spark-instrumented-optimizer/R/pkg/NAMESPACE
felixcheung 1a8e0468a1 [SPARK-11468] [SPARKR] add stddev/variance agg functions for Column
Checked names, none of them should conflict with anything in base

shivaram davies rxin

Author: felixcheung <felixcheung_m@hotmail.com>

Closes #9489 from felixcheung/rstddev.
2015-11-10 22:45:17 -08:00

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# Imports from base R
importFrom(methods, setGeneric, setMethod, setOldClass)
# Disable native libraries till we figure out how to package it
# See SPARKR-7839
#useDynLib(SparkR, stringHashCode)
# S3 methods exported
export("sparkR.init")
export("sparkR.stop")
export("print.jobj")
# MLlib integration
exportMethods("glm",
"predict",
"summary")
# Job group lifecycle management methods
export("setJobGroup",
"clearJobGroup",
"cancelJobGroup")
exportClasses("DataFrame")
exportMethods("arrange",
"as.data.frame",
"attach",
"cache",
"collect",
"coltypes",
"columns",
"count",
"cov",
"corr",
"crosstab",
"describe",
"dim",
"distinct",
"dropna",
"dtypes",
"except",
"explain",
"fillna",
"filter",
"first",
"freqItems",
"group_by",
"groupBy",
"head",
"insertInto",
"intersect",
"isLocal",
"join",
"limit",
"merge",
"mutate",
"na.omit",
"names",
"ncol",
"nrow",
"orderBy",
"persist",
"printSchema",
"rbind",
"registerTempTable",
"rename",
"repartition",
"sample",
"sample_frac",
"sampleBy",
"saveAsParquetFile",
"saveAsTable",
"saveDF",
"schema",
"select",
"selectExpr",
"show",
"showDF",
"subset",
"summarize",
"summary",
"take",
"transform",
"unionAll",
"unique",
"unpersist",
"where",
"with",
"withColumn",
"withColumnRenamed",
"write.df")
exportClasses("Column")
exportMethods("%in%",
"abs",
"acos",
"add_months",
"alias",
"approxCountDistinct",
"asc",
"ascii",
"asin",
"atan",
"atan2",
"avg",
"base64",
"between",
"bin",
"bitwiseNOT",
"cast",
"cbrt",
"ceil",
"ceiling",
"column",
"concat",
"concat_ws",
"contains",
"conv",
"cos",
"cosh",
"count",
"countDistinct",
"crc32",
"cumeDist",
"date_add",
"date_format",
"date_sub",
"datediff",
"dayofmonth",
"dayofyear",
"denseRank",
"desc",
"endsWith",
"exp",
"explode",
"expm1",
"expr",
"factorial",
"first",
"floor",
"format_number",
"format_string",
"from_unixtime",
"from_utc_timestamp",
"getField",
"getItem",
"greatest",
"hex",
"hour",
"hypot",
"ifelse",
"initcap",
"instr",
"isNaN",
"isNotNull",
"isNull",
"kurtosis",
"lag",
"last",
"last_day",
"lead",
"least",
"length",
"levenshtein",
"like",
"lit",
"locate",
"log",
"log10",
"log1p",
"log2",
"lower",
"lpad",
"ltrim",
"max",
"md5",
"mean",
"min",
"minute",
"month",
"months_between",
"n",
"n_distinct",
"nanvl",
"negate",
"next_day",
"ntile",
"otherwise",
"percentRank",
"pmod",
"quarter",
"rand",
"randn",
"rank",
"regexp_extract",
"regexp_replace",
"reverse",
"rint",
"rlike",
"round",
"rowNumber",
"rpad",
"rtrim",
"second",
"sha1",
"sha2",
"shiftLeft",
"shiftRight",
"shiftRightUnsigned",
"sd",
"sign",
"signum",
"sin",
"sinh",
"size",
"skewness",
"soundex",
"stddev",
"stddev_pop",
"stddev_samp",
"sqrt",
"startsWith",
"substr",
"substring_index",
"sum",
"sumDistinct",
"tan",
"tanh",
"toDegrees",
"toRadians",
"to_date",
"to_utc_timestamp",
"translate",
"trim",
"unbase64",
"unhex",
"unix_timestamp",
"upper",
"var",
"variance",
"var_pop",
"var_samp",
"weekofyear",
"when",
"year")
exportClasses("GroupedData")
exportMethods("agg")
export("sparkRSQL.init",
"sparkRHive.init")
export("as.DataFrame",
"cacheTable",
"clearCache",
"createDataFrame",
"createExternalTable",
"dropTempTable",
"jsonFile",
"loadDF",
"parquetFile",
"read.df",
"sql",
"table",
"tableNames",
"tables",
"uncacheTable")
export("structField",
"structField.jobj",
"structField.character",
"print.structField",
"structType",
"structType.jobj",
"structType.structField",
"print.structType")