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From r...@apache.org
Subject [34/51] [partial] spark-website git commit: Add docs for 2.0.2.
Date Fri, 11 Nov 2016 22:03:23 GMT
http://git-wip-us.apache.org/repos/asf/spark-website/blob/0bd36316/site/docs/2.0.2/api/R/nrow.html
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diff --git a/site/docs/2.0.2/api/R/nrow.html b/site/docs/2.0.2/api/R/nrow.html
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+<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
+<html><head><title>R: Returns the number of rows in a SparkDataFrame</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 nrow {SparkR}"><tr><td>nrow {SparkR}</td><td align="right">R Documentation</td></tr></table>
+
+<h2>Returns the number of rows in a SparkDataFrame</h2>
+
+<h3>Description</h3>
+
+<p>Returns the number of rows in a SparkDataFrame
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+## S4 method for signature 'SparkDataFrame'
+count(x)
+
+## S4 method for signature 'SparkDataFrame'
+nrow(x)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>x</code></td>
+<td>
+<p>a SparkDataFrame.</p>
+</td></tr>
+</table>
+
+
+<h3>Note</h3>
+
+<p>count since 1.4.0
+</p>
+<p>nrow since 1.5.0
+</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">$&lt;-</a></code>,
+<code><a href="select.html">$&lt;-,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&lt;-</a></code>, <code><a href="columns.html">colnames&lt;-</a></code>,
+<code><a href="columns.html">colnames&lt;-,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&lt;-</a></code>,
+<code><a href="columns.html">names&lt;-,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&lt;-</a></code>, <code><a href="coltypes.html">coltypes&lt;-</a></code>,
+<code><a href="coltypes.html">coltypes&lt;-,SparkDataFrame,character-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="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 sparkR.session()
+##D path &lt;- &quot;path/to/file.json&quot;
+##D df &lt;- read.json(path)
+##D count(df)
+## 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/ntile.html
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diff --git a/site/docs/2.0.2/api/R/ntile.html b/site/docs/2.0.2/api/R/ntile.html
new file mode 100644
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--- /dev/null
+++ b/site/docs/2.0.2/api/R/ntile.html
@@ -0,0 +1,92 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
+<html><head><title>R: ntile</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 ntile {SparkR}"><tr><td>ntile {SparkR}</td><td align="right">R Documentation</td></tr></table>
+
+<h2>ntile</h2>
+
+<h3>Description</h3>
+
+<p>Window function: returns the ntile group id (from 1 to n inclusive) in an ordered window
+partition. For example, if n is 4, the first quarter of the rows will get value 1, the second
+quarter will get 2, the third quarter will get 3, and the last quarter will get 4.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+## S4 method for signature 'numeric'
+ntile(x)
+
+ntile(x)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>x</code></td>
+<td>
+<p>Number of ntile groups</p>
+</td></tr>
+</table>
+
+
+<h3>Details</h3>
+
+<p>This is equivalent to the <code>NTILE</code> function in SQL.
+</p>
+
+
+<h3>Note</h3>
+
+<p>ntile since 1.6.0
+</p>
+
+
+<h3>See Also</h3>
+
+<p>Other window_funcs: <code><a href="cume_dist.html">cume_dist</a></code>,
+<code><a href="cume_dist.html">cume_dist</a></code>,
+<code><a href="cume_dist.html">cume_dist,missing-method</a></code>;
+<code><a href="dense_rank.html">dense_rank</a></code>, <code><a href="dense_rank.html">dense_rank</a></code>,
+<code><a href="dense_rank.html">dense_rank,missing-method</a></code>;
+<code><a href="lag.html">lag</a></code>, <code><a href="lag.html">lag</a></code>,
+<code><a href="lag.html">lag,characterOrColumn-method</a></code>;
+<code><a href="lead.html">lead</a></code>, <code><a href="lead.html">lead</a></code>,
+<code><a href="lead.html">lead,characterOrColumn,numeric-method</a></code>;
+<code><a href="percent_rank.html">percent_rank</a></code>, <code><a href="percent_rank.html">percent_rank</a></code>,
+<code><a href="percent_rank.html">percent_rank,missing-method</a></code>;
+<code><a href="rank.html">rank</a></code>, <code><a href="rank.html">rank</a></code>,
+<code><a href="rank.html">rank</a></code>, <code><a href="rank.html">rank,ANY-method</a></code>,
+<code><a href="rank.html">rank,missing-method</a></code>;
+<code><a href="row_number.html">row_number</a></code>, <code><a href="row_number.html">row_number</a></code>,
+<code><a href="row_number.html">row_number,missing-method</a></code>
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run: 
+##D   df &lt;- createDataFrame(mtcars)
+##D 
+##D   # Partition by am (transmission) and order by hp (horsepower)
+##D   ws &lt;- orderBy(windowPartitionBy(&quot;am&quot;), &quot;hp&quot;)
+##D 
+##D   # Get ntile group id (1-4) for hp
+##D   out &lt;- select(df, over(ntile(4), ws), df$hp, df$am)
+## 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/orderBy.html
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+<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
+<html><head><title>R: Ordering Columns in a WindowSpec</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 orderBy {SparkR}"><tr><td>orderBy {SparkR}</td><td align="right">R Documentation</td></tr></table>
+
+<h2>Ordering Columns in a WindowSpec</h2>
+
+<h3>Description</h3>
+
+<p>Defines the ordering columns in a WindowSpec.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+## S4 method for signature 'WindowSpec,character'
+orderBy(x, col, ...)
+
+## S4 method for signature 'WindowSpec,Column'
+orderBy(x, col, ...)
+
+orderBy(x, col, ...)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>x</code></td>
+<td>
+<p>a WindowSpec</p>
+</td></tr>
+<tr valign="top"><td><code>col</code></td>
+<td>
+<p>a character or Column indicating an ordering column</p>
+</td></tr>
+<tr valign="top"><td><code>...</code></td>
+<td>
+<p>additional sorting fields</p>
+</td></tr>
+</table>
+
+
+<h3>Value</h3>
+
+<p>A WindowSpec.
+</p>
+
+
+<h3>Note</h3>
+
+<p>orderBy(WindowSpec, character) since 2.0.0
+</p>
+<p>orderBy(WindowSpec, Column) since 2.0.0
+</p>
+
+
+<h3>See Also</h3>
+
+<p>See <a href="arrange.html">arrange</a> for use in sorting a SparkDataFrame
+</p>
+<p>Other windowspec_method: <code><a href="partitionBy.html">partitionBy</a></code>,
+<code><a href="partitionBy.html">partitionBy</a></code>,
+<code><a href="partitionBy.html">partitionBy,WindowSpec-method</a></code>;
+<code><a href="rangeBetween.html">rangeBetween</a></code>, <code><a href="rangeBetween.html">rangeBetween</a></code>,
+<code><a href="rangeBetween.html">rangeBetween,WindowSpec,numeric,numeric-method</a></code>;
+<code><a href="rowsBetween.html">rowsBetween</a></code>, <code><a href="rowsBetween.html">rowsBetween</a></code>,
+<code><a href="rowsBetween.html">rowsBetween,WindowSpec,numeric,numeric-method</a></code>
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run: 
+##D   orderBy(ws, &quot;col1&quot;, &quot;col2&quot;)
+##D   orderBy(ws, df$col1, df$col2)
+## 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/otherwise.html
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+<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
+<html><head><title>R: otherwise</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 otherwise {SparkR}"><tr><td>otherwise {SparkR}</td><td align="right">R Documentation</td></tr></table>
+
+<h2>otherwise</h2>
+
+<h3>Description</h3>
+
+<p>If values in the specified column are null, returns the value.
+Can be used in conjunction with <code>when</code> to specify a default value for expressions.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+## S4 method for signature 'Column'
+otherwise(x, value)
+
+otherwise(x, value)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>x</code></td>
+<td>
+<p>a Column.</p>
+</td></tr>
+<tr valign="top"><td><code>value</code></td>
+<td>
+<p>value to replace when the corresponding entry in <code>x</code> is NA.
+Can be a single value or a Column.</p>
+</td></tr>
+</table>
+
+
+<h3>Note</h3>
+
+<p>otherwise since 1.5.0
+</p>
+
+
+<h3>See Also</h3>
+
+<p>Other colum_func: <code><a href="alias.html">alias</a></code>,
+<code><a href="alias.html">alias,Column-method</a></code>; <code><a href="between.html">between</a></code>,
+<code><a href="between.html">between</a></code>,
+<code><a href="between.html">between,Column-method</a></code>; <code><a href="cast.html">cast</a></code>,
+<code><a href="cast.html">cast</a></code>, <code><a href="cast.html">cast,Column-method</a></code>;
+<code><a href="endsWith.html">endsWith</a></code>, <code><a href="endsWith.html">endsWith</a></code>,
+<code><a href="endsWith.html">endsWith,Column-method</a></code>; <code><a href="over.html">over</a></code>,
+<code><a href="over.html">over</a></code>,
+<code><a href="over.html">over,Column,WindowSpec-method</a></code>;
+<code><a href="startsWith.html">startsWith</a></code>, <code><a href="startsWith.html">startsWith</a></code>,
+<code><a href="startsWith.html">startsWith,Column-method</a></code>;
+<code><a href="substr.html">substr</a></code>, <code><a href="substr.html">substr,Column-method</a></code>
+</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/over.html
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+<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
+<html><head><title>R: over</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 over {SparkR}"><tr><td>over {SparkR}</td><td align="right">R Documentation</td></tr></table>
+
+<h2>over</h2>
+
+<h3>Description</h3>
+
+<p>Define a windowing column.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+## S4 method for signature 'Column,WindowSpec'
+over(x, window)
+
+over(x, window)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>x</code></td>
+<td>
+<p>a Column, usually one returned by window function(s).</p>
+</td></tr>
+<tr valign="top"><td><code>window</code></td>
+<td>
+<p>a WindowSpec object. Can be created by <code>windowPartitionBy</code> or
+<code>windowOrderBy</code> and configured by other WindowSpec methods.</p>
+</td></tr>
+</table>
+
+
+<h3>Note</h3>
+
+<p>over since 2.0.0
+</p>
+
+
+<h3>See Also</h3>
+
+<p>Other colum_func: <code><a href="alias.html">alias</a></code>,
+<code><a href="alias.html">alias,Column-method</a></code>; <code><a href="between.html">between</a></code>,
+<code><a href="between.html">between</a></code>,
+<code><a href="between.html">between,Column-method</a></code>; <code><a href="cast.html">cast</a></code>,
+<code><a href="cast.html">cast</a></code>, <code><a href="cast.html">cast,Column-method</a></code>;
+<code><a href="endsWith.html">endsWith</a></code>, <code><a href="endsWith.html">endsWith</a></code>,
+<code><a href="endsWith.html">endsWith,Column-method</a></code>;
+<code><a href="otherwise.html">otherwise</a></code>, <code><a href="otherwise.html">otherwise</a></code>,
+<code><a href="otherwise.html">otherwise,Column-method</a></code>;
+<code><a href="startsWith.html">startsWith</a></code>, <code><a href="startsWith.html">startsWith</a></code>,
+<code><a href="startsWith.html">startsWith,Column-method</a></code>;
+<code><a href="substr.html">substr</a></code>, <code><a href="substr.html">substr,Column-method</a></code>
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run: 
+##D   df &lt;- createDataFrame(mtcars)
+##D 
+##D   # Partition by am (transmission) and order by hp (horsepower)
+##D   ws &lt;- orderBy(windowPartitionBy(&quot;am&quot;), &quot;hp&quot;)
+##D 
+##D   # Rank on hp within each partition
+##D   out &lt;- select(df, over(rank(), ws), df$hp, df$am)
+##D 
+##D   # Lag mpg values by 1 row on the partition-and-ordered table
+##D   out &lt;- select(df, over(lead(df$mpg), ws), df$mpg, df$hp, df$am)
+## 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: partitionBy</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 partitionBy {SparkR}"><tr><td>partitionBy {SparkR}</td><td align="right">R Documentation</td></tr></table>
+
+<h2>partitionBy</h2>
+
+<h3>Description</h3>
+
+<p>Defines the partitioning columns in a WindowSpec.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+## S4 method for signature 'WindowSpec'
+partitionBy(x, col, ...)
+
+partitionBy(x, ...)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>x</code></td>
+<td>
+<p>a WindowSpec.</p>
+</td></tr>
+<tr valign="top"><td><code>col</code></td>
+<td>
+<p>a column to partition on (desribed by the name or Column).</p>
+</td></tr>
+<tr valign="top"><td><code>...</code></td>
+<td>
+<p>additional column(s) to partition on.</p>
+</td></tr>
+</table>
+
+
+<h3>Value</h3>
+
+<p>A WindowSpec.
+</p>
+
+
+<h3>Note</h3>
+
+<p>partitionBy(WindowSpec) since 2.0.0
+</p>
+
+
+<h3>See Also</h3>
+
+<p>Other windowspec_method: <code><a href="orderBy.html">orderBy</a></code>,
+<code><a href="orderBy.html">orderBy</a></code>, <code><a href="orderBy.html">orderBy</a></code>,
+<code><a href="orderBy.html">orderBy,WindowSpec,Column-method</a></code>,
+<code><a href="orderBy.html">orderBy,WindowSpec,character-method</a></code>;
+<code><a href="rangeBetween.html">rangeBetween</a></code>, <code><a href="rangeBetween.html">rangeBetween</a></code>,
+<code><a href="rangeBetween.html">rangeBetween,WindowSpec,numeric,numeric-method</a></code>;
+<code><a href="rowsBetween.html">rowsBetween</a></code>, <code><a href="rowsBetween.html">rowsBetween</a></code>,
+<code><a href="rowsBetween.html">rowsBetween,WindowSpec,numeric,numeric-method</a></code>
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run: 
+##D   partitionBy(ws, &quot;col1&quot;, &quot;col2&quot;)
+##D   partitionBy(ws, df$col1, df$col2)
+## 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/percent_rank.html
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+<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
+<html><head><title>R: percent_rank</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 percent_rank {SparkR}"><tr><td>percent_rank {SparkR}</td><td align="right">R Documentation</td></tr></table>
+
+<h2>percent_rank</h2>
+
+<h3>Description</h3>
+
+<p>Window function: returns the relative rank (i.e. percentile) of rows within a window partition.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+## S4 method for signature 'missing'
+percent_rank()
+
+percent_rank(x = "missing")
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>x</code></td>
+<td>
+<p>empty. Should be used with no argument.</p>
+</td></tr>
+</table>
+
+
+<h3>Details</h3>
+
+<p>This is computed by:
+</p>
+<p>(rank of row in its partition - 1) / (number of rows in the partition - 1)
+</p>
+<p>This is equivalent to the PERCENT_RANK function in SQL.
+</p>
+
+
+<h3>Note</h3>
+
+<p>percent_rank since 1.6.0
+</p>
+
+
+<h3>See Also</h3>
+
+<p>Other window_funcs: <code><a href="cume_dist.html">cume_dist</a></code>,
+<code><a href="cume_dist.html">cume_dist</a></code>,
+<code><a href="cume_dist.html">cume_dist,missing-method</a></code>;
+<code><a href="dense_rank.html">dense_rank</a></code>, <code><a href="dense_rank.html">dense_rank</a></code>,
+<code><a href="dense_rank.html">dense_rank,missing-method</a></code>;
+<code><a href="lag.html">lag</a></code>, <code><a href="lag.html">lag</a></code>,
+<code><a href="lag.html">lag,characterOrColumn-method</a></code>;
+<code><a href="lead.html">lead</a></code>, <code><a href="lead.html">lead</a></code>,
+<code><a href="lead.html">lead,characterOrColumn,numeric-method</a></code>;
+<code><a href="ntile.html">ntile</a></code>, <code><a href="ntile.html">ntile</a></code>,
+<code><a href="ntile.html">ntile,numeric-method</a></code>; <code><a href="rank.html">rank</a></code>,
+<code><a href="rank.html">rank</a></code>, <code><a href="rank.html">rank</a></code>,
+<code><a href="rank.html">rank,ANY-method</a></code>,
+<code><a href="rank.html">rank,missing-method</a></code>;
+<code><a href="row_number.html">row_number</a></code>, <code><a href="row_number.html">row_number</a></code>,
+<code><a href="row_number.html">row_number,missing-method</a></code>
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run: 
+##D   df &lt;- createDataFrame(mtcars)
+##D   ws &lt;- orderBy(windowPartitionBy(&quot;am&quot;), &quot;hp&quot;)
+##D   out &lt;- select(df, over(percent_rank(), ws), df$hp, df$am)
+## 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/persist.html
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+<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
+<html><head><title>R: Persist</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 persist {SparkR}"><tr><td>persist {SparkR}</td><td align="right">R Documentation</td></tr></table>
+
+<h2>Persist</h2>
+
+<h3>Description</h3>
+
+<p>Persist this SparkDataFrame with the specified storage level. For details of the
+supported storage levels, refer to
+<a href="http://spark.apache.org/docs/latest/programming-guide.html#rdd-persistence">http://spark.apache.org/docs/latest/programming-guide.html#rdd-persistence</a>.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+## S4 method for signature 'SparkDataFrame,character'
+persist(x, newLevel)
+
+persist(x, newLevel)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>x</code></td>
+<td>
+<p>the SparkDataFrame to persist.</p>
+</td></tr>
+<tr valign="top"><td><code>newLevel</code></td>
+<td>
+<p>storage level chosen for the persistance. See available options in
+the description.</p>
+</td></tr>
+</table>
+
+
+<h3>Note</h3>
+
+<p>persist 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">$&lt;-</a></code>,
+<code><a href="select.html">$&lt;-,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&lt;-</a></code>, <code><a href="columns.html">colnames&lt;-</a></code>,
+<code><a href="columns.html">colnames&lt;-,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&lt;-</a></code>,
+<code><a href="columns.html">names&lt;-,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&lt;-</a></code>, <code><a href="coltypes.html">coltypes&lt;-</a></code>,
+<code><a href="coltypes.html">coltypes&lt;-,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="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="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 sparkR.session()
+##D path &lt;- &quot;path/to/file.json&quot;
+##D df &lt;- read.json(path)
+##D persist(df, &quot;MEMORY_AND_DISK&quot;)
+## 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/pivot.html
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+<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
+<html><head><title>R: Pivot a column of the GroupedData and perform the specified...</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 pivot {SparkR}"><tr><td>pivot {SparkR}</td><td align="right">R Documentation</td></tr></table>
+
+<h2>Pivot a column of the GroupedData and perform the specified aggregation.</h2>
+
+<h3>Description</h3>
+
+<p>Pivot a column of the GroupedData and perform the specified aggregation.
+There are two versions of pivot function: one that requires the caller to specify the list
+of distinct values to pivot on, and one that does not. The latter is more concise but less
+efficient, because Spark needs to first compute the list of distinct values internally.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+## S4 method for signature 'GroupedData,character'
+pivot(x, colname, values = list())
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>x</code></td>
+<td>
+<p>a GroupedData object</p>
+</td></tr>
+<tr valign="top"><td><code>colname</code></td>
+<td>
+<p>A column name</p>
+</td></tr>
+<tr valign="top"><td><code>values</code></td>
+<td>
+<p>A value or a list/vector of distinct values for the output columns.</p>
+</td></tr>
+</table>
+
+
+<h3>Value</h3>
+
+<p>GroupedData object
+</p>
+
+
+<h3>Note</h3>
+
+<p>pivot since 2.0.0
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run: 
+##D df &lt;- createDataFrame(data.frame(
+##D     earnings = c(10000, 10000, 11000, 15000, 12000, 20000, 21000, 22000),
+##D     course = c(&quot;R&quot;, &quot;Python&quot;, &quot;R&quot;, &quot;Python&quot;, &quot;R&quot;, &quot;Python&quot;, &quot;R&quot;, &quot;Python&quot;),
+##D     period = c(&quot;1H&quot;, &quot;1H&quot;, &quot;2H&quot;, &quot;2H&quot;, &quot;1H&quot;, &quot;1H&quot;, &quot;2H&quot;, &quot;2H&quot;),
+##D     year = c(2015, 2015, 2015, 2015, 2016, 2016, 2016, 2016)
+##D ))
+##D group_sum &lt;- sum(pivot(groupBy(df, &quot;year&quot;), &quot;course&quot;), &quot;earnings&quot;)
+##D group_min &lt;- min(pivot(groupBy(df, &quot;year&quot;), &quot;course&quot;, &quot;R&quot;), &quot;earnings&quot;)
+##D group_max &lt;- max(pivot(groupBy(df, &quot;year&quot;), &quot;course&quot;, c(&quot;Python&quot;, &quot;R&quot;)), &quot;earnings&quot;)
+##D group_mean &lt;- mean(pivot(groupBy(df, &quot;year&quot;), &quot;course&quot;, list(&quot;Python&quot;, &quot;R&quot;)), &quot;earnings&quot;)
+## 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/pmod.html
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+<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
+<html><head><title>R: pmod</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 pmod {SparkR}"><tr><td>pmod {SparkR}</td><td align="right">R Documentation</td></tr></table>
+
+<h2>pmod</h2>
+
+<h3>Description</h3>
+
+<p>Returns the positive value of dividend mod divisor.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+## S4 method for signature 'Column'
+pmod(y, x)
+
+pmod(y, x)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>y</code></td>
+<td>
+<p>dividend Column.</p>
+</td></tr>
+<tr valign="top"><td><code>x</code></td>
+<td>
+<p>divisor Column.</p>
+</td></tr>
+</table>
+
+
+<h3>Note</h3>
+
+<p>pmod since 1.5.0
+</p>
+
+
+<h3>See Also</h3>
+
+<p>Other math_funcs: <code><a href="acos.html">acos</a></code>,
+<code><a href="acos.html">acos,Column-method</a></code>; <code><a href="asin.html">asin</a></code>,
+<code><a href="asin.html">asin,Column-method</a></code>; <code><a href="atan2.html">atan2</a></code>,
+<code><a href="atan2.html">atan2,Column-method</a></code>; <code><a href="atan.html">atan</a></code>,
+<code><a href="atan.html">atan,Column-method</a></code>; <code><a href="bin.html">bin</a></code>,
+<code><a href="bin.html">bin</a></code>, <code><a href="bin.html">bin,Column-method</a></code>;
+<code><a href="bround.html">bround</a></code>, <code><a href="bround.html">bround</a></code>,
+<code><a href="bround.html">bround,Column-method</a></code>; <code><a href="cbrt.html">cbrt</a></code>,
+<code><a href="cbrt.html">cbrt</a></code>, <code><a href="cbrt.html">cbrt,Column-method</a></code>;
+<code><a href="ceil.html">ceil</a></code>, <code><a href="ceil.html">ceil</a></code>,
+<code><a href="ceil.html">ceil,Column-method</a></code>, <code><a href="ceil.html">ceiling</a></code>,
+<code><a href="ceil.html">ceiling,Column-method</a></code>; <code><a href="conv.html">conv</a></code>,
+<code><a href="conv.html">conv</a></code>,
+<code><a href="conv.html">conv,Column,numeric,numeric-method</a></code>;
+<code><a href="corr.html">corr</a></code>, <code><a href="corr.html">corr</a></code>,
+<code><a href="corr.html">corr</a></code>, <code><a href="corr.html">corr,Column-method</a></code>,
+<code><a href="corr.html">corr,SparkDataFrame-method</a></code>;
+<code><a href="cosh.html">cosh</a></code>, <code><a href="cosh.html">cosh,Column-method</a></code>;
+<code><a href="cos.html">cos</a></code>, <code><a href="cos.html">cos,Column-method</a></code>;
+<code><a href="covar_pop.html">covar_pop</a></code>, <code><a href="covar_pop.html">covar_pop</a></code>,
+<code><a href="covar_pop.html">covar_pop,characterOrColumn,characterOrColumn-method</a></code>;
+<code><a href="cov.html">cov</a></code>, <code><a href="cov.html">cov</a></code>, <code><a href="cov.html">cov</a></code>,
+<code><a href="cov.html">cov,SparkDataFrame-method</a></code>,
+<code><a href="cov.html">cov,characterOrColumn-method</a></code>,
+<code><a href="cov.html">covar_samp</a></code>, <code><a href="cov.html">covar_samp</a></code>,
+<code><a href="cov.html">covar_samp,characterOrColumn,characterOrColumn-method</a></code>;
+<code><a href="expm1.html">expm1</a></code>, <code><a href="expm1.html">expm1,Column-method</a></code>;
+<code><a href="exp.html">exp</a></code>, <code><a href="exp.html">exp,Column-method</a></code>;
+<code><a href="factorial.html">factorial</a></code>,
+<code><a href="factorial.html">factorial,Column-method</a></code>;
+<code><a href="floor.html">floor</a></code>, <code><a href="floor.html">floor,Column-method</a></code>;
+<code><a href="hex.html">hex</a></code>, <code><a href="hex.html">hex</a></code>,
+<code><a href="hex.html">hex,Column-method</a></code>; <code><a href="hypot.html">hypot</a></code>,
+<code><a href="hypot.html">hypot</a></code>, <code><a href="hypot.html">hypot,Column-method</a></code>;
+<code><a href="log10.html">log10</a></code>, <code><a href="log10.html">log10,Column-method</a></code>;
+<code><a href="log1p.html">log1p</a></code>, <code><a href="log1p.html">log1p,Column-method</a></code>;
+<code><a href="log2.html">log2</a></code>, <code><a href="log2.html">log2,Column-method</a></code>;
+<code><a href="log.html">log</a></code>, <code><a href="log.html">log,Column-method</a></code>;
+<code><a href="rint.html">rint</a></code>, <code><a href="rint.html">rint</a></code>,
+<code><a href="rint.html">rint,Column-method</a></code>; <code><a href="round.html">round</a></code>,
+<code><a href="round.html">round,Column-method</a></code>;
+<code><a href="shiftLeft.html">shiftLeft</a></code>, <code><a href="shiftLeft.html">shiftLeft</a></code>,
+<code><a href="shiftLeft.html">shiftLeft,Column,numeric-method</a></code>;
+<code><a href="shiftRightUnsigned.html">shiftRightUnsigned</a></code>,
+<code><a href="shiftRightUnsigned.html">shiftRightUnsigned</a></code>,
+<code><a href="shiftRightUnsigned.html">shiftRightUnsigned,Column,numeric-method</a></code>;
+<code><a href="shiftRight.html">shiftRight</a></code>, <code><a href="shiftRight.html">shiftRight</a></code>,
+<code><a href="shiftRight.html">shiftRight,Column,numeric-method</a></code>;
+<code><a href="sign.html">sign</a></code>, <code><a href="sign.html">sign,Column-method</a></code>,
+<code><a href="sign.html">signum</a></code>, <code><a href="sign.html">signum</a></code>,
+<code><a href="sign.html">signum,Column-method</a></code>; <code><a href="sinh.html">sinh</a></code>,
+<code><a href="sinh.html">sinh,Column-method</a></code>; <code><a href="sin.html">sin</a></code>,
+<code><a href="sin.html">sin,Column-method</a></code>; <code><a href="sqrt.html">sqrt</a></code>,
+<code><a href="sqrt.html">sqrt,Column-method</a></code>; <code><a href="tanh.html">tanh</a></code>,
+<code><a href="tanh.html">tanh,Column-method</a></code>; <code><a href="tan.html">tan</a></code>,
+<code><a href="tan.html">tan,Column-method</a></code>; <code><a href="toDegrees.html">toDegrees</a></code>,
+<code><a href="toDegrees.html">toDegrees</a></code>,
+<code><a href="toDegrees.html">toDegrees,Column-method</a></code>;
+<code><a href="toRadians.html">toRadians</a></code>, <code><a href="toRadians.html">toRadians</a></code>,
+<code><a href="toRadians.html">toRadians,Column-method</a></code>;
+<code><a href="unhex.html">unhex</a></code>, <code><a href="unhex.html">unhex</a></code>,
+<code><a href="unhex.html">unhex,Column-method</a></code>
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run: pmod(df$c, x)
+</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/posexplode.html
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diff --git a/site/docs/2.0.2/api/R/posexplode.html b/site/docs/2.0.2/api/R/posexplode.html
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+++ b/site/docs/2.0.2/api/R/posexplode.html
@@ -0,0 +1,68 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
+<html><head><title>R: posexplode</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 posexplode {SparkR}"><tr><td>posexplode {SparkR}</td><td align="right">R Documentation</td></tr></table>
+
+<h2>posexplode</h2>
+
+<h3>Description</h3>
+
+<p>Creates a new row for each element with position in the given array or map column.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+## S4 method for signature 'Column'
+posexplode(x)
+
+posexplode(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>
+</table>
+
+
+<h3>Note</h3>
+
+<p>posexplode since 2.1.0
+</p>
+
+
+<h3>See Also</h3>
+
+<p>Other collection_funcs: <code><a href="array_contains.html">array_contains</a></code>,
+<code><a href="array_contains.html">array_contains</a></code>,
+<code><a href="array_contains.html">array_contains,Column-method</a></code>;
+<code><a href="explode.html">explode</a></code>, <code><a href="explode.html">explode</a></code>,
+<code><a href="explode.html">explode,Column-method</a></code>; <code><a href="size.html">size</a></code>,
+<code><a href="size.html">size</a></code>, <code><a href="size.html">size,Column-method</a></code>;
+<code><a href="sort_array.html">sort_array</a></code>, <code><a href="sort_array.html">sort_array</a></code>,
+<code><a href="sort_array.html">sort_array,Column-method</a></code>
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run: posexplode(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/predict.html
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diff --git a/site/docs/2.0.2/api/R/predict.html b/site/docs/2.0.2/api/R/predict.html
new file mode 100644
index 0000000..2e5eab1
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+++ b/site/docs/2.0.2/api/R/predict.html
@@ -0,0 +1,47 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
+<html><head><title>R: Makes predictions from a MLlib model</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 predict {SparkR}"><tr><td>predict {SparkR}</td><td align="right">R Documentation</td></tr></table>
+
+<h2>Makes predictions from a MLlib model</h2>
+
+<h3>Description</h3>
+
+<p>Makes predictions from a MLlib model. For more information, see the specific
+MLlib model below.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+predict(object, ...)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>object</code></td>
+<td>
+<p>a fitted ML model object.</p>
+</td></tr>
+<tr valign="top"><td><code>...</code></td>
+<td>
+<p>additional argument(s) passed to the method.</p>
+</td></tr>
+</table>
+
+
+<h3>See Also</h3>
+
+<p><a href="spark.glm.html">spark.glm</a>, <a href="glm.html">glm</a>
+</p>
+<p><a href="spark.kmeans.html">spark.kmeans</a>, <a href="spark.naiveBayes.html">spark.naiveBayes</a>, <a href="spark.survreg.html">spark.survreg</a>
+</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/print.jobj.html
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diff --git a/site/docs/2.0.2/api/R/print.jobj.html b/site/docs/2.0.2/api/R/print.jobj.html
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+++ b/site/docs/2.0.2/api/R/print.jobj.html
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+<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
+<html><head><title>R: Print a JVM object reference.</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 print.jobj {SparkR}"><tr><td>print.jobj {SparkR}</td><td align="right">R Documentation</td></tr></table>
+
+<h2>Print a JVM object reference.</h2>
+
+<h3>Description</h3>
+
+<p>This function prints the type and id for an object stored
+in the SparkR JVM backend.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+## S3 method for class 'jobj'
+print(x, ...)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>x</code></td>
+<td>
+<p>The JVM object reference</p>
+</td></tr>
+<tr valign="top"><td><code>...</code></td>
+<td>
+<p>further arguments passed to or from other methods</p>
+</td></tr>
+</table>
+
+
+<h3>Note</h3>
+
+<p>print.jobj since 1.4.0
+</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/print.structField.html
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diff --git a/site/docs/2.0.2/api/R/print.structField.html b/site/docs/2.0.2/api/R/print.structField.html
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+++ b/site/docs/2.0.2/api/R/print.structField.html
@@ -0,0 +1,46 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
+<html><head><title>R: Print a Spark StructField.</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 print.structField {SparkR}"><tr><td>print.structField {SparkR}</td><td align="right">R Documentation</td></tr></table>
+
+<h2>Print a Spark StructField.</h2>
+
+<h3>Description</h3>
+
+<p>This function prints the contents of a StructField returned from the
+SparkR JVM backend.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+## S3 method for class 'structField'
+print(x, ...)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>x</code></td>
+<td>
+<p>A StructField object</p>
+</td></tr>
+<tr valign="top"><td><code>...</code></td>
+<td>
+<p>further arguments passed to or from other methods</p>
+</td></tr>
+</table>
+
+
+<h3>Note</h3>
+
+<p>print.structField since 1.4.0
+</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/print.structType.html
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diff --git a/site/docs/2.0.2/api/R/print.structType.html b/site/docs/2.0.2/api/R/print.structType.html
new file mode 100644
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--- /dev/null
+++ b/site/docs/2.0.2/api/R/print.structType.html
@@ -0,0 +1,46 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
+<html><head><title>R: Print a Spark StructType.</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 print.structType {SparkR}"><tr><td>print.structType {SparkR}</td><td align="right">R Documentation</td></tr></table>
+
+<h2>Print a Spark StructType.</h2>
+
+<h3>Description</h3>
+
+<p>This function prints the contents of a StructType returned from the
+SparkR JVM backend.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+## S3 method for class 'structType'
+print(x, ...)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>x</code></td>
+<td>
+<p>A StructType object</p>
+</td></tr>
+<tr valign="top"><td><code>...</code></td>
+<td>
+<p>further arguments passed to or from other methods</p>
+</td></tr>
+</table>
+
+
+<h3>Note</h3>
+
+<p>print.structType since 1.4.0
+</p>
+
+<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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