of a DataFrame and return a the...
dtypes.html 2024-08-16 10:54 1.5K R: DataTypes
sparkRHive.init.html 2024-08-16 10:54 1.5K R: Initialize a new HiveContext.
cache.html 2024-08-16 10:54 1.5K R: Cache
clearJobGroup.html 2024-08-16 10:54 1.4K R: Clear current job group ID and its description
DataFrame.html 2024-08-16 10:54 1.4K R: S4 class that represents a DataFrame
match.html 2024-08-16 10:54 1.4K R: Match a column with given values.
sha2.html 2024-08-16 10:54 1.4K R: sha2
clearCache.html 2024-08-16 10:54 1.4K R: Clear Cache
explode.html 2024-08-16 10:54 1.4K R: explode
size.html 2024-08-16 10:54 1.3K R: size
substr.html 2024-08-16 10:54 1.2K R: substr
between.html 2024-08-16 10:54 1.2K R: between
column.html 2024-08-16 10:54 1.2K R: S4 class that represents a DataFrame column
print.structField.html 2024-08-16 10:54 1.1K R: Print a Spark StructField.
print.structType.html 2024-08-16 10:54 1.1K R: Print a Spark StructType.
parquetFile.html 2024-08-16 10:54 1.1K R: Create a DataFrame from a Parquet file.
print.jobj.html 2024-08-16 10:54 1.1K R: Print a JVM object reference.
otherwise.html 2024-08-16 10:54 1.1K R: otherwise
GroupedData.html 2024-08-16 10:54 1.0K R: S4 class that represents a GroupedData
alias.html 2024-08-16 10:54 1.0K R: alias
PipelineModel-class.html 2024-08-16 10:54 1.0K R: S4 class that represents a PipelineModel
merge-DataFrame-DataFrame-method.html 2024-08-16 10:54 902 R: rdname merge aliases join
rbind.html 2024-08-16 10:54 888 R: Union two or more DataFrames
unique.html 2024-08-16 10:54 844 R: Distinct rows in a DataFrame
merge.html 2024-08-16 10:54 827 R: rdname merge
nrow.html 2024-08-16 10:54 814 R: Number of rows for a DataFrame
sparkR.stop.html 2024-08-16 10:54 801 R: Stop the Spark context.
R.css 2024-08-16 10:54 775
infer_type.html 2024-08-16 10:54 749 R: infer the SQL type
index.html 2024-08-16 10:54 295 Documentation of the SparkR package
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