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[40/51] [partial] spark-website git commit: Add docs for 2.0.2.
http://git-wip-us.apache.org/repos/asf/spark-website/blob/0bd36316/site/docs/2.0.2/api/R/gapply.html
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+<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
+<html><head><title>R: gapply</title>
+<meta http-equiv="Content-Type" content="text/html; charset=utf-8">
+<link rel="stylesheet" type="text/css" href="R.css">
+
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+<script>hljs.initHighlightingOnLoad();</script>
+</head><body>
+
+<table width="100%" summary="page for gapply {SparkR}"><tr><td>gapply {SparkR}</td><td align="right">R Documentation</td></tr></table>
+
+<h2>gapply</h2>
+
+<h3>Description</h3>
+
+<p>Groups the SparkDataFrame using the specified columns and applies the R function to each
+group.
+</p>
+<p>gapply
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+## S4 method for signature 'SparkDataFrame'
+gapply(x, cols, func, schema)
+
+gapply(x, ...)
+
+## S4 method for signature 'GroupedData'
+gapply(x, func, schema)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>x</code></td>
+<td>
+<p>a SparkDataFrame or GroupedData.</p>
+</td></tr>
+<tr valign="top"><td><code>cols</code></td>
+<td>
+<p>grouping columns.</p>
+</td></tr>
+<tr valign="top"><td><code>func</code></td>
+<td>
+<p>a function to be applied to each group partition specified by grouping
+column of the SparkDataFrame. The function <code>func</code> takes as argument
+a key - grouping columns and a data frame - a local R data.frame.
+The output of <code>func</code> is a local R data.frame.</p>
+</td></tr>
+<tr valign="top"><td><code>schema</code></td>
+<td>
+<p>the schema of the resulting SparkDataFrame after the function is applied.
+The schema must match to output of <code>func</code>. It has to be defined for each
+output column with preferred output column name and corresponding data type.</p>
+</td></tr>
+<tr valign="top"><td><code>...</code></td>
+<td>
+<p>additional argument(s) passed to the method.</p>
+</td></tr>
+</table>
+
+
+<h3>Value</h3>
+
+<p>A SparkDataFrame.
+</p>
+
+
+<h3>Note</h3>
+
+<p>gapply(SparkDataFrame) since 2.0.0
+</p>
+<p>gapply(GroupedData) since 2.0.0
+</p>
+
+
+<h3>See Also</h3>
+
+<p><a href="gapplyCollect.html">gapplyCollect</a>
+</p>
+<p>Other SparkDataFrame functions: <code><a href="select.html">$</a></code>,
+<code><a href="select.html">$,SparkDataFrame-method</a></code>, <code><a href="select.html">$<-</a></code>,
+<code><a href="select.html">$<-,SparkDataFrame-method</a></code>,
+<code><a href="select.html">select</a></code>, <code><a href="select.html">select</a></code>,
+<code><a href="select.html">select,SparkDataFrame,Column-method</a></code>,
+<code><a href="select.html">select,SparkDataFrame,character-method</a></code>,
+<code><a href="select.html">select,SparkDataFrame,list-method</a></code>;
+<code><a href="SparkDataFrame.html">SparkDataFrame-class</a></code>; <code><a href="subset.html">[</a></code>,
+<code><a href="subset.html">[,SparkDataFrame-method</a></code>, <code><a href="subset.html">[[</a></code>,
+<code><a href="subset.html">[[,SparkDataFrame,numericOrcharacter-method</a></code>,
+<code><a href="subset.html">subset</a></code>, <code><a href="subset.html">subset</a></code>,
+<code><a href="subset.html">subset,SparkDataFrame-method</a></code>;
+<code><a href="summarize.html">agg</a></code>, <code><a href="summarize.html">agg</a></code>, <code><a href="summarize.html">agg</a></code>,
+<code><a href="summarize.html">agg,GroupedData-method</a></code>,
+<code><a href="summarize.html">agg,SparkDataFrame-method</a></code>,
+<code><a href="summarize.html">summarize</a></code>, <code><a href="summarize.html">summarize</a></code>,
+<code><a href="summarize.html">summarize</a></code>,
+<code><a href="summarize.html">summarize,GroupedData-method</a></code>,
+<code><a href="summarize.html">summarize,SparkDataFrame-method</a></code>;
+<code><a href="arrange.html">arrange</a></code>, <code><a href="arrange.html">arrange</a></code>,
+<code><a href="arrange.html">arrange</a></code>,
+<code><a href="arrange.html">arrange,SparkDataFrame,Column-method</a></code>,
+<code><a href="arrange.html">arrange,SparkDataFrame,character-method</a></code>,
+<code><a href="arrange.html">orderBy,SparkDataFrame,characterOrColumn-method</a></code>;
+<code><a href="as.data.frame.html">as.data.frame</a></code>,
+<code><a href="as.data.frame.html">as.data.frame,SparkDataFrame-method</a></code>;
+<code><a href="attach.html">attach</a></code>,
+<code><a href="attach.html">attach,SparkDataFrame-method</a></code>;
+<code><a href="cache.html">cache</a></code>, <code><a href="cache.html">cache</a></code>,
+<code><a href="cache.html">cache,SparkDataFrame-method</a></code>;
+<code><a href="collect.html">collect</a></code>, <code><a href="collect.html">collect</a></code>,
+<code><a href="collect.html">collect,SparkDataFrame-method</a></code>;
+<code><a href="columns.html">colnames</a></code>, <code><a href="columns.html">colnames</a></code>,
+<code><a href="columns.html">colnames,SparkDataFrame-method</a></code>,
+<code><a href="columns.html">colnames<-</a></code>, <code><a href="columns.html">colnames<-</a></code>,
+<code><a href="columns.html">colnames<-,SparkDataFrame-method</a></code>,
+<code><a href="columns.html">columns</a></code>, <code><a href="columns.html">columns</a></code>,
+<code><a href="columns.html">columns,SparkDataFrame-method</a></code>,
+<code><a href="columns.html">names</a></code>,
+<code><a href="columns.html">names,SparkDataFrame-method</a></code>,
+<code><a href="columns.html">names<-</a></code>,
+<code><a href="columns.html">names<-,SparkDataFrame-method</a></code>;
+<code><a href="coltypes.html">coltypes</a></code>, <code><a href="coltypes.html">coltypes</a></code>,
+<code><a href="coltypes.html">coltypes,SparkDataFrame-method</a></code>,
+<code><a href="coltypes.html">coltypes<-</a></code>, <code><a href="coltypes.html">coltypes<-</a></code>,
+<code><a href="coltypes.html">coltypes<-,SparkDataFrame,character-method</a></code>;
+<code><a href="nrow.html">count,SparkDataFrame-method</a></code>,
+<code><a href="nrow.html">nrow</a></code>, <code><a href="nrow.html">nrow</a></code>,
+<code><a href="nrow.html">nrow,SparkDataFrame-method</a></code>;
+<code><a href="createOrReplaceTempView.html">createOrReplaceTempView</a></code>,
+<code><a href="createOrReplaceTempView.html">createOrReplaceTempView</a></code>,
+<code><a href="createOrReplaceTempView.html">createOrReplaceTempView,SparkDataFrame,character-method</a></code>;
+<code><a href="dapplyCollect.html">dapplyCollect</a></code>, <code><a href="dapplyCollect.html">dapplyCollect</a></code>,
+<code><a href="dapplyCollect.html">dapplyCollect,SparkDataFrame,function-method</a></code>;
+<code><a href="dapply.html">dapply</a></code>, <code><a href="dapply.html">dapply</a></code>,
+<code><a href="dapply.html">dapply,SparkDataFrame,function,structType-method</a></code>;
+<code><a href="summary.html">describe</a></code>, <code><a href="summary.html">describe</a></code>,
+<code><a href="summary.html">describe</a></code>,
+<code><a href="summary.html">describe,SparkDataFrame,ANY-method</a></code>,
+<code><a href="summary.html">describe,SparkDataFrame,character-method</a></code>,
+<code><a href="summary.html">describe,SparkDataFrame-method</a></code>,
+<code><a href="summary.html">summary</a></code>, <code><a href="summary.html">summary</a></code>,
+<code><a href="summary.html">summary,SparkDataFrame-method</a></code>;
+<code><a href="dim.html">dim</a></code>,
+<code><a href="dim.html">dim,SparkDataFrame-method</a></code>;
+<code><a href="distinct.html">distinct</a></code>, <code><a href="distinct.html">distinct</a></code>,
+<code><a href="distinct.html">distinct,SparkDataFrame-method</a></code>,
+<code><a href="distinct.html">unique</a></code>,
+<code><a href="distinct.html">unique,SparkDataFrame-method</a></code>;
+<code><a href="dropDuplicates.html">dropDuplicates</a></code>,
+<code><a href="dropDuplicates.html">dropDuplicates</a></code>,
+<code><a href="dropDuplicates.html">dropDuplicates,SparkDataFrame-method</a></code>;
+<code><a href="nafunctions.html">dropna</a></code>, <code><a href="nafunctions.html">dropna</a></code>,
+<code><a href="nafunctions.html">dropna,SparkDataFrame-method</a></code>,
+<code><a href="nafunctions.html">fillna</a></code>, <code><a href="nafunctions.html">fillna</a></code>,
+<code><a href="nafunctions.html">fillna,SparkDataFrame-method</a></code>,
+<code><a href="nafunctions.html">na.omit</a></code>, <code><a href="nafunctions.html">na.omit</a></code>,
+<code><a href="nafunctions.html">na.omit,SparkDataFrame-method</a></code>;
+<code><a href="drop.html">drop</a></code>, <code><a href="drop.html">drop</a></code>,
+<code><a href="drop.html">drop</a></code>, <code><a href="drop.html">drop,ANY-method</a></code>,
+<code><a href="drop.html">drop,SparkDataFrame-method</a></code>;
+<code><a href="dtypes.html">dtypes</a></code>, <code><a href="dtypes.html">dtypes</a></code>,
+<code><a href="dtypes.html">dtypes,SparkDataFrame-method</a></code>;
+<code><a href="except.html">except</a></code>, <code><a href="except.html">except</a></code>,
+<code><a href="except.html">except,SparkDataFrame,SparkDataFrame-method</a></code>;
+<code><a href="explain.html">explain</a></code>, <code><a href="explain.html">explain</a></code>,
+<code><a href="explain.html">explain,SparkDataFrame-method</a></code>;
+<code><a href="filter.html">filter</a></code>, <code><a href="filter.html">filter</a></code>,
+<code><a href="filter.html">filter,SparkDataFrame,characterOrColumn-method</a></code>,
+<code><a href="filter.html">where</a></code>, <code><a href="filter.html">where</a></code>,
+<code><a href="filter.html">where,SparkDataFrame,characterOrColumn-method</a></code>;
+<code><a href="first.html">first</a></code>, <code><a href="first.html">first</a></code>,
+<code><a href="first.html">first</a></code>,
+<code><a href="first.html">first,SparkDataFrame-method</a></code>,
+<code><a href="first.html">first,characterOrColumn-method</a></code>;
+<code><a href="gapplyCollect.html">gapplyCollect</a></code>, <code><a href="gapplyCollect.html">gapplyCollect</a></code>,
+<code><a href="gapplyCollect.html">gapplyCollect</a></code>,
+<code><a href="gapplyCollect.html">gapplyCollect,GroupedData-method</a></code>,
+<code><a href="gapplyCollect.html">gapplyCollect,SparkDataFrame-method</a></code>;
+<code><a href="groupBy.html">groupBy</a></code>, <code><a href="groupBy.html">groupBy</a></code>,
+<code><a href="groupBy.html">groupBy,SparkDataFrame-method</a></code>,
+<code><a href="groupBy.html">group_by</a></code>, <code><a href="groupBy.html">group_by</a></code>,
+<code><a href="groupBy.html">group_by,SparkDataFrame-method</a></code>;
+<code><a href="head.html">head</a></code>,
+<code><a href="head.html">head,SparkDataFrame-method</a></code>;
+<code><a href="histogram.html">histogram</a></code>,
+<code><a href="histogram.html">histogram,SparkDataFrame,characterOrColumn-method</a></code>;
+<code><a href="insertInto.html">insertInto</a></code>, <code><a href="insertInto.html">insertInto</a></code>,
+<code><a href="insertInto.html">insertInto,SparkDataFrame,character-method</a></code>;
+<code><a href="intersect.html">intersect</a></code>, <code><a href="intersect.html">intersect</a></code>,
+<code><a href="intersect.html">intersect,SparkDataFrame,SparkDataFrame-method</a></code>;
+<code><a href="isLocal.html">isLocal</a></code>, <code><a href="isLocal.html">isLocal</a></code>,
+<code><a href="isLocal.html">isLocal,SparkDataFrame-method</a></code>;
+<code><a href="join.html">join</a></code>,
+<code><a href="join.html">join,SparkDataFrame,SparkDataFrame-method</a></code>;
+<code><a href="limit.html">limit</a></code>, <code><a href="limit.html">limit</a></code>,
+<code><a href="limit.html">limit,SparkDataFrame,numeric-method</a></code>;
+<code><a href="merge.html">merge</a></code>, <code><a href="merge.html">merge</a></code>,
+<code><a href="merge.html">merge,SparkDataFrame,SparkDataFrame-method</a></code>;
+<code><a href="mutate.html">mutate</a></code>, <code><a href="mutate.html">mutate</a></code>,
+<code><a href="mutate.html">mutate,SparkDataFrame-method</a></code>,
+<code><a href="mutate.html">transform</a></code>, <code><a href="mutate.html">transform</a></code>,
+<code><a href="mutate.html">transform,SparkDataFrame-method</a></code>;
+<code><a href="ncol.html">ncol</a></code>,
+<code><a href="ncol.html">ncol,SparkDataFrame-method</a></code>;
+<code><a href="persist.html">persist</a></code>, <code><a href="persist.html">persist</a></code>,
+<code><a href="persist.html">persist,SparkDataFrame,character-method</a></code>;
+<code><a href="printSchema.html">printSchema</a></code>, <code><a href="printSchema.html">printSchema</a></code>,
+<code><a href="printSchema.html">printSchema,SparkDataFrame-method</a></code>;
+<code><a href="randomSplit.html">randomSplit</a></code>, <code><a href="randomSplit.html">randomSplit</a></code>,
+<code><a href="randomSplit.html">randomSplit,SparkDataFrame,numeric-method</a></code>;
+<code><a href="rbind.html">rbind</a></code>, <code><a href="rbind.html">rbind</a></code>,
+<code><a href="rbind.html">rbind,SparkDataFrame-method</a></code>;
+<code><a href="registerTempTable-deprecated.html">registerTempTable</a></code>,
+<code><a href="registerTempTable-deprecated.html">registerTempTable</a></code>,
+<code><a href="registerTempTable-deprecated.html">registerTempTable,SparkDataFrame,character-method</a></code>;
+<code><a href="rename.html">rename</a></code>, <code><a href="rename.html">rename</a></code>,
+<code><a href="rename.html">rename,SparkDataFrame-method</a></code>,
+<code><a href="rename.html">withColumnRenamed</a></code>,
+<code><a href="rename.html">withColumnRenamed</a></code>,
+<code><a href="rename.html">withColumnRenamed,SparkDataFrame,character,character-method</a></code>;
+<code><a href="repartition.html">repartition</a></code>, <code><a href="repartition.html">repartition</a></code>,
+<code><a href="repartition.html">repartition,SparkDataFrame-method</a></code>;
+<code><a href="sample.html">sample</a></code>, <code><a href="sample.html">sample</a></code>,
+<code><a href="sample.html">sample,SparkDataFrame,logical,numeric-method</a></code>,
+<code><a href="sample.html">sample_frac</a></code>, <code><a href="sample.html">sample_frac</a></code>,
+<code><a href="sample.html">sample_frac,SparkDataFrame,logical,numeric-method</a></code>;
+<code><a href="write.parquet.html">saveAsParquetFile</a></code>,
+<code><a href="write.parquet.html">saveAsParquetFile</a></code>,
+<code><a href="write.parquet.html">saveAsParquetFile,SparkDataFrame,character-method</a></code>,
+<code><a href="write.parquet.html">write.parquet</a></code>, <code><a href="write.parquet.html">write.parquet</a></code>,
+<code><a href="write.parquet.html">write.parquet,SparkDataFrame,character-method</a></code>;
+<code><a href="saveAsTable.html">saveAsTable</a></code>, <code><a href="saveAsTable.html">saveAsTable</a></code>,
+<code><a href="saveAsTable.html">saveAsTable,SparkDataFrame,character-method</a></code>;
+<code><a href="write.df.html">saveDF</a></code>, <code><a href="write.df.html">saveDF</a></code>,
+<code><a href="write.df.html">saveDF,SparkDataFrame,character-method</a></code>,
+<code><a href="write.df.html">write.df</a></code>, <code><a href="write.df.html">write.df</a></code>,
+<code><a href="write.df.html">write.df</a></code>,
+<code><a href="write.df.html">write.df,SparkDataFrame,character-method</a></code>;
+<code><a href="schema.html">schema</a></code>, <code><a href="schema.html">schema</a></code>,
+<code><a href="schema.html">schema,SparkDataFrame-method</a></code>;
+<code><a href="selectExpr.html">selectExpr</a></code>, <code><a href="selectExpr.html">selectExpr</a></code>,
+<code><a href="selectExpr.html">selectExpr,SparkDataFrame,character-method</a></code>;
+<code><a href="showDF.html">showDF</a></code>, <code><a href="showDF.html">showDF</a></code>,
+<code><a href="showDF.html">showDF,SparkDataFrame-method</a></code>;
+<code><a href="show.html">show</a></code>, <code><a href="show.html">show</a></code>,
+<code><a href="show.html">show,Column-method</a></code>,
+<code><a href="show.html">show,GroupedData-method</a></code>,
+<code><a href="show.html">show,SparkDataFrame-method</a></code>,
+<code><a href="show.html">show,WindowSpec-method</a></code>; <code><a href="str.html">str</a></code>,
+<code><a href="str.html">str,SparkDataFrame-method</a></code>;
+<code><a href="take.html">take</a></code>, <code><a href="take.html">take</a></code>,
+<code><a href="take.html">take,SparkDataFrame,numeric-method</a></code>;
+<code><a href="union.html">union</a></code>, <code><a href="union.html">union</a></code>,
+<code><a href="union.html">union,SparkDataFrame,SparkDataFrame-method</a></code>,
+<code><a href="union.html">unionAll</a></code>, <code><a href="union.html">unionAll</a></code>,
+<code><a href="union.html">unionAll,SparkDataFrame,SparkDataFrame-method</a></code>;
+<code><a href="unpersist-methods.html">unpersist</a></code>, <code><a href="unpersist-methods.html">unpersist</a></code>,
+<code><a href="unpersist-methods.html">unpersist,SparkDataFrame-method</a></code>;
+<code><a href="withColumn.html">withColumn</a></code>, <code><a href="withColumn.html">withColumn</a></code>,
+<code><a href="withColumn.html">withColumn,SparkDataFrame,character,Column-method</a></code>;
+<code><a href="with.html">with</a></code>,
+<code><a href="with.html">with,SparkDataFrame-method</a></code>;
+<code><a href="write.jdbc.html">write.jdbc</a></code>, <code><a href="write.jdbc.html">write.jdbc</a></code>,
+<code><a href="write.jdbc.html">write.jdbc,SparkDataFrame,character,character-method</a></code>;
+<code><a href="write.json.html">write.json</a></code>, <code><a href="write.json.html">write.json</a></code>,
+<code><a href="write.json.html">write.json,SparkDataFrame,character-method</a></code>;
+<code><a href="write.orc.html">write.orc</a></code>, <code><a href="write.orc.html">write.orc</a></code>,
+<code><a href="write.orc.html">write.orc,SparkDataFrame,character-method</a></code>;
+<code><a href="write.text.html">write.text</a></code>, <code><a href="write.text.html">write.text</a></code>,
+<code><a href="write.text.html">write.text,SparkDataFrame,character-method</a></code>
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run:
+##D Computes the arithmetic mean of the second column by grouping
+##D on the first and third columns. Output the grouping values and the average.
+##D
+##D df <- createDataFrame (
+##D list(list(1L, 1, "1", 0.1), list(1L, 2, "1", 0.2), list(3L, 3, "3", 0.3)),
+##D c("a", "b", "c", "d"))
+##D
+##D Here our output contains three columns, the key which is a combination of two
+##D columns with data types integer and string and the mean which is a double.
+##D schema <- structType(structField("a", "integer"), structField("c", "string"),
+##D structField("avg", "double"))
+##D result <- gapply(
+##D df,
+##D c("a", "c"),
+##D function(key, x) {
+##D y <- data.frame(key, mean(x$b), stringsAsFactors = FALSE)
+##D }, schema)
+##D
+##D We can also group the data and afterwards call gapply on GroupedData.
+##D For Example:
+##D gdf <- group_by(df, "a", "c")
+##D result <- gapply(
+##D gdf,
+##D function(key, x) {
+##D y <- data.frame(key, mean(x$b), stringsAsFactors = FALSE)
+##D }, schema)
+##D collect(result)
+##D
+##D Result
+##D ------
+##D a c avg
+##D 3 3 3.0
+##D 1 1 1.5
+##D
+##D Fits linear models on iris dataset by grouping on the 'Species' column and
+##D using 'Sepal_Length' as a target variable, 'Sepal_Width', 'Petal_Length'
+##D and 'Petal_Width' as training features.
+##D
+##D df <- createDataFrame (iris)
+##D schema <- structType(structField("(Intercept)", "double"),
+##D structField("Sepal_Width", "double"),structField("Petal_Length", "double"),
+##D structField("Petal_Width", "double"))
+##D df1 <- gapply(
+##D df,
+##D df$"Species",
+##D function(key, x) {
+##D m <- suppressWarnings(lm(Sepal_Length ~
+##D Sepal_Width + Petal_Length + Petal_Width, x))
+##D data.frame(t(coef(m)))
+##D }, schema)
+##D collect(df1)
+##D
+##D Result
+##D ---------
+##D Model (Intercept) Sepal_Width Petal_Length Petal_Width
+##D 1 0.699883 0.3303370 0.9455356 -0.1697527
+##D 2 1.895540 0.3868576 0.9083370 -0.6792238
+##D 3 2.351890 0.6548350 0.2375602 0.2521257
+##D
+## End(Not run)
+</code></pre>
+
+
+<hr><div align="center">[Package <em>SparkR</em> version 2.0.2 <a href="00Index.html">Index</a>]</div>
+</body></html>
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+<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
+<html><head><title>R: gapplyCollect</title>
+<meta http-equiv="Content-Type" content="text/html; charset=utf-8">
+<link rel="stylesheet" type="text/css" href="R.css">
+
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+</head><body>
+
+<table width="100%" summary="page for gapplyCollect {SparkR}"><tr><td>gapplyCollect {SparkR}</td><td align="right">R Documentation</td></tr></table>
+
+<h2>gapplyCollect</h2>
+
+<h3>Description</h3>
+
+<p>Groups the SparkDataFrame using the specified columns, applies the R function to each
+group and collects the result back to R as data.frame.
+</p>
+<p>gapplyCollect
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+## S4 method for signature 'SparkDataFrame'
+gapplyCollect(x, cols, func)
+
+gapplyCollect(x, ...)
+
+## S4 method for signature 'GroupedData'
+gapplyCollect(x, func)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>x</code></td>
+<td>
+<p>a SparkDataFrame or GroupedData.</p>
+</td></tr>
+<tr valign="top"><td><code>cols</code></td>
+<td>
+<p>grouping columns.</p>
+</td></tr>
+<tr valign="top"><td><code>func</code></td>
+<td>
+<p>a function to be applied to each group partition specified by grouping
+column of the SparkDataFrame. The function <code>func</code> takes as argument
+a key - grouping columns and a data frame - a local R data.frame.
+The output of <code>func</code> is a local R data.frame.</p>
+</td></tr>
+<tr valign="top"><td><code>...</code></td>
+<td>
+<p>additional argument(s) passed to the method.</p>
+</td></tr>
+</table>
+
+
+<h3>Value</h3>
+
+<p>A data.frame.
+</p>
+
+
+<h3>Note</h3>
+
+<p>gapplyCollect(SparkDataFrame) since 2.0.0
+</p>
+<p>gapplyCollect(GroupedData) since 2.0.0
+</p>
+
+
+<h3>See Also</h3>
+
+<p><a href="gapply.html">gapply</a>
+</p>
+<p>Other SparkDataFrame functions: <code><a href="select.html">$</a></code>,
+<code><a href="select.html">$,SparkDataFrame-method</a></code>, <code><a href="select.html">$<-</a></code>,
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+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run:
+##D Computes the arithmetic mean of the second column by grouping
+##D on the first and third columns. Output the grouping values and the average.
+##D
+##D df <- createDataFrame (
+##D list(list(1L, 1, "1", 0.1), list(1L, 2, "1", 0.2), list(3L, 3, "3", 0.3)),
+##D c("a", "b", "c", "d"))
+##D
+##D result <- gapplyCollect(
+##D df,
+##D c("a", "c"),
+##D function(key, x) {
+##D y <- data.frame(key, mean(x$b), stringsAsFactors = FALSE)
+##D colnames(y) <- c("key_a", "key_c", "mean_b")
+##D y
+##D })
+##D
+##D We can also group the data and afterwards call gapply on GroupedData.
+##D For Example:
+##D gdf <- group_by(df, "a", "c")
+##D result <- gapplyCollect(
+##D gdf,
+##D function(key, x) {
+##D y <- data.frame(key, mean(x$b), stringsAsFactors = FALSE)
+##D colnames(y) <- c("key_a", "key_c", "mean_b")
+##D y
+##D })
+##D
+##D Result
+##D ------
+##D key_a key_c mean_b
+##D 3 3 3.0
+##D 1 1 1.5
+##D
+##D Fits linear models on iris dataset by grouping on the 'Species' column and
+##D using 'Sepal_Length' as a target variable, 'Sepal_Width', 'Petal_Length'
+##D and 'Petal_Width' as training features.
+##D
+##D df <- createDataFrame (iris)
+##D result <- gapplyCollect(
+##D df,
+##D df$"Species",
+##D function(key, x) {
+##D m <- suppressWarnings(lm(Sepal_Length ~
+##D Sepal_Width + Petal_Length + Petal_Width, x))
+##D data.frame(t(coef(m)))
+##D })
+##D
+##D Result
+##D ---------
+##D Model X.Intercept. Sepal_Width Petal_Length Petal_Width
+##D 1 0.699883 0.3303370 0.9455356 -0.1697527
+##D 2 1.895540 0.3868576 0.9083370 -0.6792238
+##D 3 2.351890 0.6548350 0.2375602 0.2521257
+##D
+## End(Not run)
+</code></pre>
+
+
+<hr><div align="center">[Package <em>SparkR</em> version 2.0.2 <a href="00Index.html">Index</a>]</div>
+</body></html>
http://git-wip-us.apache.org/repos/asf/spark-website/blob/0bd36316/site/docs/2.0.2/api/R/generateAliasesForIntersectedCols.html
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+<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
+<html><head><title>R: Creates a list of columns by replacing the intersected ones...</title>
+<meta http-equiv="Content-Type" content="text/html; charset=utf-8">
+<link rel="stylesheet" type="text/css" href="R.css">
+</head><body>
+
+<table width="100%" summary="page for generateAliasesForIntersectedCols {SparkR}"><tr><td>generateAliasesForIntersectedCols {SparkR}</td><td align="right">R Documentation</td></tr></table>
+
+<h2>Creates a list of columns by replacing the intersected ones with aliases</h2>
+
+<h3>Description</h3>
+
+<p>Creates a list of columns by replacing the intersected ones with aliases.
+The name of the alias column is formed by concatanating the original column name and a suffix.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+generateAliasesForIntersectedCols(x, intersectedColNames, suffix)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>x</code></td>
+<td>
+<p>a SparkDataFrame</p>
+</td></tr>
+<tr valign="top"><td><code>intersectedColNames</code></td>
+<td>
+<p>a list of intersected column names of the SparkDataFrame</p>
+</td></tr>
+<tr valign="top"><td><code>suffix</code></td>
+<td>
+<p>a suffix for the column name</p>
+</td></tr>
+</table>
+
+
+<h3>Value</h3>
+
+<p>list of columns
+</p>
+
+
+<h3>Note</h3>
+
+<p>generateAliasesForIntersectedCols since 1.6.0
+</p>
+
+<hr><div align="center">[Package <em>SparkR</em> version 2.0.2 <a href="00Index.html">Index</a>]</div>
+</body></html>
http://git-wip-us.apache.org/repos/asf/spark-website/blob/0bd36316/site/docs/2.0.2/api/R/glm.html
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+<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
+<html><head><title>R: Generalized Linear Models (R-compliant)</title>
+<meta http-equiv="Content-Type" content="text/html; charset=utf-8">
+<link rel="stylesheet" type="text/css" href="R.css">
+
+<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.3/styles/github.min.css">
+<script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.3/highlight.min.js"></script>
+<script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.3/languages/r.min.js"></script>
+<script>hljs.initHighlightingOnLoad();</script>
+</head><body>
+
+<table width="100%" summary="page for glm {SparkR}"><tr><td>glm {SparkR}</td><td align="right">R Documentation</td></tr></table>
+
+<h2>Generalized Linear Models (R-compliant)</h2>
+
+<h3>Description</h3>
+
+<p>Fits a generalized linear model, similarly to R's glm().
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+glm(formula, family = gaussian, data, weights, subset, na.action,
+ start = NULL, etastart, mustart, offset, control = list(...),
+ model = TRUE, method = "glm.fit", x = FALSE, y = TRUE,
+ contrasts = NULL, ...)
+
+## S4 method for signature 'formula,ANY,SparkDataFrame'
+glm(formula, family = gaussian, data,
+ epsilon = 1e-06, maxit = 25)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>formula</code></td>
+<td>
+<p>a symbolic description of the model to be fitted. Currently only a few formula
+operators are supported, including '~', '.', ':', '+', and '-'.</p>
+</td></tr>
+<tr valign="top"><td><code>family</code></td>
+<td>
+<p>a description of the error distribution and link function to be used in the model.
+This can be a character string naming a family function, a family function or
+the result of a call to a family function. Refer R family at
+<a href="https://stat.ethz.ch/R-manual/R-devel/library/stats/html/family.html">https://stat.ethz.ch/R-manual/R-devel/library/stats/html/family.html</a>.</p>
+</td></tr>
+<tr valign="top"><td><code>data</code></td>
+<td>
+<p>a SparkDataFrame or R's glm data for training.</p>
+</td></tr>
+<tr valign="top"><td><code>weights</code></td>
+<td>
+<p>an optional vector of ‘prior weights’ to be used
+in the fitting process. Should be <code>NULL</code> or a numeric vector.</p>
+</td></tr>
+<tr valign="top"><td><code>subset</code></td>
+<td>
+<p>an optional vector specifying a subset of observations
+to be used in the fitting process.</p>
+</td></tr>
+<tr valign="top"><td><code>na.action</code></td>
+<td>
+<p>a function which indicates what should happen
+when the data contain <code>NA</code>s. The default is set by
+the <code>na.action</code> setting of <code><a href="../../base/html/options.html">options</a></code>, and is
+<code><a href="../../stats/html/na.fail.html">na.fail</a></code> if that is unset. The ‘factory-fresh’
+default is <code><a href="nafunctions.html">na.omit</a></code>. Another possible value is
+<code>NULL</code>, no action. Value <code><a href="../../stats/html/na.fail.html">na.exclude</a></code> can be useful.</p>
+</td></tr>
+<tr valign="top"><td><code>start</code></td>
+<td>
+<p>starting values for the parameters in the linear predictor.</p>
+</td></tr>
+<tr valign="top"><td><code>etastart</code></td>
+<td>
+<p>starting values for the linear predictor.</p>
+</td></tr>
+<tr valign="top"><td><code>mustart</code></td>
+<td>
+<p>starting values for the vector of means.</p>
+</td></tr>
+<tr valign="top"><td><code>offset</code></td>
+<td>
+<p>this can be used to specify an <EM>a priori</EM> known
+component to be included in the linear predictor during fitting.
+This should be <code>NULL</code> or a numeric vector of length equal to
+the number of cases. One or more <code><a href="../../stats/html/offset.html">offset</a></code> terms can be
+included in the formula instead or as well, and if more than one is
+specified their sum is used. See <code><a href="../../stats/html/model.extract.html">model.offset</a></code>.</p>
+</td></tr>
+<tr valign="top"><td><code>control</code></td>
+<td>
+<p>a list of parameters for controlling the fitting
+process. For <code>glm.fit</code> this is passed to
+<code><a href="../../stats/html/glm.control.html">glm.control</a></code>.</p>
+</td></tr>
+<tr valign="top"><td><code>model</code></td>
+<td>
+<p>a logical value indicating whether <EM>model frame</EM>
+should be included as a component of the returned value.</p>
+</td></tr>
+<tr valign="top"><td><code>method</code></td>
+<td>
+<p>the method to be used in fitting the model. The default
+method <code>"glm.fit"</code> uses iteratively reweighted least squares
+(IWLS): the alternative <code>"model.frame"</code> returns the model frame
+and does no fitting.
+</p>
+<p>User-supplied fitting functions can be supplied either as a function
+or a character string naming a function, with a function which takes
+the same arguments as <code>glm.fit</code>. If specified as a character
+string it is looked up from within the <span class="pkg">stats</span> namespace.
+</p>
+</td></tr>
+<tr valign="top"><td><code>x,y</code></td>
+<td>
+<p>For <code>glm</code>: logical values indicating whether the response vector
+and model matrix used in the fitting process should be returned as
+components of the returned value.</p>
+</td></tr>
+<tr valign="top"><td><code>contrasts</code></td>
+<td>
+<p>an optional list. See the <code>contrasts.arg</code>
+of <code>model.matrix.default</code>.</p>
+</td></tr>
+<tr valign="top"><td><code>...</code></td>
+<td>
+
+<p>For <code>glm</code>: arguments to be used to form the default
+<code>control</code> argument if it is not supplied directly.
+</p>
+<p>For <code>weights</code>: further arguments passed to or from other methods.
+</p>
+</td></tr>
+<tr valign="top"><td><code>epsilon</code></td>
+<td>
+<p>positive convergence tolerance of iterations.</p>
+</td></tr>
+<tr valign="top"><td><code>maxit</code></td>
+<td>
+<p>integer giving the maximal number of IRLS iterations.</p>
+</td></tr>
+</table>
+
+
+<h3>Value</h3>
+
+<p><code>glm</code> returns a fitted generalized linear model.
+</p>
+
+
+<h3>Note</h3>
+
+<p>glm since 1.5.0
+</p>
+
+
+<h3>See Also</h3>
+
+<p><a href="spark.glm.html">spark.glm</a>
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run:
+##D sparkR.session()
+##D data(iris)
+##D df <- createDataFrame(iris)
+##D model <- glm(Sepal_Length ~ Sepal_Width, df, family = "gaussian")
+##D summary(model)
+## End(Not run)
+</code></pre>
+
+
+<hr><div align="center">[Package <em>SparkR</em> version 2.0.2 <a href="00Index.html">Index</a>]</div>
+</body></html>
http://git-wip-us.apache.org/repos/asf/spark-website/blob/0bd36316/site/docs/2.0.2/api/R/greatest.html
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+<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
+<html><head><title>R: greatest</title>
+<meta http-equiv="Content-Type" content="text/html; charset=utf-8">
+<link rel="stylesheet" type="text/css" href="R.css">
+
+<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.3/styles/github.min.css">
+<script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.3/highlight.min.js"></script>
+<script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.3/languages/r.min.js"></script>
+<script>hljs.initHighlightingOnLoad();</script>
+</head><body>
+
+<table width="100%" summary="page for greatest {SparkR}"><tr><td>greatest {SparkR}</td><td align="right">R Documentation</td></tr></table>
+
+<h2>greatest</h2>
+
+<h3>Description</h3>
+
+<p>Returns the greatest value of the list of column names, skipping null values.
+This function takes at least 2 parameters. It will return null if all parameters are null.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+## S4 method for signature 'Column'
+greatest(x, ...)
+
+greatest(x, ...)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>x</code></td>
+<td>
+<p>Column to compute on</p>
+</td></tr>
+<tr valign="top"><td><code>...</code></td>
+<td>
+<p>other columns</p>
+</td></tr>
+</table>
+
+
+<h3>Note</h3>
+
+<p>greatest since 1.5.0
+</p>
+
+
+<h3>See Also</h3>
+
+<p>Other normal_funcs: <code><a href="column.html">Column-class</a></code>,
+<code><a href="column.html">column</a></code>, <code><a href="column.html">column</a></code>,
+<code><a href="column.html">column</a></code>,
+<code><a href="column.html">column,character-method</a></code>,
+<code><a href="column.html">column,jobj-method</a></code>; <code><a href="abs.html">abs</a></code>,
+<code><a href="abs.html">abs,Column-method</a></code>;
+<code><a href="bitwiseNOT.html">bitwiseNOT</a></code>, <code><a href="bitwiseNOT.html">bitwiseNOT</a></code>,
+<code><a href="bitwiseNOT.html">bitwiseNOT,Column-method</a></code>;
+<code><a href="expr.html">expr</a></code>, <code><a href="expr.html">expr</a></code>,
+<code><a href="expr.html">expr,character-method</a></code>;
+<code><a href="ifelse.html">ifelse</a></code>, <code><a href="ifelse.html">ifelse,Column-method</a></code>;
+<code><a href="is.nan.html">is.nan</a></code>, <code><a href="is.nan.html">is.nan,Column-method</a></code>,
+<code><a href="is.nan.html">isnan</a></code>, <code><a href="is.nan.html">isnan</a></code>,
+<code><a href="is.nan.html">isnan,Column-method</a></code>; <code><a href="least.html">least</a></code>,
+<code><a href="least.html">least</a></code>, <code><a href="least.html">least,Column-method</a></code>;
+<code><a href="lit.html">lit</a></code>, <code><a href="lit.html">lit</a></code>,
+<code><a href="lit.html">lit,ANY-method</a></code>; <code><a href="nanvl.html">nanvl</a></code>,
+<code><a href="nanvl.html">nanvl</a></code>, <code><a href="nanvl.html">nanvl,Column-method</a></code>;
+<code><a href="negate.html">negate</a></code>, <code><a href="negate.html">negate</a></code>,
+<code><a href="negate.html">negate,Column-method</a></code>; <code><a href="randn.html">randn</a></code>,
+<code><a href="randn.html">randn</a></code>, <code><a href="randn.html">randn</a></code>,
+<code><a href="randn.html">randn,missing-method</a></code>,
+<code><a href="randn.html">randn,numeric-method</a></code>; <code><a href="rand.html">rand</a></code>,
+<code><a href="rand.html">rand</a></code>, <code><a href="rand.html">rand</a></code>,
+<code><a href="rand.html">rand,missing-method</a></code>,
+<code><a href="rand.html">rand,numeric-method</a></code>; <code><a href="struct.html">struct</a></code>,
+<code><a href="struct.html">struct</a></code>,
+<code><a href="struct.html">struct,characterOrColumn-method</a></code>;
+<code><a href="when.html">when</a></code>, <code><a href="when.html">when</a></code>,
+<code><a href="when.html">when,Column-method</a></code>
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run: greatest(df$c, df$d)
+</code></pre>
+
+
+<hr><div align="center">[Package <em>SparkR</em> version 2.0.2 <a href="00Index.html">Index</a>]</div>
+</body></html>
http://git-wip-us.apache.org/repos/asf/spark-website/blob/0bd36316/site/docs/2.0.2/api/R/groupBy.html
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+<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
+<html><head><title>R: GroupBy</title>
+<meta http-equiv="Content-Type" content="text/html; charset=utf-8">
+<link rel="stylesheet" type="text/css" href="R.css">
+
+<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.3/styles/github.min.css">
+<script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.3/highlight.min.js"></script>
+<script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.3/languages/r.min.js"></script>
+<script>hljs.initHighlightingOnLoad();</script>
+</head><body>
+
+<table width="100%" summary="page for groupBy {SparkR}"><tr><td>groupBy {SparkR}</td><td align="right">R Documentation</td></tr></table>
+
+<h2>GroupBy</h2>
+
+<h3>Description</h3>
+
+<p>Groups the SparkDataFrame using the specified columns, so we can run aggregation on them.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+## S4 method for signature 'SparkDataFrame'
+groupBy(x, ...)
+
+## S4 method for signature 'SparkDataFrame'
+group_by(x, ...)
+
+group_by(x, ...)
+
+groupBy(x, ...)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>x</code></td>
+<td>
+<p>a SparkDataFrame.</p>
+</td></tr>
+<tr valign="top"><td><code>...</code></td>
+<td>
+<p>variable(s) (character names(s) or Column(s)) to group on.</p>
+</td></tr>
+</table>
+
+
+<h3>Value</h3>
+
+<p>A GroupedData.
+</p>
+
+
+<h3>Note</h3>
+
+<p>groupBy since 1.4.0
+</p>
+<p>group_by since 1.4.0
+</p>
+
+
+<h3>See Also</h3>
+
+<p>Other SparkDataFrame functions: <code><a href="select.html">$</a></code>,
+<code><a href="select.html">$,SparkDataFrame-method</a></code>, <code><a href="select.html">$<-</a></code>,
+<code><a href="select.html">$<-,SparkDataFrame-method</a></code>,
+<code><a href="select.html">select</a></code>, <code><a href="select.html">select</a></code>,
+<code><a href="select.html">select,SparkDataFrame,Column-method</a></code>,
+<code><a href="select.html">select,SparkDataFrame,character-method</a></code>,
+<code><a href="select.html">select,SparkDataFrame,list-method</a></code>;
+<code><a href="SparkDataFrame.html">SparkDataFrame-class</a></code>; <code><a href="subset.html">[</a></code>,
+<code><a href="subset.html">[,SparkDataFrame-method</a></code>, <code><a href="subset.html">[[</a></code>,
+<code><a href="subset.html">[[,SparkDataFrame,numericOrcharacter-method</a></code>,
+<code><a href="subset.html">subset</a></code>, <code><a href="subset.html">subset</a></code>,
+<code><a href="subset.html">subset,SparkDataFrame-method</a></code>;
+<code><a href="summarize.html">agg</a></code>, <code><a href="summarize.html">agg</a></code>, <code><a href="summarize.html">agg</a></code>,
+<code><a href="summarize.html">agg,GroupedData-method</a></code>,
+<code><a href="summarize.html">agg,SparkDataFrame-method</a></code>,
+<code><a href="summarize.html">summarize</a></code>, <code><a href="summarize.html">summarize</a></code>,
+<code><a href="summarize.html">summarize</a></code>,
+<code><a href="summarize.html">summarize,GroupedData-method</a></code>,
+<code><a href="summarize.html">summarize,SparkDataFrame-method</a></code>;
+<code><a href="arrange.html">arrange</a></code>, <code><a href="arrange.html">arrange</a></code>,
+<code><a href="arrange.html">arrange</a></code>,
+<code><a href="arrange.html">arrange,SparkDataFrame,Column-method</a></code>,
+<code><a href="arrange.html">arrange,SparkDataFrame,character-method</a></code>,
+<code><a href="arrange.html">orderBy,SparkDataFrame,characterOrColumn-method</a></code>;
+<code><a href="as.data.frame.html">as.data.frame</a></code>,
+<code><a href="as.data.frame.html">as.data.frame,SparkDataFrame-method</a></code>;
+<code><a href="attach.html">attach</a></code>,
+<code><a href="attach.html">attach,SparkDataFrame-method</a></code>;
+<code><a href="cache.html">cache</a></code>, <code><a href="cache.html">cache</a></code>,
+<code><a href="cache.html">cache,SparkDataFrame-method</a></code>;
+<code><a href="collect.html">collect</a></code>, <code><a href="collect.html">collect</a></code>,
+<code><a href="collect.html">collect,SparkDataFrame-method</a></code>;
+<code><a href="columns.html">colnames</a></code>, <code><a href="columns.html">colnames</a></code>,
+<code><a href="columns.html">colnames,SparkDataFrame-method</a></code>,
+<code><a href="columns.html">colnames<-</a></code>, <code><a href="columns.html">colnames<-</a></code>,
+<code><a href="columns.html">colnames<-,SparkDataFrame-method</a></code>,
+<code><a href="columns.html">columns</a></code>, <code><a href="columns.html">columns</a></code>,
+<code><a href="columns.html">columns,SparkDataFrame-method</a></code>,
+<code><a href="columns.html">names</a></code>,
+<code><a href="columns.html">names,SparkDataFrame-method</a></code>,
+<code><a href="columns.html">names<-</a></code>,
+<code><a href="columns.html">names<-,SparkDataFrame-method</a></code>;
+<code><a href="coltypes.html">coltypes</a></code>, <code><a href="coltypes.html">coltypes</a></code>,
+<code><a href="coltypes.html">coltypes,SparkDataFrame-method</a></code>,
+<code><a href="coltypes.html">coltypes<-</a></code>, <code><a href="coltypes.html">coltypes<-</a></code>,
+<code><a href="coltypes.html">coltypes<-,SparkDataFrame,character-method</a></code>;
+<code><a href="nrow.html">count,SparkDataFrame-method</a></code>,
+<code><a href="nrow.html">nrow</a></code>, <code><a href="nrow.html">nrow</a></code>,
+<code><a href="nrow.html">nrow,SparkDataFrame-method</a></code>;
+<code><a href="createOrReplaceTempView.html">createOrReplaceTempView</a></code>,
+<code><a href="createOrReplaceTempView.html">createOrReplaceTempView</a></code>,
+<code><a href="createOrReplaceTempView.html">createOrReplaceTempView,SparkDataFrame,character-method</a></code>;
+<code><a href="dapplyCollect.html">dapplyCollect</a></code>, <code><a href="dapplyCollect.html">dapplyCollect</a></code>,
+<code><a href="dapplyCollect.html">dapplyCollect,SparkDataFrame,function-method</a></code>;
+<code><a href="dapply.html">dapply</a></code>, <code><a href="dapply.html">dapply</a></code>,
+<code><a href="dapply.html">dapply,SparkDataFrame,function,structType-method</a></code>;
+<code><a href="summary.html">describe</a></code>, <code><a href="summary.html">describe</a></code>,
+<code><a href="summary.html">describe</a></code>,
+<code><a href="summary.html">describe,SparkDataFrame,ANY-method</a></code>,
+<code><a href="summary.html">describe,SparkDataFrame,character-method</a></code>,
+<code><a href="summary.html">describe,SparkDataFrame-method</a></code>,
+<code><a href="summary.html">summary</a></code>, <code><a href="summary.html">summary</a></code>,
+<code><a href="summary.html">summary,SparkDataFrame-method</a></code>;
+<code><a href="dim.html">dim</a></code>,
+<code><a href="dim.html">dim,SparkDataFrame-method</a></code>;
+<code><a href="distinct.html">distinct</a></code>, <code><a href="distinct.html">distinct</a></code>,
+<code><a href="distinct.html">distinct,SparkDataFrame-method</a></code>,
+<code><a href="distinct.html">unique</a></code>,
+<code><a href="distinct.html">unique,SparkDataFrame-method</a></code>;
+<code><a href="dropDuplicates.html">dropDuplicates</a></code>,
+<code><a href="dropDuplicates.html">dropDuplicates</a></code>,
+<code><a href="dropDuplicates.html">dropDuplicates,SparkDataFrame-method</a></code>;
+<code><a href="nafunctions.html">dropna</a></code>, <code><a href="nafunctions.html">dropna</a></code>,
+<code><a href="nafunctions.html">dropna,SparkDataFrame-method</a></code>,
+<code><a href="nafunctions.html">fillna</a></code>, <code><a href="nafunctions.html">fillna</a></code>,
+<code><a href="nafunctions.html">fillna,SparkDataFrame-method</a></code>,
+<code><a href="nafunctions.html">na.omit</a></code>, <code><a href="nafunctions.html">na.omit</a></code>,
+<code><a href="nafunctions.html">na.omit,SparkDataFrame-method</a></code>;
+<code><a href="drop.html">drop</a></code>, <code><a href="drop.html">drop</a></code>,
+<code><a href="drop.html">drop</a></code>, <code><a href="drop.html">drop,ANY-method</a></code>,
+<code><a href="drop.html">drop,SparkDataFrame-method</a></code>;
+<code><a href="dtypes.html">dtypes</a></code>, <code><a href="dtypes.html">dtypes</a></code>,
+<code><a href="dtypes.html">dtypes,SparkDataFrame-method</a></code>;
+<code><a href="except.html">except</a></code>, <code><a href="except.html">except</a></code>,
+<code><a href="except.html">except,SparkDataFrame,SparkDataFrame-method</a></code>;
+<code><a href="explain.html">explain</a></code>, <code><a href="explain.html">explain</a></code>,
+<code><a href="explain.html">explain,SparkDataFrame-method</a></code>;
+<code><a href="filter.html">filter</a></code>, <code><a href="filter.html">filter</a></code>,
+<code><a href="filter.html">filter,SparkDataFrame,characterOrColumn-method</a></code>,
+<code><a href="filter.html">where</a></code>, <code><a href="filter.html">where</a></code>,
+<code><a href="filter.html">where,SparkDataFrame,characterOrColumn-method</a></code>;
+<code><a href="first.html">first</a></code>, <code><a href="first.html">first</a></code>,
+<code><a href="first.html">first</a></code>,
+<code><a href="first.html">first,SparkDataFrame-method</a></code>,
+<code><a href="first.html">first,characterOrColumn-method</a></code>;
+<code><a href="gapplyCollect.html">gapplyCollect</a></code>, <code><a href="gapplyCollect.html">gapplyCollect</a></code>,
+<code><a href="gapplyCollect.html">gapplyCollect</a></code>,
+<code><a href="gapplyCollect.html">gapplyCollect,GroupedData-method</a></code>,
+<code><a href="gapplyCollect.html">gapplyCollect,SparkDataFrame-method</a></code>;
+<code><a href="gapply.html">gapply</a></code>, <code><a href="gapply.html">gapply</a></code>,
+<code><a href="gapply.html">gapply</a></code>,
+<code><a href="gapply.html">gapply,GroupedData-method</a></code>,
+<code><a href="gapply.html">gapply,SparkDataFrame-method</a></code>;
+<code><a href="head.html">head</a></code>,
+<code><a href="head.html">head,SparkDataFrame-method</a></code>;
+<code><a href="histogram.html">histogram</a></code>,
+<code><a href="histogram.html">histogram,SparkDataFrame,characterOrColumn-method</a></code>;
+<code><a href="insertInto.html">insertInto</a></code>, <code><a href="insertInto.html">insertInto</a></code>,
+<code><a href="insertInto.html">insertInto,SparkDataFrame,character-method</a></code>;
+<code><a href="intersect.html">intersect</a></code>, <code><a href="intersect.html">intersect</a></code>,
+<code><a href="intersect.html">intersect,SparkDataFrame,SparkDataFrame-method</a></code>;
+<code><a href="isLocal.html">isLocal</a></code>, <code><a href="isLocal.html">isLocal</a></code>,
+<code><a href="isLocal.html">isLocal,SparkDataFrame-method</a></code>;
+<code><a href="join.html">join</a></code>,
+<code><a href="join.html">join,SparkDataFrame,SparkDataFrame-method</a></code>;
+<code><a href="limit.html">limit</a></code>, <code><a href="limit.html">limit</a></code>,
+<code><a href="limit.html">limit,SparkDataFrame,numeric-method</a></code>;
+<code><a href="merge.html">merge</a></code>, <code><a href="merge.html">merge</a></code>,
+<code><a href="merge.html">merge,SparkDataFrame,SparkDataFrame-method</a></code>;
+<code><a href="mutate.html">mutate</a></code>, <code><a href="mutate.html">mutate</a></code>,
+<code><a href="mutate.html">mutate,SparkDataFrame-method</a></code>,
+<code><a href="mutate.html">transform</a></code>, <code><a href="mutate.html">transform</a></code>,
+<code><a href="mutate.html">transform,SparkDataFrame-method</a></code>;
+<code><a href="ncol.html">ncol</a></code>,
+<code><a href="ncol.html">ncol,SparkDataFrame-method</a></code>;
+<code><a href="persist.html">persist</a></code>, <code><a href="persist.html">persist</a></code>,
+<code><a href="persist.html">persist,SparkDataFrame,character-method</a></code>;
+<code><a href="printSchema.html">printSchema</a></code>, <code><a href="printSchema.html">printSchema</a></code>,
+<code><a href="printSchema.html">printSchema,SparkDataFrame-method</a></code>;
+<code><a href="randomSplit.html">randomSplit</a></code>, <code><a href="randomSplit.html">randomSplit</a></code>,
+<code><a href="randomSplit.html">randomSplit,SparkDataFrame,numeric-method</a></code>;
+<code><a href="rbind.html">rbind</a></code>, <code><a href="rbind.html">rbind</a></code>,
+<code><a href="rbind.html">rbind,SparkDataFrame-method</a></code>;
+<code><a href="registerTempTable-deprecated.html">registerTempTable</a></code>,
+<code><a href="registerTempTable-deprecated.html">registerTempTable</a></code>,
+<code><a href="registerTempTable-deprecated.html">registerTempTable,SparkDataFrame,character-method</a></code>;
+<code><a href="rename.html">rename</a></code>, <code><a href="rename.html">rename</a></code>,
+<code><a href="rename.html">rename,SparkDataFrame-method</a></code>,
+<code><a href="rename.html">withColumnRenamed</a></code>,
+<code><a href="rename.html">withColumnRenamed</a></code>,
+<code><a href="rename.html">withColumnRenamed,SparkDataFrame,character,character-method</a></code>;
+<code><a href="repartition.html">repartition</a></code>, <code><a href="repartition.html">repartition</a></code>,
+<code><a href="repartition.html">repartition,SparkDataFrame-method</a></code>;
+<code><a href="sample.html">sample</a></code>, <code><a href="sample.html">sample</a></code>,
+<code><a href="sample.html">sample,SparkDataFrame,logical,numeric-method</a></code>,
+<code><a href="sample.html">sample_frac</a></code>, <code><a href="sample.html">sample_frac</a></code>,
+<code><a href="sample.html">sample_frac,SparkDataFrame,logical,numeric-method</a></code>;
+<code><a href="write.parquet.html">saveAsParquetFile</a></code>,
+<code><a href="write.parquet.html">saveAsParquetFile</a></code>,
+<code><a href="write.parquet.html">saveAsParquetFile,SparkDataFrame,character-method</a></code>,
+<code><a href="write.parquet.html">write.parquet</a></code>, <code><a href="write.parquet.html">write.parquet</a></code>,
+<code><a href="write.parquet.html">write.parquet,SparkDataFrame,character-method</a></code>;
+<code><a href="saveAsTable.html">saveAsTable</a></code>, <code><a href="saveAsTable.html">saveAsTable</a></code>,
+<code><a href="saveAsTable.html">saveAsTable,SparkDataFrame,character-method</a></code>;
+<code><a href="write.df.html">saveDF</a></code>, <code><a href="write.df.html">saveDF</a></code>,
+<code><a href="write.df.html">saveDF,SparkDataFrame,character-method</a></code>,
+<code><a href="write.df.html">write.df</a></code>, <code><a href="write.df.html">write.df</a></code>,
+<code><a href="write.df.html">write.df</a></code>,
+<code><a href="write.df.html">write.df,SparkDataFrame,character-method</a></code>;
+<code><a href="schema.html">schema</a></code>, <code><a href="schema.html">schema</a></code>,
+<code><a href="schema.html">schema,SparkDataFrame-method</a></code>;
+<code><a href="selectExpr.html">selectExpr</a></code>, <code><a href="selectExpr.html">selectExpr</a></code>,
+<code><a href="selectExpr.html">selectExpr,SparkDataFrame,character-method</a></code>;
+<code><a href="showDF.html">showDF</a></code>, <code><a href="showDF.html">showDF</a></code>,
+<code><a href="showDF.html">showDF,SparkDataFrame-method</a></code>;
+<code><a href="show.html">show</a></code>, <code><a href="show.html">show</a></code>,
+<code><a href="show.html">show,Column-method</a></code>,
+<code><a href="show.html">show,GroupedData-method</a></code>,
+<code><a href="show.html">show,SparkDataFrame-method</a></code>,
+<code><a href="show.html">show,WindowSpec-method</a></code>; <code><a href="str.html">str</a></code>,
+<code><a href="str.html">str,SparkDataFrame-method</a></code>;
+<code><a href="take.html">take</a></code>, <code><a href="take.html">take</a></code>,
+<code><a href="take.html">take,SparkDataFrame,numeric-method</a></code>;
+<code><a href="union.html">union</a></code>, <code><a href="union.html">union</a></code>,
+<code><a href="union.html">union,SparkDataFrame,SparkDataFrame-method</a></code>,
+<code><a href="union.html">unionAll</a></code>, <code><a href="union.html">unionAll</a></code>,
+<code><a href="union.html">unionAll,SparkDataFrame,SparkDataFrame-method</a></code>;
+<code><a href="unpersist-methods.html">unpersist</a></code>, <code><a href="unpersist-methods.html">unpersist</a></code>,
+<code><a href="unpersist-methods.html">unpersist,SparkDataFrame-method</a></code>;
+<code><a href="withColumn.html">withColumn</a></code>, <code><a href="withColumn.html">withColumn</a></code>,
+<code><a href="withColumn.html">withColumn,SparkDataFrame,character,Column-method</a></code>;
+<code><a href="with.html">with</a></code>,
+<code><a href="with.html">with,SparkDataFrame-method</a></code>;
+<code><a href="write.jdbc.html">write.jdbc</a></code>, <code><a href="write.jdbc.html">write.jdbc</a></code>,
+<code><a href="write.jdbc.html">write.jdbc,SparkDataFrame,character,character-method</a></code>;
+<code><a href="write.json.html">write.json</a></code>, <code><a href="write.json.html">write.json</a></code>,
+<code><a href="write.json.html">write.json,SparkDataFrame,character-method</a></code>;
+<code><a href="write.orc.html">write.orc</a></code>, <code><a href="write.orc.html">write.orc</a></code>,
+<code><a href="write.orc.html">write.orc,SparkDataFrame,character-method</a></code>;
+<code><a href="write.text.html">write.text</a></code>, <code><a href="write.text.html">write.text</a></code>,
+<code><a href="write.text.html">write.text,SparkDataFrame,character-method</a></code>
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run:
+##D # Compute the average for all numeric columns grouped by department.
+##D avg(groupBy(df, "department"))
+##D
+##D # Compute the max age and average salary, grouped by department and gender.
+##D agg(groupBy(df, "department", "gender"), salary="avg", "age" -> "max")
+## End(Not run)
+</code></pre>
+
+
+<hr><div align="center">[Package <em>SparkR</em> version 2.0.2 <a href="00Index.html">Index</a>]</div>
+</body></html>
http://git-wip-us.apache.org/repos/asf/spark-website/blob/0bd36316/site/docs/2.0.2/api/R/hash.html
----------------------------------------------------------------------
diff --git a/site/docs/2.0.2/api/R/hash.html b/site/docs/2.0.2/api/R/hash.html
new file mode 100644
index 0000000..3b9e906
--- /dev/null
+++ b/site/docs/2.0.2/api/R/hash.html
@@ -0,0 +1,74 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
+<html><head><title>R: hash</title>
+<meta http-equiv="Content-Type" content="text/html; charset=utf-8">
+<link rel="stylesheet" type="text/css" href="R.css">
+
+<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.3/styles/github.min.css">
+<script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.3/highlight.min.js"></script>
+<script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.3/languages/r.min.js"></script>
+<script>hljs.initHighlightingOnLoad();</script>
+</head><body>
+
+<table width="100%" summary="page for hash {SparkR}"><tr><td>hash {SparkR}</td><td align="right">R Documentation</td></tr></table>
+
+<h2>hash</h2>
+
+<h3>Description</h3>
+
+<p>Calculates the hash code of given columns, and returns the result as a int column.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+## S4 method for signature 'Column'
+hash(x, ...)
+
+hash(x, ...)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>x</code></td>
+<td>
+<p>Column to compute on.</p>
+</td></tr>
+<tr valign="top"><td><code>...</code></td>
+<td>
+<p>additional Column(s) to be included.</p>
+</td></tr>
+</table>
+
+
+<h3>Note</h3>
+
+<p>hash since 2.0.0
+</p>
+
+
+<h3>See Also</h3>
+
+<p>Other misc_funcs: <code><a href="crc32.html">crc32</a></code>, <code><a href="crc32.html">crc32</a></code>,
+<code><a href="crc32.html">crc32,Column-method</a></code>; <code><a href="md5.html">md5</a></code>,
+<code><a href="md5.html">md5</a></code>, <code><a href="md5.html">md5,Column-method</a></code>;
+<code><a href="monotonically_increasing_id.html">monotonically_increasing_id</a></code>,
+<code><a href="monotonically_increasing_id.html">monotonically_increasing_id</a></code>,
+<code><a href="monotonically_increasing_id.html">monotonically_increasing_id,missing-method</a></code>;
+<code><a href="sha1.html">sha1</a></code>, <code><a href="sha1.html">sha1</a></code>,
+<code><a href="sha1.html">sha1,Column-method</a></code>; <code><a href="sha2.html">sha2</a></code>,
+<code><a href="sha2.html">sha2</a></code>,
+<code><a href="sha2.html">sha2,Column,numeric-method</a></code>
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run: hash(df$c)
+</code></pre>
+
+
+<hr><div align="center">[Package <em>SparkR</em> version 2.0.2 <a href="00Index.html">Index</a>]</div>
+</body></html>
http://git-wip-us.apache.org/repos/asf/spark-website/blob/0bd36316/site/docs/2.0.2/api/R/hashCode.html
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diff --git a/site/docs/2.0.2/api/R/hashCode.html b/site/docs/2.0.2/api/R/hashCode.html
new file mode 100644
index 0000000..fff9e6e
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+++ b/site/docs/2.0.2/api/R/hashCode.html
@@ -0,0 +1,69 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
+<html><head><title>R: Compute the hashCode of an object</title>
+<meta http-equiv="Content-Type" content="text/html; charset=utf-8">
+<link rel="stylesheet" type="text/css" href="R.css">
+
+<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.3/styles/github.min.css">
+<script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.3/highlight.min.js"></script>
+<script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.3/languages/r.min.js"></script>
+<script>hljs.initHighlightingOnLoad();</script>
+</head><body>
+
+<table width="100%" summary="page for hashCode {SparkR}"><tr><td>hashCode {SparkR}</td><td align="right">R Documentation</td></tr></table>
+
+<h2>Compute the hashCode of an object</h2>
+
+<h3>Description</h3>
+
+<p>Java-style function to compute the hashCode for the given object. Returns
+an integer value.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+hashCode(key)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>key</code></td>
+<td>
+<p>the object to be hashed</p>
+</td></tr>
+</table>
+
+
+<h3>Details</h3>
+
+<p>This only works for integer, numeric and character types right now.
+</p>
+
+
+<h3>Value</h3>
+
+<p>the hash code as an integer
+</p>
+
+
+<h3>Note</h3>
+
+<p>hashCode since 1.4.0
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run:
+##D hashCode(1L) # 1
+##D hashCode(1.0) # 1072693248
+##D hashCode("1") # 49
+## End(Not run)
+</code></pre>
+
+
+<hr><div align="center">[Package <em>SparkR</em> version 2.0.2 <a href="00Index.html">Index</a>]</div>
+</body></html>
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