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[31/51] [partial] spark-website git commit: Add docs for 2.1.0

http://git-wip-us.apache.org/repos/asf/spark-website/blob/066dfa27/site/docs/2.1.0/api/R/randomSplit.html
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+<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
+<html><head><title>R: randomSplit</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 randomSplit {SparkR}"><tr><td>randomSplit {SparkR}</td><td align="right">R Documentation</td></tr></table>
+
+<h2>randomSplit</h2>
+
+<h3>Description</h3>
+
+<p>Return a list of randomly split dataframes with the provided weights.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+## S4 method for signature 'SparkDataFrame,numeric'
+randomSplit(x, weights, seed)
+
+randomSplit(x, weights, seed)
+</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>weights</code></td>
+<td>
+<p>A vector of weights for splits, will be normalized if they don't sum to 1</p>
+</td></tr>
+<tr valign="top"><td><code>seed</code></td>
+<td>
+<p>A seed to use for random split</p>
+</td></tr>
+</table>
+
+
+<h3>Note</h3>
+
+<p>randomSplit since 2.0.0
+</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="crossJoin.html">crossJoin</a></code>,
+<code><a href="crossJoin.html">crossJoin,SparkDataFrame,SparkDataFrame-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="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-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="storageLevel.html">storageLevel</a></code>,
+<code><a href="storageLevel.html">storageLevel,SparkDataFrame-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.html">unpersist</a></code>, <code><a href="unpersist.html">unpersist</a></code>,
+<code><a href="unpersist.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 df &lt;- createDataFrame(data.frame(id = 1:1000))
+##D df_list &lt;- randomSplit(df, c(2, 3, 5), 0)
+##D # df_list contains 3 SparkDataFrames with each having about 200, 300 and 500 rows respectively
+##D sapply(df_list, count)
+## End(Not run)
+</code></pre>
+
+
+<hr><div align="center">[Package <em>SparkR</em> version 2.1.0 <a href="00Index.html">Index</a>]</div>
+</body></html>

http://git-wip-us.apache.org/repos/asf/spark-website/blob/066dfa27/site/docs/2.1.0/api/R/rangeBetween.html
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diff --git a/site/docs/2.1.0/api/R/rangeBetween.html b/site/docs/2.1.0/api/R/rangeBetween.html
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+<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
+<html><head><title>R: rangeBetween</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">
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+<script>hljs.initHighlightingOnLoad();</script>
+</head><body>
+
+<table width="100%" summary="page for rangeBetween {SparkR}"><tr><td>rangeBetween {SparkR}</td><td align="right">R Documentation</td></tr></table>
+
+<h2>rangeBetween</h2>
+
+<h3>Description</h3>
+
+<p>Defines the frame boundaries, from <code>start</code> (inclusive) to <code>end</code> (inclusive).
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+## S4 method for signature 'WindowSpec,numeric,numeric'
+rangeBetween(x, start, end)
+
+rangeBetween(x, start, end)
+</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>start</code></td>
+<td>
+<p>boundary start, inclusive.
+The frame is unbounded if this is the minimum long value.</p>
+</td></tr>
+<tr valign="top"><td><code>end</code></td>
+<td>
+<p>boundary end, inclusive.
+The frame is unbounded if this is the maximum long value.</p>
+</td></tr>
+</table>
+
+
+<h3>Details</h3>
+
+<p>Both <code>start</code> and <code>end</code> are relative from the current row. For example, &quot;0&quot; means
+&quot;current row&quot;, while &quot;-1&quot; means one off before the current row, and &quot;5&quot; means the five off
+after the current row.
+</p>
+
+
+<h3>Value</h3>
+
+<p>a WindowSpec
+</p>
+
+
+<h3>Note</h3>
+
+<p>rangeBetween 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="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="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   rangeBetween(ws, 0, 3)
+## End(Not run)
+</code></pre>
+
+
+<hr><div align="center">[Package <em>SparkR</em> version 2.1.0 <a href="00Index.html">Index</a>]</div>
+</body></html>

http://git-wip-us.apache.org/repos/asf/spark-website/blob/066dfa27/site/docs/2.1.0/api/R/rank.html
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+<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
+<html><head><title>R: 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 rank {SparkR}"><tr><td>rank {SparkR}</td><td align="right">R Documentation</td></tr></table>
+
+<h2>rank</h2>
+
+<h3>Description</h3>
+
+<p>Window function: returns the rank of rows within a window partition.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+## S4 method for signature 'missing'
+rank()
+
+## S4 method for signature 'ANY'
+rank(x, ...)
+
+rank(x, ...)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>x</code></td>
+<td>
+<p>a numeric, complex, character or logical vector.</p>
+</td></tr>
+<tr valign="top"><td><code>...</code></td>
+<td>
+<p>additional argument(s) passed to the method.</p>
+</td></tr>
+</table>
+
+
+<h3>Details</h3>
+
+<p>The difference between rank and denseRank is that denseRank leaves no gaps in ranking
+sequence when there are ties. That is, if you were ranking a competition using denseRank
+and had three people tie for second place, you would say that all three were in second
+place and that the next person came in third.
+</p>
+<p>This is equivalent to the RANK function in SQL.
+</p>
+
+
+<h3>Note</h3>
+
+<p>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="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="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(rank(), ws), df$hp, df$am)
+## End(Not run)
+</code></pre>
+
+
+<hr><div align="center">[Package <em>SparkR</em> version 2.1.0 <a href="00Index.html">Index</a>]</div>
+</body></html>

http://git-wip-us.apache.org/repos/asf/spark-website/blob/066dfa27/site/docs/2.1.0/api/R/rbind.html
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diff --git a/site/docs/2.1.0/api/R/rbind.html b/site/docs/2.1.0/api/R/rbind.html
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+<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
+<html><head><title>R: Union two or more SparkDataFrames</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 rbind {SparkR}"><tr><td>rbind {SparkR}</td><td align="right">R Documentation</td></tr></table>
+
+<h2>Union two or more SparkDataFrames</h2>
+
+<h3>Description</h3>
+
+<p>Union two or more SparkDataFrames. This is equivalent to <code>UNION ALL</code> in SQL.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+## S4 method for signature 'SparkDataFrame'
+rbind(x, ..., deparse.level = 1)
+
+rbind(..., deparse.level = 1)
+</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>additional SparkDataFrame(s).</p>
+</td></tr>
+<tr valign="top"><td><code>deparse.level</code></td>
+<td>
+<p>currently not used (put here to match the signature of
+the base implementation).</p>
+</td></tr>
+</table>
+
+
+<h3>Details</h3>
+
+<p>Note: This does not remove duplicate rows across the two SparkDataFrames.
+</p>
+
+
+<h3>Value</h3>
+
+<p>A SparkDataFrame containing the result of the union.
+</p>
+
+
+<h3>Note</h3>
+
+<p>rbind since 1.5.0
+</p>
+
+
+<h3>See Also</h3>
+
+<p><a href="union.html">union</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">$&lt;-</a></code>,
+<code><a href="select.html">$&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="crossJoin.html">crossJoin</a></code>,
+<code><a href="crossJoin.html">crossJoin,SparkDataFrame,SparkDataFrame-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="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-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="storageLevel.html">storageLevel</a></code>,
+<code><a href="storageLevel.html">storageLevel,SparkDataFrame-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.html">unpersist</a></code>, <code><a href="unpersist.html">unpersist</a></code>,
+<code><a href="unpersist.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 unions &lt;- rbind(df, df2, df3, df4)
+## End(Not run)
+</code></pre>
+
+
+<hr><div align="center">[Package <em>SparkR</em> version 2.1.0 <a href="00Index.html">Index</a>]</div>
+</body></html>

http://git-wip-us.apache.org/repos/asf/spark-website/blob/066dfa27/site/docs/2.1.0/api/R/read.df.html
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+<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
+<html><head><title>R: Load 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 read.df {SparkR}"><tr><td>read.df {SparkR}</td><td align="right">R Documentation</td></tr></table>
+
+<h2>Load a SparkDataFrame</h2>
+
+<h3>Description</h3>
+
+<p>Returns the dataset in a data source as a SparkDataFrame
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+## Default S3 method:
+read.df(path = NULL, source = NULL, schema = NULL,
+  na.strings = "NA", ...)
+
+## Default S3 method:
+loadDF(path = NULL, source = NULL, schema = NULL, ...)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>path</code></td>
+<td>
+<p>The path of files to load</p>
+</td></tr>
+<tr valign="top"><td><code>source</code></td>
+<td>
+<p>The name of external data source</p>
+</td></tr>
+<tr valign="top"><td><code>schema</code></td>
+<td>
+<p>The data schema defined in structType</p>
+</td></tr>
+<tr valign="top"><td><code>na.strings</code></td>
+<td>
+<p>Default string value for NA when source is &quot;csv&quot;</p>
+</td></tr>
+<tr valign="top"><td><code>...</code></td>
+<td>
+<p>additional external data source specific named properties.</p>
+</td></tr>
+</table>
+
+
+<h3>Details</h3>
+
+<p>The data source is specified by the <code>source</code> and a set of options(...).
+If <code>source</code> is not specified, the default data source configured by
+&quot;spark.sql.sources.default&quot; will be used. <br>
+Similar to R read.csv, when <code>source</code> is &quot;csv&quot;, by default, a value of &quot;NA&quot; will be
+interpreted as NA.
+</p>
+
+
+<h3>Value</h3>
+
+<p>SparkDataFrame
+</p>
+
+
+<h3>Note</h3>
+
+<p>read.df since 1.4.0
+</p>
+<p>loadDF since 1.6.0
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run: 
+##D sparkR.session()
+##D df1 &lt;- read.df(&quot;path/to/file.json&quot;, source = &quot;json&quot;)
+##D schema &lt;- structType(structField(&quot;name&quot;, &quot;string&quot;),
+##D                      structField(&quot;info&quot;, &quot;map&lt;string,double&gt;&quot;))
+##D df2 &lt;- read.df(mapTypeJsonPath, &quot;json&quot;, schema)
+##D df3 &lt;- loadDF(&quot;data/test_table&quot;, &quot;parquet&quot;, mergeSchema = &quot;true&quot;)
+## End(Not run)
+</code></pre>
+
+
+<hr><div align="center">[Package <em>SparkR</em> version 2.1.0 <a href="00Index.html">Index</a>]</div>
+</body></html>

http://git-wip-us.apache.org/repos/asf/spark-website/blob/066dfa27/site/docs/2.1.0/api/R/read.jdbc.html
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+<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
+<html><head><title>R: Create a SparkDataFrame representing the database table...</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 read.jdbc {SparkR}"><tr><td>read.jdbc {SparkR}</td><td align="right">R Documentation</td></tr></table>
+
+<h2>Create a SparkDataFrame representing the database table accessible via JDBC URL</h2>
+
+<h3>Description</h3>
+
+<p>Additional JDBC database connection properties can be set (...)
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+read.jdbc(url, tableName, partitionColumn = NULL, lowerBound = NULL,
+  upperBound = NULL, numPartitions = 0L, predicates = list(), ...)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>url</code></td>
+<td>
+<p>JDBC database url of the form <code>jdbc:subprotocol:subname</code></p>
+</td></tr>
+<tr valign="top"><td><code>tableName</code></td>
+<td>
+<p>the name of the table in the external database</p>
+</td></tr>
+<tr valign="top"><td><code>partitionColumn</code></td>
+<td>
+<p>the name of a column of integral type that will be used for partitioning</p>
+</td></tr>
+<tr valign="top"><td><code>lowerBound</code></td>
+<td>
+<p>the minimum value of <code>partitionColumn</code> used to decide partition stride</p>
+</td></tr>
+<tr valign="top"><td><code>upperBound</code></td>
+<td>
+<p>the maximum value of <code>partitionColumn</code> used to decide partition stride</p>
+</td></tr>
+<tr valign="top"><td><code>numPartitions</code></td>
+<td>
+<p>the number of partitions, This, along with <code>lowerBound</code> (inclusive),
+<code>upperBound</code> (exclusive), form partition strides for generated WHERE
+clause expressions used to split the column <code>partitionColumn</code> evenly.
+This defaults to SparkContext.defaultParallelism when unset.</p>
+</td></tr>
+<tr valign="top"><td><code>predicates</code></td>
+<td>
+<p>a list of conditions in the where clause; each one defines one partition</p>
+</td></tr>
+<tr valign="top"><td><code>...</code></td>
+<td>
+<p>additional JDBC database connection named properties.</p>
+</td></tr>
+</table>
+
+
+<h3>Details</h3>
+
+<p>Only one of partitionColumn or predicates should be set. Partitions of the table will be
+retrieved in parallel based on the <code>numPartitions</code> or by the predicates.
+</p>
+<p>Don't create too many partitions in parallel on a large cluster; otherwise Spark might crash
+your external database systems.
+</p>
+
+
+<h3>Value</h3>
+
+<p>SparkDataFrame
+</p>
+
+
+<h3>Note</h3>
+
+<p>read.jdbc since 2.0.0
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run: 
+##D sparkR.session()
+##D jdbcUrl &lt;- &quot;jdbc:mysql://localhost:3306/databasename&quot;
+##D df &lt;- read.jdbc(jdbcUrl, &quot;table&quot;, predicates = list(&quot;field&lt;=123&quot;), user = &quot;username&quot;)
+##D df2 &lt;- read.jdbc(jdbcUrl, &quot;table2&quot;, partitionColumn = &quot;index&quot;, lowerBound = 0,
+##D                  upperBound = 10000, user = &quot;username&quot;, password = &quot;password&quot;)
+## End(Not run)
+</code></pre>
+
+
+<hr><div align="center">[Package <em>SparkR</em> version 2.1.0 <a href="00Index.html">Index</a>]</div>
+</body></html>

http://git-wip-us.apache.org/repos/asf/spark-website/blob/066dfa27/site/docs/2.1.0/api/R/read.json.html
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+<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
+<html><head><title>R: Create a SparkDataFrame from a JSON file.</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 read.json {SparkR}"><tr><td>read.json {SparkR}</td><td align="right">R Documentation</td></tr></table>
+
+<h2>Create a SparkDataFrame from a JSON file.</h2>
+
+<h3>Description</h3>
+
+<p>Loads a JSON file (<a href="http://jsonlines.org/">JSON Lines text format or newline-delimited JSON</a>
+), returning the result as a SparkDataFrame
+It goes through the entire dataset once to determine the schema.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+## Default S3 method:
+read.json(path, ...)
+
+## Default S3 method:
+jsonFile(path)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>path</code></td>
+<td>
+<p>Path of file to read. A vector of multiple paths is allowed.</p>
+</td></tr>
+<tr valign="top"><td><code>...</code></td>
+<td>
+<p>additional external data source specific named properties.</p>
+</td></tr>
+</table>
+
+
+<h3>Value</h3>
+
+<p>SparkDataFrame
+</p>
+
+
+<h3>Note</h3>
+
+<p>read.json since 1.6.0
+</p>
+<p>jsonFile since 1.4.0
+</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 df &lt;- jsonFile(path)
+## End(Not run)
+</code></pre>
+
+
+<hr><div align="center">[Package <em>SparkR</em> version 2.1.0 <a href="00Index.html">Index</a>]</div>
+</body></html>

http://git-wip-us.apache.org/repos/asf/spark-website/blob/066dfa27/site/docs/2.1.0/api/R/read.ml.html
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+<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
+<html><head><title>R: Load a fitted MLlib model from the input path.</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 read.ml {SparkR}"><tr><td>read.ml {SparkR}</td><td align="right">R Documentation</td></tr></table>
+
+<h2>Load a fitted MLlib model from the input path.</h2>
+
+<h3>Description</h3>
+
+<p>Load a fitted MLlib model from the input path.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+read.ml(path)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>path</code></td>
+<td>
+<p>path of the model to read.</p>
+</td></tr>
+</table>
+
+
+<h3>Value</h3>
+
+<p>A fitted MLlib model.
+</p>
+
+
+<h3>Note</h3>
+
+<p>read.ml since 2.0.0
+</p>
+
+
+<h3>See Also</h3>
+
+<p><a href="write.ml.html">write.ml</a>
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run: 
+##D path &lt;- &quot;path/to/model&quot;
+##D model &lt;- read.ml(path)
+## End(Not run)
+</code></pre>
+
+
+<hr><div align="center">[Package <em>SparkR</em> version 2.1.0 <a href="00Index.html">Index</a>]</div>
+</body></html>

http://git-wip-us.apache.org/repos/asf/spark-website/blob/066dfa27/site/docs/2.1.0/api/R/read.orc.html
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+<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
+<html><head><title>R: Create a SparkDataFrame from an ORC file.</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 read.orc {SparkR}"><tr><td>read.orc {SparkR}</td><td align="right">R Documentation</td></tr></table>
+
+<h2>Create a SparkDataFrame from an ORC file.</h2>
+
+<h3>Description</h3>
+
+<p>Loads an ORC file, returning the result as a SparkDataFrame.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+read.orc(path, ...)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>path</code></td>
+<td>
+<p>Path of file to read.</p>
+</td></tr>
+<tr valign="top"><td><code>...</code></td>
+<td>
+<p>additional external data source specific named properties.</p>
+</td></tr>
+</table>
+
+
+<h3>Value</h3>
+
+<p>SparkDataFrame
+</p>
+
+
+<h3>Note</h3>
+
+<p>read.orc since 2.0.0
+</p>
+
+<hr><div align="center">[Package <em>SparkR</em> version 2.1.0 <a href="00Index.html">Index</a>]</div>
+</body></html>

http://git-wip-us.apache.org/repos/asf/spark-website/blob/066dfa27/site/docs/2.1.0/api/R/read.parquet.html
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+<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
+<html><head><title>R: Create a SparkDataFrame from a Parquet file.</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 read.parquet {SparkR}"><tr><td>read.parquet {SparkR}</td><td align="right">R Documentation</td></tr></table>
+
+<h2>Create a SparkDataFrame from a Parquet file.</h2>
+
+<h3>Description</h3>
+
+<p>Loads a Parquet file, returning the result as a SparkDataFrame.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+## Default S3 method:
+read.parquet(path, ...)
+
+## Default S3 method:
+parquetFile(...)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>path</code></td>
+<td>
+<p>path of file to read. A vector of multiple paths is allowed.</p>
+</td></tr>
+<tr valign="top"><td><code>...</code></td>
+<td>
+<p>argument(s) passed to the method.</p>
+</td></tr>
+</table>
+
+
+<h3>Value</h3>
+
+<p>SparkDataFrame
+</p>
+
+
+<h3>Note</h3>
+
+<p>read.parquet since 1.6.0
+</p>
+<p>parquetFile since 1.4.0
+</p>
+
+<hr><div align="center">[Package <em>SparkR</em> version 2.1.0 <a href="00Index.html">Index</a>]</div>
+</body></html>

http://git-wip-us.apache.org/repos/asf/spark-website/blob/066dfa27/site/docs/2.1.0/api/R/read.text.html
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+<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
+<html><head><title>R: Create a SparkDataFrame from a text file.</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 read.text {SparkR}"><tr><td>read.text {SparkR}</td><td align="right">R Documentation</td></tr></table>
+
+<h2>Create a SparkDataFrame from a text file.</h2>
+
+<h3>Description</h3>
+
+<p>Loads text files and returns a SparkDataFrame whose schema starts with
+a string column named &quot;value&quot;, and followed by partitioned columns if
+there are any.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+## Default S3 method:
+read.text(path, ...)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>path</code></td>
+<td>
+<p>Path of file to read. A vector of multiple paths is allowed.</p>
+</td></tr>
+<tr valign="top"><td><code>...</code></td>
+<td>
+<p>additional external data source specific named properties.</p>
+</td></tr>
+</table>
+
+
+<h3>Details</h3>
+
+<p>Each line in the text file is a new row in the resulting SparkDataFrame.
+</p>
+
+
+<h3>Value</h3>
+
+<p>SparkDataFrame
+</p>
+
+
+<h3>Note</h3>
+
+<p>read.text since 1.6.1
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run: 
+##D sparkR.session()
+##D path &lt;- &quot;path/to/file.txt&quot;
+##D df &lt;- read.text(path)
+## End(Not run)
+</code></pre>
+
+
+<hr><div align="center">[Package <em>SparkR</em> version 2.1.0 <a href="00Index.html">Index</a>]</div>
+</body></html>

http://git-wip-us.apache.org/repos/asf/spark-website/blob/066dfa27/site/docs/2.1.0/api/R/regexp_extract.html
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+<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
+<html><head><title>R: regexp_extract</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 regexp_extract {SparkR}"><tr><td>regexp_extract {SparkR}</td><td align="right">R Documentation</td></tr></table>
+
+<h2>regexp_extract</h2>
+
+<h3>Description</h3>
+
+<p>Extract a specific <code>idx</code> group identified by a Java regex, from the specified string column.
+If the regex did not match, or the specified group did not match, an empty string is returned.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+## S4 method for signature 'Column,character,numeric'
+regexp_extract(x, pattern, idx)
+
+regexp_extract(x, pattern, idx)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>x</code></td>
+<td>
+<p>a string Column.</p>
+</td></tr>
+<tr valign="top"><td><code>pattern</code></td>
+<td>
+<p>a regular expression.</p>
+</td></tr>
+<tr valign="top"><td><code>idx</code></td>
+<td>
+<p>a group index.</p>
+</td></tr>
+</table>
+
+
+<h3>Note</h3>
+
+<p>regexp_extract since 1.5.0
+</p>
+
+
+<h3>See Also</h3>
+
+<p>Other string_funcs: <code><a href="ascii.html">ascii</a></code>,
+<code><a href="ascii.html">ascii</a></code>, <code><a href="ascii.html">ascii,Column-method</a></code>;
+<code><a href="base64.html">base64</a></code>, <code><a href="base64.html">base64</a></code>,
+<code><a href="base64.html">base64,Column-method</a></code>;
+<code><a href="concat_ws.html">concat_ws</a></code>, <code><a href="concat_ws.html">concat_ws</a></code>,
+<code><a href="concat_ws.html">concat_ws,character,Column-method</a></code>;
+<code><a href="concat.html">concat</a></code>, <code><a href="concat.html">concat</a></code>,
+<code><a href="concat.html">concat,Column-method</a></code>; <code><a href="decode.html">decode</a></code>,
+<code><a href="decode.html">decode</a></code>,
+<code><a href="decode.html">decode,Column,character-method</a></code>;
+<code><a href="encode.html">encode</a></code>, <code><a href="encode.html">encode</a></code>,
+<code><a href="encode.html">encode,Column,character-method</a></code>;
+<code><a href="format_number.html">format_number</a></code>, <code><a href="format_number.html">format_number</a></code>,
+<code><a href="format_number.html">format_number,Column,numeric-method</a></code>;
+<code><a href="format_string.html">format_string</a></code>, <code><a href="format_string.html">format_string</a></code>,
+<code><a href="format_string.html">format_string,character,Column-method</a></code>;
+<code><a href="initcap.html">initcap</a></code>, <code><a href="initcap.html">initcap</a></code>,
+<code><a href="initcap.html">initcap,Column-method</a></code>; <code><a href="instr.html">instr</a></code>,
+<code><a href="instr.html">instr</a></code>,
+<code><a href="instr.html">instr,Column,character-method</a></code>;
+<code><a href="length.html">length</a></code>, <code><a href="length.html">length,Column-method</a></code>;
+<code><a href="levenshtein.html">levenshtein</a></code>, <code><a href="levenshtein.html">levenshtein</a></code>,
+<code><a href="levenshtein.html">levenshtein,Column-method</a></code>;
+<code><a href="locate.html">locate</a></code>, <code><a href="locate.html">locate</a></code>,
+<code><a href="locate.html">locate,character,Column-method</a></code>;
+<code><a href="lower.html">lower</a></code>, <code><a href="lower.html">lower</a></code>,
+<code><a href="lower.html">lower,Column-method</a></code>; <code><a href="lpad.html">lpad</a></code>,
+<code><a href="lpad.html">lpad</a></code>,
+<code><a href="lpad.html">lpad,Column,numeric,character-method</a></code>;
+<code><a href="ltrim.html">ltrim</a></code>, <code><a href="ltrim.html">ltrim</a></code>,
+<code><a href="ltrim.html">ltrim,Column-method</a></code>;
+<code><a href="regexp_replace.html">regexp_replace</a></code>,
+<code><a href="regexp_replace.html">regexp_replace</a></code>,
+<code><a href="regexp_replace.html">regexp_replace,Column,character,character-method</a></code>;
+<code><a href="reverse.html">reverse</a></code>, <code><a href="reverse.html">reverse</a></code>,
+<code><a href="reverse.html">reverse,Column-method</a></code>; <code><a href="rpad.html">rpad</a></code>,
+<code><a href="rpad.html">rpad</a></code>,
+<code><a href="rpad.html">rpad,Column,numeric,character-method</a></code>;
+<code><a href="rtrim.html">rtrim</a></code>, <code><a href="rtrim.html">rtrim</a></code>,
+<code><a href="rtrim.html">rtrim,Column-method</a></code>; <code><a href="soundex.html">soundex</a></code>,
+<code><a href="soundex.html">soundex</a></code>,
+<code><a href="soundex.html">soundex,Column-method</a></code>;
+<code><a href="substring_index.html">substring_index</a></code>,
+<code><a href="substring_index.html">substring_index</a></code>,
+<code><a href="substring_index.html">substring_index,Column,character,numeric-method</a></code>;
+<code><a href="translate.html">translate</a></code>, <code><a href="translate.html">translate</a></code>,
+<code><a href="translate.html">translate,Column,character,character-method</a></code>;
+<code><a href="trim.html">trim</a></code>, <code><a href="trim.html">trim</a></code>,
+<code><a href="trim.html">trim,Column-method</a></code>; <code><a href="unbase64.html">unbase64</a></code>,
+<code><a href="unbase64.html">unbase64</a></code>,
+<code><a href="unbase64.html">unbase64,Column-method</a></code>;
+<code><a href="upper.html">upper</a></code>, <code><a href="upper.html">upper</a></code>,
+<code><a href="upper.html">upper,Column-method</a></code>
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run: regexp_extract(df$c, &#39;(\d+)-(\d+)&#39;, 1)
+</code></pre>
+
+
+<hr><div align="center">[Package <em>SparkR</em> version 2.1.0 <a href="00Index.html">Index</a>]</div>
+</body></html>

http://git-wip-us.apache.org/repos/asf/spark-website/blob/066dfa27/site/docs/2.1.0/api/R/regexp_replace.html
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diff --git a/site/docs/2.1.0/api/R/regexp_replace.html b/site/docs/2.1.0/api/R/regexp_replace.html
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+<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
+<html><head><title>R: regexp_replace</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 regexp_replace {SparkR}"><tr><td>regexp_replace {SparkR}</td><td align="right">R Documentation</td></tr></table>
+
+<h2>regexp_replace</h2>
+
+<h3>Description</h3>
+
+<p>Replace all substrings of the specified string value that match regexp with rep.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+## S4 method for signature 'Column,character,character'
+regexp_replace(x, pattern, replacement)
+
+regexp_replace(x, pattern, replacement)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>x</code></td>
+<td>
+<p>a string Column.</p>
+</td></tr>
+<tr valign="top"><td><code>pattern</code></td>
+<td>
+<p>a regular expression.</p>
+</td></tr>
+<tr valign="top"><td><code>replacement</code></td>
+<td>
+<p>a character string that a matched <code>pattern</code> is replaced with.</p>
+</td></tr>
+</table>
+
+
+<h3>Note</h3>
+
+<p>regexp_replace since 1.5.0
+</p>
+
+
+<h3>See Also</h3>
+
+<p>Other string_funcs: <code><a href="ascii.html">ascii</a></code>,
+<code><a href="ascii.html">ascii</a></code>, <code><a href="ascii.html">ascii,Column-method</a></code>;
+<code><a href="base64.html">base64</a></code>, <code><a href="base64.html">base64</a></code>,
+<code><a href="base64.html">base64,Column-method</a></code>;
+<code><a href="concat_ws.html">concat_ws</a></code>, <code><a href="concat_ws.html">concat_ws</a></code>,
+<code><a href="concat_ws.html">concat_ws,character,Column-method</a></code>;
+<code><a href="concat.html">concat</a></code>, <code><a href="concat.html">concat</a></code>,
+<code><a href="concat.html">concat,Column-method</a></code>; <code><a href="decode.html">decode</a></code>,
+<code><a href="decode.html">decode</a></code>,
+<code><a href="decode.html">decode,Column,character-method</a></code>;
+<code><a href="encode.html">encode</a></code>, <code><a href="encode.html">encode</a></code>,
+<code><a href="encode.html">encode,Column,character-method</a></code>;
+<code><a href="format_number.html">format_number</a></code>, <code><a href="format_number.html">format_number</a></code>,
+<code><a href="format_number.html">format_number,Column,numeric-method</a></code>;
+<code><a href="format_string.html">format_string</a></code>, <code><a href="format_string.html">format_string</a></code>,
+<code><a href="format_string.html">format_string,character,Column-method</a></code>;
+<code><a href="initcap.html">initcap</a></code>, <code><a href="initcap.html">initcap</a></code>,
+<code><a href="initcap.html">initcap,Column-method</a></code>; <code><a href="instr.html">instr</a></code>,
+<code><a href="instr.html">instr</a></code>,
+<code><a href="instr.html">instr,Column,character-method</a></code>;
+<code><a href="length.html">length</a></code>, <code><a href="length.html">length,Column-method</a></code>;
+<code><a href="levenshtein.html">levenshtein</a></code>, <code><a href="levenshtein.html">levenshtein</a></code>,
+<code><a href="levenshtein.html">levenshtein,Column-method</a></code>;
+<code><a href="locate.html">locate</a></code>, <code><a href="locate.html">locate</a></code>,
+<code><a href="locate.html">locate,character,Column-method</a></code>;
+<code><a href="lower.html">lower</a></code>, <code><a href="lower.html">lower</a></code>,
+<code><a href="lower.html">lower,Column-method</a></code>; <code><a href="lpad.html">lpad</a></code>,
+<code><a href="lpad.html">lpad</a></code>,
+<code><a href="lpad.html">lpad,Column,numeric,character-method</a></code>;
+<code><a href="ltrim.html">ltrim</a></code>, <code><a href="ltrim.html">ltrim</a></code>,
+<code><a href="ltrim.html">ltrim,Column-method</a></code>;
+<code><a href="regexp_extract.html">regexp_extract</a></code>,
+<code><a href="regexp_extract.html">regexp_extract</a></code>,
+<code><a href="regexp_extract.html">regexp_extract,Column,character,numeric-method</a></code>;
+<code><a href="reverse.html">reverse</a></code>, <code><a href="reverse.html">reverse</a></code>,
+<code><a href="reverse.html">reverse,Column-method</a></code>; <code><a href="rpad.html">rpad</a></code>,
+<code><a href="rpad.html">rpad</a></code>,
+<code><a href="rpad.html">rpad,Column,numeric,character-method</a></code>;
+<code><a href="rtrim.html">rtrim</a></code>, <code><a href="rtrim.html">rtrim</a></code>,
+<code><a href="rtrim.html">rtrim,Column-method</a></code>; <code><a href="soundex.html">soundex</a></code>,
+<code><a href="soundex.html">soundex</a></code>,
+<code><a href="soundex.html">soundex,Column-method</a></code>;
+<code><a href="substring_index.html">substring_index</a></code>,
+<code><a href="substring_index.html">substring_index</a></code>,
+<code><a href="substring_index.html">substring_index,Column,character,numeric-method</a></code>;
+<code><a href="translate.html">translate</a></code>, <code><a href="translate.html">translate</a></code>,
+<code><a href="translate.html">translate,Column,character,character-method</a></code>;
+<code><a href="trim.html">trim</a></code>, <code><a href="trim.html">trim</a></code>,
+<code><a href="trim.html">trim,Column-method</a></code>; <code><a href="unbase64.html">unbase64</a></code>,
+<code><a href="unbase64.html">unbase64</a></code>,
+<code><a href="unbase64.html">unbase64,Column-method</a></code>;
+<code><a href="upper.html">upper</a></code>, <code><a href="upper.html">upper</a></code>,
+<code><a href="upper.html">upper,Column-method</a></code>
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run: regexp_replace(df$c, &#39;(\\d+)&#39;, &#39;--&#39;)
+</code></pre>
+
+
+<hr><div align="center">[Package <em>SparkR</em> version 2.1.0 <a href="00Index.html">Index</a>]</div>
+</body></html>


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