Index of /apache/spark/docs/2.0.0/api/R
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index.html 2024-08-16 11:59 295 Documentation of the SparkR package
R.css 2024-08-16 11:59 775
columnfunctions.html 2024-08-16 11:59 875 R: A set of operations working with SparkDataFrame columns
KMeansModel-class.html 2024-08-16 11:59 897 R: S4 class that represents a KMeansModel
sparkR.session.stop.html 2024-08-16 11:59 904 R: Stop the Spark Session and Spark Context
NaiveBayesModel-class.html 2024-08-16 11:59 927 R: S4 class that represents a NaiveBayesModel
read.orc.html 2024-08-16 11:59 956 R: Create a SparkDataFrame from an ORC file.
predict.html 2024-08-16 11:59 1.0K R: Makes predictions from a MLlib model
AFTSurvivalRegressionModel-class.html 2024-08-16 11:59 1.0K R: S4 class that represents a AFTSurvivalRegressionModel
GroupedData.html 2024-08-16 11:59 1.0K R: S4 class that represents a GroupedData
GeneralizedLinearRegressionModel-class.html 2024-08-16 11:59 1.0K R: S4 class that represents a generalized linear model
WindowSpec.html 2024-08-16 11:59 1.0K R: S4 class that represents a WindowSpec
write.ml.html 2024-08-16 11:59 1.0K R: Saves the MLlib model to the input path
print.jobj.html 2024-08-16 11:59 1.0K R: Print a JVM object reference.
print.structType.html 2024-08-16 11:59 1.1K R: Print a Spark StructType.
print.structField.html 2024-08-16 11:59 1.1K R: Print a Spark StructField.
read.parquet.html 2024-08-16 11:59 1.1K R: Create a SparkDataFrame from a Parquet file.
clearCache.html 2024-08-16 11:59 1.2K R: Clear Cache
clearJobGroup.html 2024-08-16 11:59 1.3K R: Clear current job group ID and its description
match.html 2024-08-16 11:59 1.3K R: Match a column with given values.
tables.html 2024-08-16 11:59 1.4K R: Tables
setLogLevel.html 2024-08-16 11:59 1.4K R: Set new log level
tableNames.html 2024-08-16 11:59 1.4K R: Table Names
cancelJobGroup.html 2024-08-16 11:59 1.4K R: Cancel active jobs for the specified group
count.html 2024-08-16 11:59 1.4K R: Count
generateAliasesForIntersectedCols.html 2024-08-16 11:59 1.4K R: Creates a list of columns by replacing the intersected ones...
spark_partition_id.html 2024-08-16 11:59 1.5K R: Return the partition ID as a column
read.ml.html 2024-08-16 11:59 1.5K R: Load a fitted MLlib model from the input path.
cacheTable.html 2024-08-16 11:59 1.5K R: Cache Table
uncacheTable.html 2024-08-16 11:59 1.5K R: Uncache Table
sql.html 2024-08-16 11:59 1.5K R: SQL Query
hashCode.html 2024-08-16 11:59 1.6K R: Compute the hashCode of an object
dropTempView.html 2024-08-16 11:59 1.6K R: Drops the temporary view with the given view name in the...
tableToDF.html 2024-08-16 11:59 1.7K R: Create a SparkDataFrame from a SparkSQL Table
fitted.html 2024-08-16 11:59 1.7K R: Get fitted result from a k-means model
dropTempTable-deprecated.html 2024-08-16 11:59 1.7K R: (Deprecated) Drop Temporary Table
read.json.html 2024-08-16 11:59 1.7K R: Create a SparkDataFrame from a JSON file.
sparkRHive.init-deprecated.html 2024-08-16 11:59 1.7K R: (Deprecated) Initialize a new HiveContext
read.text.html 2024-08-16 11:59 1.7K R: Create a SparkDataFrame from a text file.
sparkRSQL.init-deprecated.html 2024-08-16 11:59 1.7K R: (Deprecated) Initialize a new SQLContext
over.html 2024-08-16 11:59 1.8K R: over
createDataFrame.html 2024-08-16 11:59 1.8K R: Create a SparkDataFrame
otherwise.html 2024-08-16 11:59 1.9K R: otherwise
approxCountDistinct.html 2024-08-16 11:59 1.9K R: Returns the approximate number of distinct items in a group
windowOrderBy.html 2024-08-16 11:59 1.9K R: windowOrderBy
setJobGroup.html 2024-08-16 11:59 1.9K R: Assigns a group ID to all the jobs started by this thread...
windowPartitionBy.html 2024-08-16 11:59 1.9K R: windowPartitionBy
between.html 2024-08-16 11:59 1.9K R: between
sparkR.conf.html 2024-08-16 11:59 2.0K R: Get Runtime Config from the current active SparkSession
structType.html 2024-08-16 11:59 2.0K R: structType
size.html 2024-08-16 11:59 2.0K R: size
alias.html 2024-08-16 11:59 2.0K R: alias
substr.html 2024-08-16 11:59 2.0K R: substr
createExternalTable.html 2024-08-16 11:59 2.0K R: Create an external table
explode.html 2024-08-16 11:59 2.0K R: explode
posexplode.html 2024-08-16 11:59 2.1K R: posexplode
structField.html 2024-08-16 11:59 2.1K R: structField
endsWith.html 2024-08-16 11:59 2.1K R: endsWith
startsWith.html 2024-08-16 11:59 2.1K R: startsWith
array_contains.html 2024-08-16 11:59 2.1K R: array_contains
hash.html 2024-08-16 11:59 2.2K R: hash
md5.html 2024-08-16 11:59 2.2K R: md5
sha1.html 2024-08-16 11:59 2.2K R: sha1
crc32.html 2024-08-16 11:59 2.2K R: crc32
sha2.html 2024-08-16 11:59 2.3K R: sha2
cast.html 2024-08-16 11:59 2.3K R: Casts the column to a different data type.
sort_array.html 2024-08-16 11:59 2.3K R: sort_array
row_number.html 2024-08-16 11:59 2.5K R: row_number
read.df.html 2024-08-16 11:59 2.6K R: Load a SparkDataFrame
partitionBy.html 2024-08-16 11:59 2.6K R: partitionBy
percent_rank.html 2024-08-16 11:59 2.7K R: percent_rank
monotonically_increasing_id.html 2024-08-16 11:59 2.7K R: monotonically_increasing_id
cume_dist.html 2024-08-16 11:59 2.7K R: cume_dist
lag.html 2024-08-16 11:59 2.7K R: lag
spark.lapply.html 2024-08-16 11:59 2.7K R: Run a function over a list of elements, distributing the...
rank.html 2024-08-16 11:59 2.8K R: rank
glm.html 2024-08-16 11:59 2.8K R: Generalized Linear Models (R-compliant)
dense_rank.html 2024-08-16 11:59 2.8K R: dense_rank
ntile.html 2024-08-16 11:59 2.8K R: ntile
sparkR.init-deprecated.html 2024-08-16 11:59 3.0K R: (Deprecated) Initialize a new Spark Context
pivot.html 2024-08-16 11:59 3.0K R: Pivot a column of the GroupedData and perform the specified...
lead.html 2024-08-16 11:59 3.1K R: lead
rangeBetween.html 2024-08-16 11:59 3.2K R: rangeBetween
rowsBetween.html 2024-08-16 11:59 3.2K R: rowsBetween
sampleBy.html 2024-08-16 11:59 3.2K R: Returns a stratified sample without replacement
sparkR.session.html 2024-08-16 11:59 3.2K R: Get the existing SparkSession or initialize a new...
read.jdbc.html 2024-08-16 11:59 3.3K R: Create a SparkDataFrame representing the database table...
freqItems.html 2024-08-16 11:59 3.4K R: Finding frequent items for columns, possibly with false...
crosstab.html 2024-08-16 11:59 3.4K R: Computes a pair-wise frequency table of the given columns
rand.html 2024-08-16 11:59 3.6K R: rand
randn.html 2024-08-16 11:59 3.6K R: randn
expr.html 2024-08-16 11:59 3.7K R: expr
bitwiseNOT.html 2024-08-16 11:59 3.8K R: bitwiseNOT
negate.html 2024-08-16 11:59 3.8K R: negate
abs.html 2024-08-16 11:59 3.8K R: abs
when.html 2024-08-16 11:59 3.8K R: when
is.nan.html 2024-08-16 11:59 3.8K R: is.nan
lit.html 2024-08-16 11:59 3.8K R: lit
spark.survreg.html 2024-08-16 11:59 3.9K R: Accelerated Failure Time (AFT) Survival Regression Model
struct.html 2024-08-16 11:59 3.9K R: struct
ifelse.html 2024-08-16 11:59 3.9K R: ifelse
spark.kmeans.html 2024-08-16 11:59 3.9K R: K-Means Clustering Model
nanvl.html 2024-08-16 11:59 3.9K R: nanvl
spark.naiveBayes.html 2024-08-16 11:59 3.9K R: Naive Bayes Models
column.html 2024-08-16 11:59 4.0K R: S4 class that represents a SparkDataFrame column
least.html 2024-08-16 11:59 4.0K R: least
greatest.html 2024-08-16 11:59 4.0K R: greatest
approxQuantile.html 2024-08-16 11:59 4.1K R: Calculates the approximate quantiles of a numerical column of...
spark.glm.html 2024-08-16 11:59 4.8K R: Generalized Linear Models
avg.html 2024-08-16 11:59 5.2K R: avg
kurtosis.html 2024-08-16 11:59 5.2K R: kurtosis
skewness.html 2024-08-16 11:59 5.2K R: skewness
sumDistinct.html 2024-08-16 11:59 5.2K R: sumDistinct
sum.html 2024-08-16 11:59 5.2K R: sum
max.html 2024-08-16 11:59 5.2K R: max
min.html 2024-08-16 11:59 5.2K R: min
mean.html 2024-08-16 11:59 5.2K R: mean
var_samp.html 2024-08-16 11:59 5.3K R: var_samp
var_pop.html 2024-08-16 11:59 5.3K R: var_pop
stddev_pop.html 2024-08-16 11:59 5.3K R: stddev_pop
stddev_samp.html 2024-08-16 11:59 5.3K R: stddev_samp
sd.html 2024-08-16 11:59 5.3K R: sd
var.html 2024-08-16 11:59 5.3K R: var
unix_timestamp.html 2024-08-16 11:59 5.4K R: unix_timestamp
to_date.html 2024-08-16 11:59 5.4K R: to_date
last.html 2024-08-16 11:59 5.4K R: last
year.html 2024-08-16 11:59 5.4K R: year
hour.html 2024-08-16 11:59 5.5K R: hour
month.html 2024-08-16 11:59 5.5K R: month
minute.html 2024-08-16 11:59 5.5K R: minute
second.html 2024-08-16 11:59 5.5K R: second
quarter.html 2024-08-16 11:59 5.5K R: quarter
weekofyear.html 2024-08-16 11:59 5.5K R: weekofyear
dayofyear.html 2024-08-16 11:59 5.5K R: dayofyear
dayofmonth.html 2024-08-16 11:59 5.5K R: dayofmonth
countDistinct.html 2024-08-16 11:59 5.5K R: Count Distinct
lpad.html 2024-08-16 11:59 5.5K R: lpad
rpad.html 2024-08-16 11:59 5.5K R: rpad
datediff.html 2024-08-16 11:59 5.5K R: datediff
date_add.html 2024-08-16 11:59 5.5K R: date_add
from_unixtime.html 2024-08-16 11:59 5.5K R: from_unixtime
add_months.html 2024-08-16 11:59 5.5K R: add_months
date_sub.html 2024-08-16 11:59 5.5K R: date_sub
months_between.html 2024-08-16 11:59 5.5K R: months_between
to_utc_timestamp.html 2024-08-16 11:59 5.6K R: to_utc_timestamp
from_utc_timestamp.html 2024-08-16 11:59 5.6K R: from_utc_timestamp
format_string.html 2024-08-16 11:59 5.6K R: format_string
last_day.html 2024-08-16 11:59 5.6K R: last_day
regexp_extract.html 2024-08-16 11:59 5.6K R: regexp_extract
regexp_replace.html 2024-08-16 11:59 5.6K R: regexp_replace
lower.html 2024-08-16 11:59 5.6K R: lower
upper.html 2024-08-16 11:59 5.6K R: upper
soundex.html 2024-08-16 11:59 5.6K R: soundex
ltrim.html 2024-08-16 11:59 5.6K R: ltrim
trim.html 2024-08-16 11:59 5.6K R: trim
rtrim.html 2024-08-16 11:59 5.6K R: rtrim
locate.html 2024-08-16 11:59 5.6K R: locate
reverse.html 2024-08-16 11:59 5.7K R: reverse
length.html 2024-08-16 11:59 5.7K R: length
unbase64.html 2024-08-16 11:59 5.7K R: unbase64
base64.html 2024-08-16 11:59 5.7K R: base64
ascii.html 2024-08-16 11:59 5.7K R: ascii
levenshtein.html 2024-08-16 11:59 5.8K R: levenshtein
concat.html 2024-08-16 11:59 5.8K R: concat
translate.html 2024-08-16 11:59 5.8K R: translate
initcap.html 2024-08-16 11:59 5.8K R: initcap
decode.html 2024-08-16 11:59 5.9K R: decode
encode.html 2024-08-16 11:59 5.9K R: encode
concat_ws.html 2024-08-16 11:59 5.9K R: concat_ws
substring_index.html 2024-08-16 11:59 5.9K R: substring_index
instr.html 2024-08-16 11:59 5.9K R: instr
date_format.html 2024-08-16 11:59 6.0K R: date_format
format_number.html 2024-08-16 11:59 6.0K R: format_number
next_day.html 2024-08-16 11:59 6.0K R: next_day
hex.html 2024-08-16 11:59 6.7K R: hex
cbrt.html 2024-08-16 11:59 6.7K R: cbrt
sin.html 2024-08-16 11:59 6.7K R: sin
cos.html 2024-08-16 11:59 6.7K R: cos
tan.html 2024-08-16 11:59 6.7K R: tan
exp.html 2024-08-16 11:59 6.7K R: exp
floor.html 2024-08-16 11:59 6.7K R: floor
log.html 2024-08-16 11:59 6.7K R: log
atan.html 2024-08-16 11:59 6.7K R: atan
sinh.html 2024-08-16 11:59 6.7K R: sinh
cosh.html 2024-08-16 11:59 6.7K R: cosh
tanh.html 2024-08-16 11:59 6.7K R: tanh
log2.html 2024-08-16 11:59 6.7K R: log2
sqrt.html 2024-08-16 11:59 6.7K R: sqrt
log10.html 2024-08-16 11:59 6.7K R: log10
expm1.html 2024-08-16 11:59 6.7K R: expm1
factorial.html 2024-08-16 11:59 6.7K R: factorial
log1p.html 2024-08-16 11:59 6.8K R: log1p
toDegrees.html 2024-08-16 11:59 6.8K R: toDegrees
toRadians.html 2024-08-16 11:59 6.8K R: toRadians
ceil.html 2024-08-16 11:59 6.8K R: Computes the ceiling of the given value
rint.html 2024-08-16 11:59 6.8K R: rint
sign.html 2024-08-16 11:59 6.8K R: signum
unhex.html 2024-08-16 11:59 6.8K R: unhex
round.html 2024-08-16 11:59 6.8K R: round
acos.html 2024-08-16 11:59 6.8K R: acos
asin.html 2024-08-16 11:59 6.8K R: asin
pmod.html 2024-08-16 11:59 6.8K R: pmod
bin.html 2024-08-16 11:59 6.8K R: bin
hypot.html 2024-08-16 11:59 6.8K R: hypot
atan2.html 2024-08-16 11:59 6.9K R: atan2
shiftRight.html 2024-08-16 11:59 6.9K R: shiftRight
shiftLeft.html 2024-08-16 11:59 6.9K R: shiftLeft
window.html 2024-08-16 11:59 6.9K R: window
covar_pop.html 2024-08-16 11:59 6.9K R: covar_pop
shiftRightUnsigned.html 2024-08-16 11:59 6.9K R: shiftRightUnsigned
conv.html 2024-08-16 11:59 6.9K R: conv
bround.html 2024-08-16 11:59 7.0K R: bround
cov.html 2024-08-16 11:59 8.5K R: cov
corr.html 2024-08-16 11:59 8.8K R: corr
columns.html 2024-08-16 11:59 17K R: Column names
dtypes.html 2024-08-16 11:59 17K R: DataTypes
cache.html 2024-08-16 11:59 17K R: Cache
printSchema.html 2024-08-16 11:59 17K R: Print Schema of a SparkDataFrame
isLocal.html 2024-08-16 11:59 17K R: isLocal
distinct.html 2024-08-16 11:59 17K R: Distinct
schema.html 2024-08-16 11:59 17K R: Get schema object
take.html 2024-08-16 11:59 17K R: Take the first NUM rows of a SparkDataFrame and return a the...
show.html 2024-08-16 11:59 17K R: show
ncol.html 2024-08-16 11:59 17K R: Returns the number of columns in a SparkDataFrame
dim.html 2024-08-16 11:59 17K R: Returns the dimensions of SparkDataFrame
explain.html 2024-08-16 11:59 17K R: Explain
limit.html 2024-08-16 11:59 17K R: Limit
str.html 2024-08-16 11:59 17K R: Compactly display the structure of a dataset
groupBy.html 2024-08-16 11:59 17K R: GroupBy
drop.html 2024-08-16 11:59 17K R: drop
unpersist-methods.html 2024-08-16 11:59 17K R: Unpersist
except.html 2024-08-16 11:59 17K R: except
intersect.html 2024-08-16 11:59 17K R: Intersect
head.html 2024-08-16 11:59 18K R: Head
summary.html 2024-08-16 11:59 18K R: summary
persist.html 2024-08-16 11:59 18K R: Persist
registerTempTable-deprecated.html 2024-08-16 11:59 18K R: (Deprecated) Register Temporary Table
showDF.html 2024-08-16 11:59 18K R: showDF
selectExpr.html 2024-08-16 11:59 18K R: SelectExpr
write.json.html 2024-08-16 11:59 18K R: Save the contents of SparkDataFrame as a JSON file
rbind.html 2024-08-16 11:59 18K R: Union two or more SparkDataFrames
write.parquet.html 2024-08-16 11:59 18K R: Save the contents of SparkDataFrame as a Parquet file,...
write.orc.html 2024-08-16 11:59 18K R: Save the contents of SparkDataFrame as an ORC file,...
createOrReplaceTempView.html 2024-08-16 11:59 18K R: Creates a temporary view using the given name.
write.text.html 2024-08-16 11:59 18K R: Save the content of SparkDataFrame in a text file at the...
randomSplit.html 2024-08-16 11:59 18K R: randomSplit
sample.html 2024-08-16 11:59 18K R: Sample
dropDuplicates.html 2024-08-16 11:59 18K R: dropDuplicates
as.data.frame.html 2024-08-16 11:59 18K R: Download data from a SparkDataFrame into a R data.frame
collect.html 2024-08-16 11:59 18K R: Collects all the elements of a SparkDataFrame and coerces...
insertInto.html 2024-08-16 11:59 18K R: insertInto
union.html 2024-08-16 11:59 18K R: Return a new SparkDataFrame containing the union of rows
withColumn.html 2024-08-16 11:59 18K R: WithColumn
SparkDataFrame.html 2024-08-16 11:59 18K R: S4 class that represents a SparkDataFrame
coltypes.html 2024-08-16 11:59 18K R: coltypes
mutate.html 2024-08-16 11:59 18K R: Mutate
rename.html 2024-08-16 11:59 18K R: rename
with.html 2024-08-16 11:59 18K R: Evaluate a R expression in an environment constructed from a...
dapplyCollect.html 2024-08-16 11:59 18K R: dapplyCollect
repartition.html 2024-08-16 11:59 18K R: Repartition
histogram.html 2024-08-16 11:59 18K R: Compute histogram statistics for given column
join.html 2024-08-16 11:59 18K R: Join
attach.html 2024-08-16 11:59 18K R: Attach SparkDataFrame to R search path
select.html 2024-08-16 11:59 18K R: Select
saveAsTable.html 2024-08-16 11:59 18K R: Save the contents of the SparkDataFrame to a data source as a...
filter.html 2024-08-16 11:59 18K R: Filter
dapply.html 2024-08-16 11:59 19K R: dapply
write.jdbc.html 2024-08-16 11:59 19K R: Save the content of SparkDataFrame to an external database...
write.df.html 2024-08-16 11:59 19K R: Save the contents of SparkDataFrame to a data source.
00frame_toc.html 2024-08-16 11:59 19K R Documentation of SparkR
arrange.html 2024-08-16 11:59 19K R: Arrange
nafunctions.html 2024-08-16 11:59 19K R: A set of SparkDataFrame functions working with NA values
subset.html 2024-08-16 11:59 19K R: Subset
merge.html 2024-08-16 11:59 19K R: Merges two data frames
gapplyCollect.html 2024-08-16 11:59 20K R: gapplyCollect
gapply.html 2024-08-16 11:59 20K R: gapply
nrow.html 2024-08-16 11:59 21K R: Returns the number of rows in a SparkDataFrame
summarize.html 2024-08-16 11:59 21K R: Summarize data across columns
first.html 2024-08-16 11:59 22K R: Return the first row of a SparkDataFrame
00Index.html 2024-08-16 11:59 64K R: R Frontend for Apache Spark
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