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+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" 
"http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd";><html 
xmlns="http://www.w3.org/1999/xhtml";><head><title>R: Filter</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 filter {SparkR}"><tr><td>filter 
{SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>Filter</h2>
+
+<h3>Description</h3>
+
+<p>Filter the rows of a SparkDataFrame according to a given condition.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+filter(x, condition)
+
+where(x, condition)
+
+## S4 method for signature 'SparkDataFrame,characterOrColumn'
+filter(x, condition)
+
+## S4 method for signature 'SparkDataFrame,characterOrColumn'
+where(x, condition)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>x</code></td>
+<td>
+<p>A SparkDataFrame to be sorted.</p>
+</td></tr>
+<tr valign="top"><td><code>condition</code></td>
+<td>
+<p>The condition to filter on. This may either be a Column expression
+or a string containing a SQL statement</p>
+</td></tr>
+</table>
+
+
+<h3>Value</h3>
+
+<p>A SparkDataFrame containing only the rows that meet the condition.
+</p>
+
+
+<h3>Note</h3>
+
+<p>filter since 1.4.0
+</p>
+<p>where since 1.4.0
+</p>
+
+
+<h3>See Also</h3>
+
+<p>Other SparkDataFrame functions: <code><a 
href="SparkDataFrame.html">SparkDataFrame-class</a></code>,
+<code><a href="summarize.html">agg</a></code>, <code><a 
href="arrange.html">arrange</a></code>,
+<code><a href="as.data.frame.html">as.data.frame</a></code>, <code><a 
href="attach.html">attach</a></code>,
+<code><a href="cache.html">cache</a></code>, <code><a 
href="coalesce.html">coalesce</a></code>,
+<code><a href="collect.html">collect</a></code>, <code><a 
href="columns.html">colnames</a></code>,
+<code><a href="coltypes.html">coltypes</a></code>,
+<code><a 
href="createOrReplaceTempView.html">createOrReplaceTempView</a></code>,
+<code><a href="crossJoin.html">crossJoin</a></code>, <code><a 
href="dapplyCollect.html">dapplyCollect</a></code>,
+<code><a href="dapply.html">dapply</a></code>, <code><a 
href="summary.html">describe</a></code>,
+<code><a href="dim.html">dim</a></code>, <code><a 
href="distinct.html">distinct</a></code>,
+<code><a href="dropDuplicates.html">dropDuplicates</a></code>, <code><a 
href="nafunctions.html">dropna</a></code>,
+<code><a href="drop.html">drop</a></code>, <code><a 
href="dtypes.html">dtypes</a></code>,
+<code><a href="except.html">except</a></code>, <code><a 
href="explain.html">explain</a></code>,
+<code><a href="first.html">first</a></code>, <code><a 
href="gapplyCollect.html">gapplyCollect</a></code>,
+<code><a href="gapply.html">gapply</a></code>, <code><a 
href="getNumPartitions.html">getNumPartitions</a></code>,
+<code><a href="groupBy.html">group_by</a></code>, <code><a 
href="head.html">head</a></code>,
+<code><a href="histogram.html">histogram</a></code>, <code><a 
href="insertInto.html">insertInto</a></code>,
+<code><a href="intersect.html">intersect</a></code>, <code><a 
href="isLocal.html">isLocal</a></code>,
+<code><a href="join.html">join</a></code>, <code><a 
href="limit.html">limit</a></code>,
+<code><a href="merge.html">merge</a></code>, <code><a 
href="mutate.html">mutate</a></code>,
+<code><a href="ncol.html">ncol</a></code>, <code><a 
href="nrow.html">nrow</a></code>,
+<code><a href="persist.html">persist</a></code>, <code><a 
href="printSchema.html">printSchema</a></code>,
+<code><a href="randomSplit.html">randomSplit</a></code>, <code><a 
href="rbind.html">rbind</a></code>,
+<code><a 
href="registerTempTable-deprecated.html">registerTempTable</a></code>, <code><a 
href="rename.html">rename</a></code>,
+<code><a href="repartition.html">repartition</a></code>, <code><a 
href="sample.html">sample</a></code>,
+<code><a href="saveAsTable.html">saveAsTable</a></code>, <code><a 
href="schema.html">schema</a></code>,
+<code><a href="selectExpr.html">selectExpr</a></code>, <code><a 
href="select.html">select</a></code>,
+<code><a href="showDF.html">showDF</a></code>, <code><a 
href="show.html">show</a></code>,
+<code><a href="storageLevel.html">storageLevel</a></code>, <code><a 
href="str.html">str</a></code>,
+<code><a href="subset.html">subset</a></code>, <code><a 
href="take.html">take</a></code>,
+<code><a href="union.html">union</a></code>, <code><a 
href="unpersist.html">unpersist</a></code>,
+<code><a href="withColumn.html">withColumn</a></code>, <code><a 
href="with.html">with</a></code>,
+<code><a href="write.df.html">write.df</a></code>, <code><a 
href="write.jdbc.html">write.jdbc</a></code>,
+<code><a href="write.json.html">write.json</a></code>, <code><a 
href="write.orc.html">write.orc</a></code>,
+<code><a href="write.parquet.html">write.parquet</a></code>, <code><a 
href="write.text.html">write.text</a></code>
+</p>
+<p>Other subsetting functions: <code><a href="select.html">select</a></code>,
+<code><a href="subset.html">subset</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 filter(df, &quot;col1 &gt; 0&quot;)
+##D filter(df, df$col2 != &quot;abcdefg&quot;)
+## End(Not run)
+</code></pre>
+
+
+<hr /><div style="text-align: center;">[Package <em>SparkR</em> version 2.1.3 
<a href="00Index.html">Index</a>]</div>
+</body></html>

http://git-wip-us.apache.org/repos/asf/spark-website/blob/3a634959/site/docs/2.1.3/api/R/first.html
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+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" 
"http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd";><html 
xmlns="http://www.w3.org/1999/xhtml";><head><title>R: Return the first row of 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 first {SparkR}"><tr><td>first 
{SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>Return the first row of a SparkDataFrame</h2>
+
+<h3>Description</h3>
+
+<p>Return the first row of a SparkDataFrame
+</p>
+<p>Aggregate function: returns the first value in a group.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+first(x, ...)
+
+## S4 method for signature 'SparkDataFrame'
+first(x)
+
+## S4 method for signature 'characterOrColumn'
+first(x, na.rm = FALSE)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>x</code></td>
+<td>
+<p>a SparkDataFrame or a column used in aggregation function.</p>
+</td></tr>
+<tr valign="top"><td><code>...</code></td>
+<td>
+<p>further arguments to be passed to or from other methods.</p>
+</td></tr>
+<tr valign="top"><td><code>na.rm</code></td>
+<td>
+<p>a logical value indicating whether NA values should be stripped
+before the computation proceeds.</p>
+</td></tr>
+</table>
+
+
+<h3>Details</h3>
+
+<p>The function by default returns the first values it sees. It will return 
the first non-missing
+value it sees when na.rm is set to true. If all values are missing, then NA is 
returned.
+</p>
+
+
+<h3>Note</h3>
+
+<p>first(SparkDataFrame) since 1.4.0
+</p>
+<p>first(characterOrColumn) since 1.4.0
+</p>
+
+
+<h3>See Also</h3>
+
+<p>Other SparkDataFrame functions: <code><a 
href="SparkDataFrame.html">SparkDataFrame-class</a></code>,
+<code><a href="summarize.html">agg</a></code>, <code><a 
href="arrange.html">arrange</a></code>,
+<code><a href="as.data.frame.html">as.data.frame</a></code>, <code><a 
href="attach.html">attach</a></code>,
+<code><a href="cache.html">cache</a></code>, <code><a 
href="coalesce.html">coalesce</a></code>,
+<code><a href="collect.html">collect</a></code>, <code><a 
href="columns.html">colnames</a></code>,
+<code><a href="coltypes.html">coltypes</a></code>,
+<code><a 
href="createOrReplaceTempView.html">createOrReplaceTempView</a></code>,
+<code><a href="crossJoin.html">crossJoin</a></code>, <code><a 
href="dapplyCollect.html">dapplyCollect</a></code>,
+<code><a href="dapply.html">dapply</a></code>, <code><a 
href="summary.html">describe</a></code>,
+<code><a href="dim.html">dim</a></code>, <code><a 
href="distinct.html">distinct</a></code>,
+<code><a href="dropDuplicates.html">dropDuplicates</a></code>, <code><a 
href="nafunctions.html">dropna</a></code>,
+<code><a href="drop.html">drop</a></code>, <code><a 
href="dtypes.html">dtypes</a></code>,
+<code><a href="except.html">except</a></code>, <code><a 
href="explain.html">explain</a></code>,
+<code><a href="filter.html">filter</a></code>, <code><a 
href="gapplyCollect.html">gapplyCollect</a></code>,
+<code><a href="gapply.html">gapply</a></code>, <code><a 
href="getNumPartitions.html">getNumPartitions</a></code>,
+<code><a href="groupBy.html">group_by</a></code>, <code><a 
href="head.html">head</a></code>,
+<code><a href="histogram.html">histogram</a></code>, <code><a 
href="insertInto.html">insertInto</a></code>,
+<code><a href="intersect.html">intersect</a></code>, <code><a 
href="isLocal.html">isLocal</a></code>,
+<code><a href="join.html">join</a></code>, <code><a 
href="limit.html">limit</a></code>,
+<code><a href="merge.html">merge</a></code>, <code><a 
href="mutate.html">mutate</a></code>,
+<code><a href="ncol.html">ncol</a></code>, <code><a 
href="nrow.html">nrow</a></code>,
+<code><a href="persist.html">persist</a></code>, <code><a 
href="printSchema.html">printSchema</a></code>,
+<code><a href="randomSplit.html">randomSplit</a></code>, <code><a 
href="rbind.html">rbind</a></code>,
+<code><a 
href="registerTempTable-deprecated.html">registerTempTable</a></code>, <code><a 
href="rename.html">rename</a></code>,
+<code><a href="repartition.html">repartition</a></code>, <code><a 
href="sample.html">sample</a></code>,
+<code><a href="saveAsTable.html">saveAsTable</a></code>, <code><a 
href="schema.html">schema</a></code>,
+<code><a href="selectExpr.html">selectExpr</a></code>, <code><a 
href="select.html">select</a></code>,
+<code><a href="showDF.html">showDF</a></code>, <code><a 
href="show.html">show</a></code>,
+<code><a href="storageLevel.html">storageLevel</a></code>, <code><a 
href="str.html">str</a></code>,
+<code><a href="subset.html">subset</a></code>, <code><a 
href="take.html">take</a></code>,
+<code><a href="union.html">union</a></code>, <code><a 
href="unpersist.html">unpersist</a></code>,
+<code><a href="withColumn.html">withColumn</a></code>, <code><a 
href="with.html">with</a></code>,
+<code><a href="write.df.html">write.df</a></code>, <code><a 
href="write.jdbc.html">write.jdbc</a></code>,
+<code><a href="write.json.html">write.json</a></code>, <code><a 
href="write.orc.html">write.orc</a></code>,
+<code><a href="write.parquet.html">write.parquet</a></code>, <code><a 
href="write.text.html">write.text</a></code>
+</p>
+<p>Other agg_funcs: <code><a href="summarize.html">agg</a></code>, <code><a 
href="avg.html">avg</a></code>,
+<code><a href="countDistinct.html">countDistinct</a></code>, <code><a 
href="count.html">count</a></code>,
+<code><a href="kurtosis.html">kurtosis</a></code>, <code><a 
href="last.html">last</a></code>,
+<code><a href="max.html">max</a></code>, <code><a 
href="mean.html">mean</a></code>, <code><a href="min.html">min</a></code>,
+<code><a href="sd.html">sd</a></code>, <code><a 
href="skewness.html">skewness</a></code>,
+<code><a href="stddev_pop.html">stddev_pop</a></code>, <code><a 
href="stddev_samp.html">stddev_samp</a></code>,
+<code><a href="sumDistinct.html">sumDistinct</a></code>, <code><a 
href="sum.html">sum</a></code>,
+<code><a href="var_pop.html">var_pop</a></code>, <code><a 
href="var_samp.html">var_samp</a></code>,
+<code><a href="var.html">var</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 first(df)
+## End(Not run)
+## Not run: 
+##D first(df$c)
+##D first(df$c, TRUE)
+## End(Not run)
+</code></pre>
+
+
+<hr /><div style="text-align: center;">[Package <em>SparkR</em> version 2.1.3 
<a href="00Index.html">Index</a>]</div>
+</body></html>

http://git-wip-us.apache.org/repos/asf/spark-website/blob/3a634959/site/docs/2.1.3/api/R/fitted.html
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+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" 
"http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd";><html 
xmlns="http://www.w3.org/1999/xhtml";><head><title>R: Get fitted result from a 
k-means model</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 fitted {SparkR}"><tr><td>fitted 
{SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>Get fitted result from a k-means model</h2>
+
+<h3>Description</h3>
+
+<p>Get fitted result from a k-means model, similarly to R's fitted().
+Note: A saved-loaded model does not support this method.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+fitted(object, ...)
+
+## S4 method for signature 'KMeansModel'
+fitted(object, method = c("centers", "classes"))
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>object</code></td>
+<td>
+<p>a fitted k-means model.</p>
+</td></tr>
+<tr valign="top"><td><code>...</code></td>
+<td>
+<p>additional argument(s) passed to the method.</p>
+</td></tr>
+<tr valign="top"><td><code>method</code></td>
+<td>
+<p>type of fitted results, <code>"centers"</code> for cluster centers
+or <code>"classes"</code> for assigned classes.</p>
+</td></tr>
+</table>
+
+
+<h3>Value</h3>
+
+<p><code>fitted</code> returns a SparkDataFrame containing fitted values.
+</p>
+
+
+<h3>Note</h3>
+
+<p>fitted since 2.0.0
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run: 
+##D model &lt;- spark.kmeans(trainingData, ~ ., 2)
+##D fitted.model &lt;- fitted(model)
+##D showDF(fitted.model)
+## End(Not run)
+</code></pre>
+
+
+<hr /><div style="text-align: center;">[Package <em>SparkR</em> version 2.1.3 
<a href="00Index.html">Index</a>]</div>
+</body></html>

http://git-wip-us.apache.org/repos/asf/spark-website/blob/3a634959/site/docs/2.1.3/api/R/floor.html
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diff --git a/site/docs/2.1.3/api/R/floor.html b/site/docs/2.1.3/api/R/floor.html
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+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" 
"http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd";><html 
xmlns="http://www.w3.org/1999/xhtml";><head><title>R: floor</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 floor {SparkR}"><tr><td>floor 
{SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>floor</h2>
+
+<h3>Description</h3>
+
+<p>Computes the floor of the given value.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+## S4 method for signature 'Column'
+floor(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>floor since 1.5.0
+</p>
+
+
+<h3>See Also</h3>
+
+<p>Other math_funcs: <code><a href="acos.html">acos</a></code>, <code><a 
href="asin.html">asin</a></code>,
+<code><a href="atan2.html">atan2</a></code>, <code><a 
href="atan.html">atan</a></code>,
+<code><a href="bin.html">bin</a></code>, <code><a 
href="bround.html">bround</a></code>,
+<code><a href="cbrt.html">cbrt</a></code>, <code><a 
href="ceil.html">ceil</a></code>,
+<code><a href="conv.html">conv</a></code>, <code><a 
href="corr.html">corr</a></code>,
+<code><a href="cosh.html">cosh</a></code>, <code><a 
href="cos.html">cos</a></code>,
+<code><a href="covar_pop.html">covar_pop</a></code>, <code><a 
href="cov.html">cov</a></code>,
+<code><a href="expm1.html">expm1</a></code>, <code><a 
href="exp.html">exp</a></code>,
+<code><a href="factorial.html">factorial</a></code>, <code><a 
href="hex.html">hex</a></code>,
+<code><a href="hypot.html">hypot</a></code>, <code><a 
href="log10.html">log10</a></code>,
+<code><a href="log1p.html">log1p</a></code>, <code><a 
href="log2.html">log2</a></code>,
+<code><a href="log.html">log</a></code>, <code><a 
href="pmod.html">pmod</a></code>,
+<code><a href="rint.html">rint</a></code>, <code><a 
href="round.html">round</a></code>,
+<code><a href="shiftLeft.html">shiftLeft</a></code>,
+<code><a href="shiftRightUnsigned.html">shiftRightUnsigned</a></code>,
+<code><a href="shiftRight.html">shiftRight</a></code>, <code><a 
href="sign.html">signum</a></code>,
+<code><a href="sinh.html">sinh</a></code>, <code><a 
href="sin.html">sin</a></code>,
+<code><a href="sqrt.html">sqrt</a></code>, <code><a 
href="tanh.html">tanh</a></code>,
+<code><a href="tan.html">tan</a></code>, <code><a 
href="toDegrees.html">toDegrees</a></code>,
+<code><a href="toRadians.html">toRadians</a></code>, <code><a 
href="unhex.html">unhex</a></code>
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run: floor(df$c)
+</code></pre>
+
+
+<hr /><div style="text-align: center;">[Package <em>SparkR</em> version 2.1.3 
<a href="00Index.html">Index</a>]</div>
+</body></html>

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+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" 
"http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd";><html 
xmlns="http://www.w3.org/1999/xhtml";><head><title>R: format_number</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 format_number 
{SparkR}"><tr><td>format_number {SparkR}</td><td style="text-align: right;">R 
Documentation</td></tr></table>
+
+<h2>format_number</h2>
+
+<h3>Description</h3>
+
+<p>Formats numeric column y to a format like '#,###,###.##', rounded to x 
decimal places,
+and returns the result as a string column.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+format_number(y, x)
+
+## S4 method for signature 'Column,numeric'
+format_number(y, x)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>y</code></td>
+<td>
+<p>column to format</p>
+</td></tr>
+<tr valign="top"><td><code>x</code></td>
+<td>
+<p>number of decimal place to format to</p>
+</td></tr>
+</table>
+
+
+<h3>Details</h3>
+
+<p>If x is 0, the result has no decimal point or fractional part.
+If x &lt; 0, the result will be null.
+</p>
+
+
+<h3>Note</h3>
+
+<p>format_number since 1.5.0
+</p>
+
+
+<h3>See Also</h3>
+
+<p>Other string_funcs: <code><a href="ascii.html">ascii</a></code>,
+<code><a href="base64.html">base64</a></code>, <code><a 
href="concat_ws.html">concat_ws</a></code>,
+<code><a href="concat.html">concat</a></code>, <code><a 
href="decode.html">decode</a></code>,
+<code><a href="encode.html">encode</a></code>, <code><a 
href="format_string.html">format_string</a></code>,
+<code><a href="initcap.html">initcap</a></code>, <code><a 
href="instr.html">instr</a></code>,
+<code><a href="length.html">length</a></code>, <code><a 
href="levenshtein.html">levenshtein</a></code>,
+<code><a href="locate.html">locate</a></code>, <code><a 
href="lower.html">lower</a></code>,
+<code><a href="lpad.html">lpad</a></code>, <code><a 
href="ltrim.html">ltrim</a></code>,
+<code><a href="regexp_extract.html">regexp_extract</a></code>,
+<code><a href="regexp_replace.html">regexp_replace</a></code>, <code><a 
href="reverse.html">reverse</a></code>,
+<code><a href="rpad.html">rpad</a></code>, <code><a 
href="rtrim.html">rtrim</a></code>,
+<code><a href="soundex.html">soundex</a></code>, <code><a 
href="substring_index.html">substring_index</a></code>,
+<code><a href="translate.html">translate</a></code>, <code><a 
href="trim.html">trim</a></code>,
+<code><a href="unbase64.html">unbase64</a></code>, <code><a 
href="upper.html">upper</a></code>
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run: format_number(df$n, 4)
+</code></pre>
+
+
+<hr /><div style="text-align: center;">[Package <em>SparkR</em> version 2.1.3 
<a href="00Index.html">Index</a>]</div>
+</body></html>

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+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" 
"http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd";><html 
xmlns="http://www.w3.org/1999/xhtml";><head><title>R: format_string</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 format_string 
{SparkR}"><tr><td>format_string {SparkR}</td><td style="text-align: right;">R 
Documentation</td></tr></table>
+
+<h2>format_string</h2>
+
+<h3>Description</h3>
+
+<p>Formats the arguments in printf-style and returns the result as a string 
column.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+format_string(format, x, ...)
+
+## S4 method for signature 'character,Column'
+format_string(format, x, ...)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>format</code></td>
+<td>
+<p>a character object of format strings.</p>
+</td></tr>
+<tr valign="top"><td><code>x</code></td>
+<td>
+<p>a Column.</p>
+</td></tr>
+<tr valign="top"><td><code>...</code></td>
+<td>
+<p>additional Column(s).</p>
+</td></tr>
+</table>
+
+
+<h3>Note</h3>
+
+<p>format_string since 1.5.0
+</p>
+
+
+<h3>See Also</h3>
+
+<p>Other string_funcs: <code><a href="ascii.html">ascii</a></code>,
+<code><a href="base64.html">base64</a></code>, <code><a 
href="concat_ws.html">concat_ws</a></code>,
+<code><a href="concat.html">concat</a></code>, <code><a 
href="decode.html">decode</a></code>,
+<code><a href="encode.html">encode</a></code>, <code><a 
href="format_number.html">format_number</a></code>,
+<code><a href="initcap.html">initcap</a></code>, <code><a 
href="instr.html">instr</a></code>,
+<code><a href="length.html">length</a></code>, <code><a 
href="levenshtein.html">levenshtein</a></code>,
+<code><a href="locate.html">locate</a></code>, <code><a 
href="lower.html">lower</a></code>,
+<code><a href="lpad.html">lpad</a></code>, <code><a 
href="ltrim.html">ltrim</a></code>,
+<code><a href="regexp_extract.html">regexp_extract</a></code>,
+<code><a href="regexp_replace.html">regexp_replace</a></code>, <code><a 
href="reverse.html">reverse</a></code>,
+<code><a href="rpad.html">rpad</a></code>, <code><a 
href="rtrim.html">rtrim</a></code>,
+<code><a href="soundex.html">soundex</a></code>, <code><a 
href="substring_index.html">substring_index</a></code>,
+<code><a href="translate.html">translate</a></code>, <code><a 
href="trim.html">trim</a></code>,
+<code><a href="unbase64.html">unbase64</a></code>, <code><a 
href="upper.html">upper</a></code>
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run: format_string(&#39;%d %s&#39;, df$a, df$b)
+</code></pre>
+
+
+<hr /><div style="text-align: center;">[Package <em>SparkR</em> version 2.1.3 
<a href="00Index.html">Index</a>]</div>
+</body></html>

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+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" 
"http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd";><html 
xmlns="http://www.w3.org/1999/xhtml";><head><title>R: Finding frequent items for 
columns, possibly with false...</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 freqItems {SparkR}"><tr><td>freqItems 
{SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>Finding frequent items for columns, possibly with false positives</h2>
+
+<h3>Description</h3>
+
+<p>Finding frequent items for columns, possibly with false positives.
+Using the frequent element count algorithm described in
+<a 
href="http://dx.doi.org/10.1145/762471.762473";>http://dx.doi.org/10.1145/762471.762473</a>,
 proposed by Karp, Schenker, and Papadimitriou.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+## S4 method for signature 'SparkDataFrame,character'
+freqItems(x, cols, support = 0.01)
+</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>cols</code></td>
+<td>
+<p>A vector column names to search frequent items in.</p>
+</td></tr>
+<tr valign="top"><td><code>support</code></td>
+<td>
+<p>(Optional) The minimum frequency for an item to be considered 
<code>frequent</code>.
+Should be greater than 1e-4. Default support = 0.01.</p>
+</td></tr>
+</table>
+
+
+<h3>Value</h3>
+
+<p>a local R data.frame with the frequent items in each column
+</p>
+
+
+<h3>Note</h3>
+
+<p>freqItems since 1.6.0
+</p>
+
+
+<h3>See Also</h3>
+
+<p>Other stat functions: <code><a 
href="approxQuantile.html">approxQuantile</a></code>,
+<code><a href="corr.html">corr</a></code>, <code><a 
href="cov.html">cov</a></code>,
+<code><a href="crosstab.html">crosstab</a></code>, <code><a 
href="sampleBy.html">sampleBy</a></code>
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run: 
+##D df &lt;- read.json(&quot;/path/to/file.json&quot;)
+##D fi = freqItems(df, c(&quot;title&quot;, &quot;gender&quot;))
+## End(Not run)
+</code></pre>
+
+
+<hr /><div style="text-align: center;">[Package <em>SparkR</em> version 2.1.3 
<a href="00Index.html">Index</a>]</div>
+</body></html>

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+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" 
"http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd";><html 
xmlns="http://www.w3.org/1999/xhtml";><head><title>R: from_unixtime</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 from_unixtime 
{SparkR}"><tr><td>from_unixtime {SparkR}</td><td style="text-align: right;">R 
Documentation</td></tr></table>
+
+<h2>from_unixtime</h2>
+
+<h3>Description</h3>
+
+<p>Converts the number of seconds from unix epoch (1970-01-01 00:00:00 UTC) to 
a string
+representing the timestamp of that moment in the current system time zone in 
the given
+format.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+from_unixtime(x, ...)
+
+## S4 method for signature 'Column'
+from_unixtime(x, format = "yyyy-MM-dd HH:mm:ss")
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>x</code></td>
+<td>
+<p>a Column of unix timestamp.</p>
+</td></tr>
+<tr valign="top"><td><code>...</code></td>
+<td>
+<p>further arguments to be passed to or from other methods.</p>
+</td></tr>
+<tr valign="top"><td><code>format</code></td>
+<td>
+<p>the target format. See
+<a 
href="http://docs.oracle.com/javase/tutorial/i18n/format/simpleDateFormat.html";>
+Customizing Formats</a> for available options.</p>
+</td></tr>
+</table>
+
+
+<h3>Note</h3>
+
+<p>from_unixtime since 1.5.0
+</p>
+
+
+<h3>See Also</h3>
+
+<p>Other datetime_funcs: <code><a href="add_months.html">add_months</a></code>,
+<code><a href="date_add.html">date_add</a></code>, <code><a 
href="date_format.html">date_format</a></code>,
+<code><a href="date_sub.html">date_sub</a></code>, <code><a 
href="datediff.html">datediff</a></code>,
+<code><a href="dayofmonth.html">dayofmonth</a></code>, <code><a 
href="dayofyear.html">dayofyear</a></code>,
+<code><a href="from_utc_timestamp.html">from_utc_timestamp</a></code>, 
<code><a href="hour.html">hour</a></code>,
+<code><a href="last_day.html">last_day</a></code>, <code><a 
href="minute.html">minute</a></code>,
+<code><a href="months_between.html">months_between</a></code>, <code><a 
href="month.html">month</a></code>,
+<code><a href="next_day.html">next_day</a></code>, <code><a 
href="quarter.html">quarter</a></code>,
+<code><a href="second.html">second</a></code>, <code><a 
href="to_date.html">to_date</a></code>,
+<code><a href="to_utc_timestamp.html">to_utc_timestamp</a></code>,
+<code><a href="unix_timestamp.html">unix_timestamp</a></code>, <code><a 
href="weekofyear.html">weekofyear</a></code>,
+<code><a href="window.html">window</a></code>, <code><a 
href="year.html">year</a></code>
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run: 
+##D from_unixtime(df$t)
+##D from_unixtime(df$t, &#39;yyyy/MM/dd HH&#39;)
+## End(Not run)
+</code></pre>
+
+
+<hr /><div style="text-align: center;">[Package <em>SparkR</em> version 2.1.3 
<a href="00Index.html">Index</a>]</div>
+</body></html>

http://git-wip-us.apache.org/repos/asf/spark-website/blob/3a634959/site/docs/2.1.3/api/R/from_utc_timestamp.html
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+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" 
"http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd";><html 
xmlns="http://www.w3.org/1999/xhtml";><head><title>R: from_utc_timestamp</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 from_utc_timestamp 
{SparkR}"><tr><td>from_utc_timestamp {SparkR}</td><td style="text-align: 
right;">R Documentation</td></tr></table>
+
+<h2>from_utc_timestamp</h2>
+
+<h3>Description</h3>
+
+<p>Given a timestamp, which corresponds to a certain time of day in UTC, 
returns another timestamp
+that corresponds to the same time of day in the given timezone.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+from_utc_timestamp(y, x)
+
+## S4 method for signature 'Column,character'
+from_utc_timestamp(y, x)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>y</code></td>
+<td>
+<p>Column to compute on.</p>
+</td></tr>
+<tr valign="top"><td><code>x</code></td>
+<td>
+<p>time zone to use.</p>
+</td></tr>
+</table>
+
+
+<h3>Note</h3>
+
+<p>from_utc_timestamp since 1.5.0
+</p>
+
+
+<h3>See Also</h3>
+
+<p>Other datetime_funcs: <code><a href="add_months.html">add_months</a></code>,
+<code><a href="date_add.html">date_add</a></code>, <code><a 
href="date_format.html">date_format</a></code>,
+<code><a href="date_sub.html">date_sub</a></code>, <code><a 
href="datediff.html">datediff</a></code>,
+<code><a href="dayofmonth.html">dayofmonth</a></code>, <code><a 
href="dayofyear.html">dayofyear</a></code>,
+<code><a href="from_unixtime.html">from_unixtime</a></code>, <code><a 
href="hour.html">hour</a></code>,
+<code><a href="last_day.html">last_day</a></code>, <code><a 
href="minute.html">minute</a></code>,
+<code><a href="months_between.html">months_between</a></code>, <code><a 
href="month.html">month</a></code>,
+<code><a href="next_day.html">next_day</a></code>, <code><a 
href="quarter.html">quarter</a></code>,
+<code><a href="second.html">second</a></code>, <code><a 
href="to_date.html">to_date</a></code>,
+<code><a href="to_utc_timestamp.html">to_utc_timestamp</a></code>,
+<code><a href="unix_timestamp.html">unix_timestamp</a></code>, <code><a 
href="weekofyear.html">weekofyear</a></code>,
+<code><a href="window.html">window</a></code>, <code><a 
href="year.html">year</a></code>
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run: from_utc_timestamp(df$t, &#39;PST&#39;)
+</code></pre>
+
+
+<hr /><div style="text-align: center;">[Package <em>SparkR</em> version 2.1.3 
<a href="00Index.html">Index</a>]</div>
+</body></html>

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@@ -0,0 +1,192 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" 
"http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd";><html 
xmlns="http://www.w3.org/1999/xhtml";><head><title>R: gapply</title>
+<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
+<link rel="stylesheet" type="text/css" href="R.css" />
+
+<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 gapply {SparkR}"><tr><td>gapply 
{SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>gapply</h2>
+
+<h3>Description</h3>
+
+<p>gapply
+</p>
+<p>Groups the SparkDataFrame using the specified columns and applies the R 
function to each
+group.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+gapply(x, ...)
+
+## S4 method for signature 'GroupedData'
+gapply(x, func, schema)
+
+## S4 method for signature 'SparkDataFrame'
+gapply(x, cols, func, schema)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>x</code></td>
+<td>
+<p>a SparkDataFrame or GroupedData.</p>
+</td></tr>
+<tr valign="top"><td><code>...</code></td>
+<td>
+<p>additional argument(s) passed to the method.</p>
+</td></tr>
+<tr valign="top"><td><code>func</code></td>
+<td>
+<p>a function to be applied to each group partition specified by grouping
+column of the SparkDataFrame. The function <code>func</code> takes as argument
+a key - grouping columns and a data frame - a local R data.frame.
+The output of <code>func</code> is a local R data.frame.</p>
+</td></tr>
+<tr valign="top"><td><code>schema</code></td>
+<td>
+<p>the schema of the resulting SparkDataFrame after the function is applied.
+The schema must match to output of <code>func</code>. It has to be defined for 
each
+output column with preferred output column name and corresponding data 
type.</p>
+</td></tr>
+<tr valign="top"><td><code>cols</code></td>
+<td>
+<p>grouping columns.</p>
+</td></tr>
+</table>
+
+
+<h3>Value</h3>
+
+<p>A SparkDataFrame.
+</p>
+
+
+<h3>Note</h3>
+
+<p>gapply(GroupedData) since 2.0.0
+</p>
+<p>gapply(SparkDataFrame) since 2.0.0
+</p>
+
+
+<h3>See Also</h3>
+
+<p><a href="gapplyCollect.html">gapplyCollect</a>
+</p>
+<p>Other SparkDataFrame functions: <code><a 
href="SparkDataFrame.html">SparkDataFrame-class</a></code>,
+<code><a href="summarize.html">agg</a></code>, <code><a 
href="arrange.html">arrange</a></code>,
+<code><a href="as.data.frame.html">as.data.frame</a></code>, <code><a 
href="attach.html">attach</a></code>,
+<code><a href="cache.html">cache</a></code>, <code><a 
href="coalesce.html">coalesce</a></code>,
+<code><a href="collect.html">collect</a></code>, <code><a 
href="columns.html">colnames</a></code>,
+<code><a href="coltypes.html">coltypes</a></code>,
+<code><a 
href="createOrReplaceTempView.html">createOrReplaceTempView</a></code>,
+<code><a href="crossJoin.html">crossJoin</a></code>, <code><a 
href="dapplyCollect.html">dapplyCollect</a></code>,
+<code><a href="dapply.html">dapply</a></code>, <code><a 
href="summary.html">describe</a></code>,
+<code><a href="dim.html">dim</a></code>, <code><a 
href="distinct.html">distinct</a></code>,
+<code><a href="dropDuplicates.html">dropDuplicates</a></code>, <code><a 
href="nafunctions.html">dropna</a></code>,
+<code><a href="drop.html">drop</a></code>, <code><a 
href="dtypes.html">dtypes</a></code>,
+<code><a href="except.html">except</a></code>, <code><a 
href="explain.html">explain</a></code>,
+<code><a href="filter.html">filter</a></code>, <code><a 
href="first.html">first</a></code>,
+<code><a href="gapplyCollect.html">gapplyCollect</a></code>,
+<code><a href="getNumPartitions.html">getNumPartitions</a></code>, <code><a 
href="groupBy.html">group_by</a></code>,
+<code><a href="head.html">head</a></code>, <code><a 
href="histogram.html">histogram</a></code>,
+<code><a href="insertInto.html">insertInto</a></code>, <code><a 
href="intersect.html">intersect</a></code>,
+<code><a href="isLocal.html">isLocal</a></code>, <code><a 
href="join.html">join</a></code>,
+<code><a href="limit.html">limit</a></code>, <code><a 
href="merge.html">merge</a></code>,
+<code><a href="mutate.html">mutate</a></code>, <code><a 
href="ncol.html">ncol</a></code>,
+<code><a href="nrow.html">nrow</a></code>, <code><a 
href="persist.html">persist</a></code>,
+<code><a href="printSchema.html">printSchema</a></code>, <code><a 
href="randomSplit.html">randomSplit</a></code>,
+<code><a href="rbind.html">rbind</a></code>, <code><a 
href="registerTempTable-deprecated.html">registerTempTable</a></code>,
+<code><a href="rename.html">rename</a></code>, <code><a 
href="repartition.html">repartition</a></code>,
+<code><a href="sample.html">sample</a></code>, <code><a 
href="saveAsTable.html">saveAsTable</a></code>,
+<code><a href="schema.html">schema</a></code>, <code><a 
href="selectExpr.html">selectExpr</a></code>,
+<code><a href="select.html">select</a></code>, <code><a 
href="showDF.html">showDF</a></code>,
+<code><a href="show.html">show</a></code>, <code><a 
href="storageLevel.html">storageLevel</a></code>,
+<code><a href="str.html">str</a></code>, <code><a 
href="subset.html">subset</a></code>,
+<code><a href="take.html">take</a></code>, <code><a 
href="union.html">union</a></code>,
+<code><a href="unpersist.html">unpersist</a></code>, <code><a 
href="withColumn.html">withColumn</a></code>,
+<code><a href="with.html">with</a></code>, <code><a 
href="write.df.html">write.df</a></code>,
+<code><a href="write.jdbc.html">write.jdbc</a></code>, <code><a 
href="write.json.html">write.json</a></code>,
+<code><a href="write.orc.html">write.orc</a></code>, <code><a 
href="write.parquet.html">write.parquet</a></code>,
+<code><a href="write.text.html">write.text</a></code>
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run: 
+##D Computes the arithmetic mean of the second column by grouping
+##D on the first and third columns. Output the grouping values and the average.
+##D 
+##D df &lt;- createDataFrame (
+##D list(list(1L, 1, &quot;1&quot;, 0.1), list(1L, 2, &quot;1&quot;, 0.2), 
list(3L, 3, &quot;3&quot;, 0.3)),
+##D   c(&quot;a&quot;, &quot;b&quot;, &quot;c&quot;, &quot;d&quot;))
+##D 
+##D Here our output contains three columns, the key which is a combination of 
two
+##D columns with data types integer and string and the mean which is a double.
+##D schema &lt;-  structType(structField(&quot;a&quot;, &quot;integer&quot;), 
structField(&quot;c&quot;, &quot;string&quot;),
+##D   structField(&quot;avg&quot;, &quot;double&quot;))
+##D result &lt;- gapply(
+##D   df,
+##D   c(&quot;a&quot;, &quot;c&quot;),
+##D   function(key, x) {
+##D     y &lt;- data.frame(key, mean(x$b), stringsAsFactors = FALSE)
+##D }, schema)
+##D 
+##D We can also group the data and afterwards call gapply on GroupedData.
+##D For Example:
+##D gdf &lt;- group_by(df, &quot;a&quot;, &quot;c&quot;)
+##D result &lt;- gapply(
+##D   gdf,
+##D   function(key, x) {
+##D     y &lt;- data.frame(key, mean(x$b), stringsAsFactors = FALSE)
+##D }, schema)
+##D collect(result)
+##D 
+##D Result
+##D ------
+##D a c avg
+##D 3 3 3.0
+##D 1 1 1.5
+##D 
+##D Fits linear models on iris dataset by grouping on the &#39;Species&#39; 
column and
+##D using &#39;Sepal_Length&#39; as a target variable, &#39;Sepal_Width&#39;, 
&#39;Petal_Length&#39;
+##D and &#39;Petal_Width&#39; as training features.
+##D 
+##D df &lt;- createDataFrame (iris)
+##D schema &lt;- structType(structField(&quot;(Intercept)&quot;, 
&quot;double&quot;),
+##D   structField(&quot;Sepal_Width&quot;, 
&quot;double&quot;),structField(&quot;Petal_Length&quot;, &quot;double&quot;),
+##D   structField(&quot;Petal_Width&quot;, &quot;double&quot;))
+##D df1 &lt;- gapply(
+##D   df,
+##D   df$&quot;Species&quot;,
+##D   function(key, x) {
+##D     m &lt;- suppressWarnings(lm(Sepal_Length ~
+##D     Sepal_Width + Petal_Length + Petal_Width, x))
+##D     data.frame(t(coef(m)))
+##D   }, schema)
+##D collect(df1)
+##D 
+##D Result
+##D ---------
+##D Model  (Intercept)  Sepal_Width  Petal_Length  Petal_Width
+##D 1        0.699883    0.3303370    0.9455356    -0.1697527
+##D 2        1.895540    0.3868576    0.9083370    -0.6792238
+##D 3        2.351890    0.6548350    0.2375602     0.2521257
+##D 
+## End(Not run)
+</code></pre>
+
+
+<hr /><div style="text-align: center;">[Package <em>SparkR</em> version 2.1.3 
<a href="00Index.html">Index</a>]</div>
+</body></html>

http://git-wip-us.apache.org/repos/asf/spark-website/blob/3a634959/site/docs/2.1.3/api/R/gapplyCollect.html
----------------------------------------------------------------------
diff --git a/site/docs/2.1.3/api/R/gapplyCollect.html 
b/site/docs/2.1.3/api/R/gapplyCollect.html
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+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" 
"http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd";><html 
xmlns="http://www.w3.org/1999/xhtml";><head><title>R: gapplyCollect</title>
+<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
+<link rel="stylesheet" type="text/css" href="R.css" />
+
+<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 gapplyCollect 
{SparkR}"><tr><td>gapplyCollect {SparkR}</td><td style="text-align: right;">R 
Documentation</td></tr></table>
+
+<h2>gapplyCollect</h2>
+
+<h3>Description</h3>
+
+<p>gapplyCollect
+</p>
+<p>Groups the SparkDataFrame using the specified columns, applies the R 
function to each
+group and collects the result back to R as data.frame.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+gapplyCollect(x, ...)
+
+## S4 method for signature 'GroupedData'
+gapplyCollect(x, func)
+
+## S4 method for signature 'SparkDataFrame'
+gapplyCollect(x, cols, func)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>x</code></td>
+<td>
+<p>a SparkDataFrame or GroupedData.</p>
+</td></tr>
+<tr valign="top"><td><code>...</code></td>
+<td>
+<p>additional argument(s) passed to the method.</p>
+</td></tr>
+<tr valign="top"><td><code>func</code></td>
+<td>
+<p>a function to be applied to each group partition specified by grouping
+column of the SparkDataFrame. The function <code>func</code> takes as argument
+a key - grouping columns and a data frame - a local R data.frame.
+The output of <code>func</code> is a local R data.frame.</p>
+</td></tr>
+<tr valign="top"><td><code>cols</code></td>
+<td>
+<p>grouping columns.</p>
+</td></tr>
+</table>
+
+
+<h3>Value</h3>
+
+<p>A data.frame.
+</p>
+
+
+<h3>Note</h3>
+
+<p>gapplyCollect(GroupedData) since 2.0.0
+</p>
+<p>gapplyCollect(SparkDataFrame) since 2.0.0
+</p>
+
+
+<h3>See Also</h3>
+
+<p><a href="gapply.html">gapply</a>
+</p>
+<p>Other SparkDataFrame functions: <code><a 
href="SparkDataFrame.html">SparkDataFrame-class</a></code>,
+<code><a href="summarize.html">agg</a></code>, <code><a 
href="arrange.html">arrange</a></code>,
+<code><a href="as.data.frame.html">as.data.frame</a></code>, <code><a 
href="attach.html">attach</a></code>,
+<code><a href="cache.html">cache</a></code>, <code><a 
href="coalesce.html">coalesce</a></code>,
+<code><a href="collect.html">collect</a></code>, <code><a 
href="columns.html">colnames</a></code>,
+<code><a href="coltypes.html">coltypes</a></code>,
+<code><a 
href="createOrReplaceTempView.html">createOrReplaceTempView</a></code>,
+<code><a href="crossJoin.html">crossJoin</a></code>, <code><a 
href="dapplyCollect.html">dapplyCollect</a></code>,
+<code><a href="dapply.html">dapply</a></code>, <code><a 
href="summary.html">describe</a></code>,
+<code><a href="dim.html">dim</a></code>, <code><a 
href="distinct.html">distinct</a></code>,
+<code><a href="dropDuplicates.html">dropDuplicates</a></code>, <code><a 
href="nafunctions.html">dropna</a></code>,
+<code><a href="drop.html">drop</a></code>, <code><a 
href="dtypes.html">dtypes</a></code>,
+<code><a href="except.html">except</a></code>, <code><a 
href="explain.html">explain</a></code>,
+<code><a href="filter.html">filter</a></code>, <code><a 
href="first.html">first</a></code>,
+<code><a href="gapply.html">gapply</a></code>, <code><a 
href="getNumPartitions.html">getNumPartitions</a></code>,
+<code><a href="groupBy.html">group_by</a></code>, <code><a 
href="head.html">head</a></code>,
+<code><a href="histogram.html">histogram</a></code>, <code><a 
href="insertInto.html">insertInto</a></code>,
+<code><a href="intersect.html">intersect</a></code>, <code><a 
href="isLocal.html">isLocal</a></code>,
+<code><a href="join.html">join</a></code>, <code><a 
href="limit.html">limit</a></code>,
+<code><a href="merge.html">merge</a></code>, <code><a 
href="mutate.html">mutate</a></code>,
+<code><a href="ncol.html">ncol</a></code>, <code><a 
href="nrow.html">nrow</a></code>,
+<code><a href="persist.html">persist</a></code>, <code><a 
href="printSchema.html">printSchema</a></code>,
+<code><a href="randomSplit.html">randomSplit</a></code>, <code><a 
href="rbind.html">rbind</a></code>,
+<code><a 
href="registerTempTable-deprecated.html">registerTempTable</a></code>, <code><a 
href="rename.html">rename</a></code>,
+<code><a href="repartition.html">repartition</a></code>, <code><a 
href="sample.html">sample</a></code>,
+<code><a href="saveAsTable.html">saveAsTable</a></code>, <code><a 
href="schema.html">schema</a></code>,
+<code><a href="selectExpr.html">selectExpr</a></code>, <code><a 
href="select.html">select</a></code>,
+<code><a href="showDF.html">showDF</a></code>, <code><a 
href="show.html">show</a></code>,
+<code><a href="storageLevel.html">storageLevel</a></code>, <code><a 
href="str.html">str</a></code>,
+<code><a href="subset.html">subset</a></code>, <code><a 
href="take.html">take</a></code>,
+<code><a href="union.html">union</a></code>, <code><a 
href="unpersist.html">unpersist</a></code>,
+<code><a href="withColumn.html">withColumn</a></code>, <code><a 
href="with.html">with</a></code>,
+<code><a href="write.df.html">write.df</a></code>, <code><a 
href="write.jdbc.html">write.jdbc</a></code>,
+<code><a href="write.json.html">write.json</a></code>, <code><a 
href="write.orc.html">write.orc</a></code>,
+<code><a href="write.parquet.html">write.parquet</a></code>, <code><a 
href="write.text.html">write.text</a></code>
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run: 
+##D Computes the arithmetic mean of the second column by grouping
+##D on the first and third columns. Output the grouping values and the average.
+##D 
+##D df &lt;- createDataFrame (
+##D list(list(1L, 1, &quot;1&quot;, 0.1), list(1L, 2, &quot;1&quot;, 0.2), 
list(3L, 3, &quot;3&quot;, 0.3)),
+##D   c(&quot;a&quot;, &quot;b&quot;, &quot;c&quot;, &quot;d&quot;))
+##D 
+##D result &lt;- gapplyCollect(
+##D   df,
+##D   c(&quot;a&quot;, &quot;c&quot;),
+##D   function(key, x) {
+##D     y &lt;- data.frame(key, mean(x$b), stringsAsFactors = FALSE)
+##D     colnames(y) &lt;- c(&quot;key_a&quot;, &quot;key_c&quot;, 
&quot;mean_b&quot;)
+##D     y
+##D   })
+##D 
+##D We can also group the data and afterwards call gapply on GroupedData.
+##D For Example:
+##D gdf &lt;- group_by(df, &quot;a&quot;, &quot;c&quot;)
+##D result &lt;- gapplyCollect(
+##D   gdf,
+##D   function(key, x) {
+##D     y &lt;- data.frame(key, mean(x$b), stringsAsFactors = FALSE)
+##D     colnames(y) &lt;- c(&quot;key_a&quot;, &quot;key_c&quot;, 
&quot;mean_b&quot;)
+##D     y
+##D   })
+##D 
+##D Result
+##D ------
+##D key_a key_c mean_b
+##D 3 3 3.0
+##D 1 1 1.5
+##D 
+##D Fits linear models on iris dataset by grouping on the &#39;Species&#39; 
column and
+##D using &#39;Sepal_Length&#39; as a target variable, &#39;Sepal_Width&#39;, 
&#39;Petal_Length&#39;
+##D and &#39;Petal_Width&#39; as training features.
+##D 
+##D df &lt;- createDataFrame (iris)
+##D result &lt;- gapplyCollect(
+##D   df,
+##D   df$&quot;Species&quot;,
+##D   function(key, x) {
+##D     m &lt;- suppressWarnings(lm(Sepal_Length ~
+##D     Sepal_Width + Petal_Length + Petal_Width, x))
+##D     data.frame(t(coef(m)))
+##D   })
+##D 
+##D Result
+##D ---------
+##D Model  X.Intercept.  Sepal_Width  Petal_Length  Petal_Width
+##D 1        0.699883    0.3303370    0.9455356    -0.1697527
+##D 2        1.895540    0.3868576    0.9083370    -0.6792238
+##D 3        2.351890    0.6548350    0.2375602     0.2521257
+##D 
+## End(Not run)
+</code></pre>
+
+
+<hr /><div style="text-align: center;">[Package <em>SparkR</em> version 2.1.3 
<a href="00Index.html">Index</a>]</div>
+</body></html>

http://git-wip-us.apache.org/repos/asf/spark-website/blob/3a634959/site/docs/2.1.3/api/R/generateAliasesForIntersectedCols.html
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diff --git a/site/docs/2.1.3/api/R/generateAliasesForIntersectedCols.html 
b/site/docs/2.1.3/api/R/generateAliasesForIntersectedCols.html
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+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" 
"http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd";><html 
xmlns="http://www.w3.org/1999/xhtml";><head><title>R: Creates a list of columns 
by replacing the intersected ones...</title>
+<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
+<link rel="stylesheet" type="text/css" href="R.css" />
+</head><body>
+
+<table width="100%" summary="page for generateAliasesForIntersectedCols 
{SparkR}"><tr><td>generateAliasesForIntersectedCols {SparkR}</td><td 
style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>Creates a list of columns by replacing the intersected ones with 
aliases</h2>
+
+<h3>Description</h3>
+
+<p>Creates a list of columns by replacing the intersected ones with aliases.
+The name of the alias column is formed by concatanating the original column 
name and a suffix.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+generateAliasesForIntersectedCols(x, intersectedColNames, suffix)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>x</code></td>
+<td>
+<p>a SparkDataFrame</p>
+</td></tr>
+<tr valign="top"><td><code>intersectedColNames</code></td>
+<td>
+<p>a list of intersected column names of the SparkDataFrame</p>
+</td></tr>
+<tr valign="top"><td><code>suffix</code></td>
+<td>
+<p>a suffix for the column name</p>
+</td></tr>
+</table>
+
+
+<h3>Value</h3>
+
+<p>list of columns
+</p>
+
+
+<h3>Note</h3>
+
+<p>generateAliasesForIntersectedCols since 1.6.0
+</p>
+
+<hr /><div style="text-align: center;">[Package <em>SparkR</em> version 2.1.3 
<a href="00Index.html">Index</a>]</div>
+</body></html>

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+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" 
"http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd";><html 
xmlns="http://www.w3.org/1999/xhtml";><head><title>R: getNumPartitions</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 getNumPartitions 
{SparkR}"><tr><td>getNumPartitions {SparkR}</td><td style="text-align: 
right;">R Documentation</td></tr></table>
+
+<h2>getNumPartitions</h2>
+
+<h3>Description</h3>
+
+<p>Return the number of partitions
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+## S4 method for signature 'SparkDataFrame'
+getNumPartitions(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>getNumPartitions since 2.1.1
+</p>
+
+
+<h3>See Also</h3>
+
+<p>Other SparkDataFrame functions: <code><a 
href="SparkDataFrame.html">SparkDataFrame-class</a></code>,
+<code><a href="summarize.html">agg</a></code>, <code><a 
href="arrange.html">arrange</a></code>,
+<code><a href="as.data.frame.html">as.data.frame</a></code>, <code><a 
href="attach.html">attach</a></code>,
+<code><a href="cache.html">cache</a></code>, <code><a 
href="coalesce.html">coalesce</a></code>,
+<code><a href="collect.html">collect</a></code>, <code><a 
href="columns.html">colnames</a></code>,
+<code><a href="coltypes.html">coltypes</a></code>,
+<code><a 
href="createOrReplaceTempView.html">createOrReplaceTempView</a></code>,
+<code><a href="crossJoin.html">crossJoin</a></code>, <code><a 
href="dapplyCollect.html">dapplyCollect</a></code>,
+<code><a href="dapply.html">dapply</a></code>, <code><a 
href="summary.html">describe</a></code>,
+<code><a href="dim.html">dim</a></code>, <code><a 
href="distinct.html">distinct</a></code>,
+<code><a href="dropDuplicates.html">dropDuplicates</a></code>, <code><a 
href="nafunctions.html">dropna</a></code>,
+<code><a href="drop.html">drop</a></code>, <code><a 
href="dtypes.html">dtypes</a></code>,
+<code><a href="except.html">except</a></code>, <code><a 
href="explain.html">explain</a></code>,
+<code><a href="filter.html">filter</a></code>, <code><a 
href="first.html">first</a></code>,
+<code><a href="gapplyCollect.html">gapplyCollect</a></code>, <code><a 
href="gapply.html">gapply</a></code>,
+<code><a href="groupBy.html">group_by</a></code>, <code><a 
href="head.html">head</a></code>,
+<code><a href="histogram.html">histogram</a></code>, <code><a 
href="insertInto.html">insertInto</a></code>,
+<code><a href="intersect.html">intersect</a></code>, <code><a 
href="isLocal.html">isLocal</a></code>,
+<code><a href="join.html">join</a></code>, <code><a 
href="limit.html">limit</a></code>,
+<code><a href="merge.html">merge</a></code>, <code><a 
href="mutate.html">mutate</a></code>,
+<code><a href="ncol.html">ncol</a></code>, <code><a 
href="nrow.html">nrow</a></code>,
+<code><a href="persist.html">persist</a></code>, <code><a 
href="printSchema.html">printSchema</a></code>,
+<code><a href="randomSplit.html">randomSplit</a></code>, <code><a 
href="rbind.html">rbind</a></code>,
+<code><a 
href="registerTempTable-deprecated.html">registerTempTable</a></code>, <code><a 
href="rename.html">rename</a></code>,
+<code><a href="repartition.html">repartition</a></code>, <code><a 
href="sample.html">sample</a></code>,
+<code><a href="saveAsTable.html">saveAsTable</a></code>, <code><a 
href="schema.html">schema</a></code>,
+<code><a href="selectExpr.html">selectExpr</a></code>, <code><a 
href="select.html">select</a></code>,
+<code><a href="showDF.html">showDF</a></code>, <code><a 
href="show.html">show</a></code>,
+<code><a href="storageLevel.html">storageLevel</a></code>, <code><a 
href="str.html">str</a></code>,
+<code><a href="subset.html">subset</a></code>, <code><a 
href="take.html">take</a></code>,
+<code><a href="union.html">union</a></code>, <code><a 
href="unpersist.html">unpersist</a></code>,
+<code><a href="withColumn.html">withColumn</a></code>, <code><a 
href="with.html">with</a></code>,
+<code><a href="write.df.html">write.df</a></code>, <code><a 
href="write.jdbc.html">write.jdbc</a></code>,
+<code><a href="write.json.html">write.json</a></code>, <code><a 
href="write.orc.html">write.orc</a></code>,
+<code><a href="write.parquet.html">write.parquet</a></code>, <code><a 
href="write.text.html">write.text</a></code>
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run: 
+##D sparkR.session()
+##D df &lt;- createDataFrame(cars, numPartitions = 2)
+##D getNumPartitions(df)
+## End(Not run)
+</code></pre>
+
+
+<hr /><div style="text-align: center;">[Package <em>SparkR</em> version 2.1.3 
<a href="00Index.html">Index</a>]</div>
+</body></html>

http://git-wip-us.apache.org/repos/asf/spark-website/blob/3a634959/site/docs/2.1.3/api/R/glm.html
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+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" 
"http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd";><html 
xmlns="http://www.w3.org/1999/xhtml";><head><title>R: Generalized Linear Models 
(R-compliant)</title>
+<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
+<link rel="stylesheet" type="text/css" href="R.css" />
+
+<link rel="stylesheet" 
href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.3/styles/github.min.css";>
+<script 
src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.3/highlight.min.js";></script>
+<script 
src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.3/languages/r.min.js";></script>
+<script>hljs.initHighlightingOnLoad();</script>
+</head><body>
+
+<table width="100%" summary="page for glm {SparkR}"><tr><td>glm 
{SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>Generalized Linear Models (R-compliant)</h2>
+
+<h3>Description</h3>
+
+<p>Fits a generalized linear model, similarly to R's glm().
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+glm(formula, family = gaussian, data, weights, subset, na.action,
+  start = NULL, etastart, mustart, offset, control = list(...),
+  model = TRUE, method = "glm.fit", x = FALSE, y = TRUE,
+  contrasts = NULL, ...)
+
+## S4 method for signature 'formula,ANY,SparkDataFrame'
+glm(formula, family = gaussian, data,
+  epsilon = 1e-06, maxit = 25, weightCol = NULL)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>formula</code></td>
+<td>
+<p>a symbolic description of the model to be fitted. Currently only a few 
formula
+operators are supported, including '~', '.', ':', '+', and '-'.</p>
+</td></tr>
+<tr valign="top"><td><code>family</code></td>
+<td>
+<p>a description of the error distribution and link function to be used in the 
model.
+This can be a character string naming a family function, a family function or
+the result of a call to a family function. Refer R family at
+<a 
href="https://stat.ethz.ch/R-manual/R-devel/library/stats/html/family.html";>https://stat.ethz.ch/R-manual/R-devel/library/stats/html/family.html</a>.
+Currently these families are supported: <code>binomial</code>, 
<code>gaussian</code>,
+<code>Gamma</code>, and <code>poisson</code>.</p>
+</td></tr>
+<tr valign="top"><td><code>data</code></td>
+<td>
+<p>a SparkDataFrame or R's glm data for training.</p>
+</td></tr>
+<tr valign="top"><td><code>weights</code></td>
+<td>
+<p>an optional vector of &lsquo;prior weights&rsquo; to be used
+in the fitting process.  Should be <code>NULL</code> or a numeric vector.</p>
+</td></tr>
+<tr valign="top"><td><code>subset</code></td>
+<td>
+<p>an optional vector specifying a subset of observations
+to be used in the fitting process.</p>
+</td></tr>
+<tr valign="top"><td><code>na.action</code></td>
+<td>
+<p>a function which indicates what should happen
+when the data contain <code>NA</code>s.  The default is set by
+the <code>na.action</code> setting of <code><a 
href="../../base/html/options.html">options</a></code>, and is
+<code><a href="../../stats/html/na.fail.html">na.fail</a></code> if that is 
unset.  The &lsquo;factory-fresh&rsquo;
+default is <code><a href="nafunctions.html">na.omit</a></code>.  Another 
possible value is
+<code>NULL</code>, no action.  Value <code><a 
href="../../stats/html/na.fail.html">na.exclude</a></code> can be useful.</p>
+</td></tr>
+<tr valign="top"><td><code>start</code></td>
+<td>
+<p>starting values for the parameters in the linear predictor.</p>
+</td></tr>
+<tr valign="top"><td><code>etastart</code></td>
+<td>
+<p>starting values for the linear predictor.</p>
+</td></tr>
+<tr valign="top"><td><code>mustart</code></td>
+<td>
+<p>starting values for the vector of means.</p>
+</td></tr>
+<tr valign="top"><td><code>offset</code></td>
+<td>
+<p>this can be used to specify an <em>a priori</em> known
+component to be included in the linear predictor during fitting.
+This should be <code>NULL</code> or a numeric vector of length equal to
+the number of cases.  One or more <code><a 
href="../../stats/html/offset.html">offset</a></code> terms can be
+included in the formula instead or as well, and if more than one is
+specified their sum is used.  See <code><a 
href="../../stats/html/model.extract.html">model.offset</a></code>.</p>
+</td></tr>
+<tr valign="top"><td><code>control</code></td>
+<td>
+<p>a list of parameters for controlling the fitting
+process.  For <code>glm.fit</code> this is passed to
+<code><a href="../../stats/html/glm.control.html">glm.control</a></code>.</p>
+</td></tr>
+<tr valign="top"><td><code>model</code></td>
+<td>
+<p>a logical value indicating whether <em>model frame</em>
+should be included as a component of the returned value.</p>
+</td></tr>
+<tr valign="top"><td><code>method</code></td>
+<td>
+<p>the method to be used in fitting the model.  The default
+method <code>"glm.fit"</code> uses iteratively reweighted least squares
+(IWLS): the alternative <code>"model.frame"</code> returns the model frame
+and does no fitting.
+</p>
+<p>User-supplied fitting functions can be supplied either as a function
+or a character string naming a function, with a function which takes
+the same arguments as <code>glm.fit</code>.  If specified as a character
+string it is looked up from within the <span class="pkg">stats</span> 
namespace.
+</p>
+</td></tr>
+<tr valign="top"><td><code>x, y</code></td>
+<td>
+<p>For <code>glm</code>: logical values indicating whether the response vector
+and model matrix used in the fitting process should be returned as
+components of the returned value.</p>
+</td></tr>
+<tr valign="top"><td><code>contrasts</code></td>
+<td>
+<p>an optional list. See the <code>contrasts.arg</code>
+of <code>model.matrix.default</code>.</p>
+</td></tr>
+<tr valign="top"><td><code>...</code></td>
+<td>
+
+<p>For <code>glm</code>: arguments to be used to form the default
+<code>control</code> argument if it is not supplied directly.
+</p>
+<p>For <code>weights</code>: further arguments passed to or from other methods.
+</p>
+</td></tr>
+<tr valign="top"><td><code>epsilon</code></td>
+<td>
+<p>positive convergence tolerance of iterations.</p>
+</td></tr>
+<tr valign="top"><td><code>maxit</code></td>
+<td>
+<p>integer giving the maximal number of IRLS iterations.</p>
+</td></tr>
+<tr valign="top"><td><code>weightCol</code></td>
+<td>
+<p>the weight column name. If this is not set or <code>NULL</code>, we treat 
all instance
+weights as 1.0.</p>
+</td></tr>
+</table>
+
+
+<h3>Value</h3>
+
+<p><code>glm</code> returns a fitted generalized linear model.
+</p>
+
+
+<h3>Note</h3>
+
+<p>glm since 1.5.0
+</p>
+
+
+<h3>See Also</h3>
+
+<p><a href="spark.glm.html">spark.glm</a>
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run: 
+##D sparkR.session()
+##D data(iris)
+##D df &lt;- createDataFrame(iris)
+##D model &lt;- glm(Sepal_Length ~ Sepal_Width, df, family = 
&quot;gaussian&quot;)
+##D summary(model)
+## End(Not run)
+</code></pre>
+
+
+<hr /><div style="text-align: center;">[Package <em>SparkR</em> version 2.1.3 
<a href="00Index.html">Index</a>]</div>
+</body></html>

http://git-wip-us.apache.org/repos/asf/spark-website/blob/3a634959/site/docs/2.1.3/api/R/greatest.html
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+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" 
"http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd";><html 
xmlns="http://www.w3.org/1999/xhtml";><head><title>R: greatest</title>
+<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
+<link rel="stylesheet" type="text/css" href="R.css" />
+
+<link rel="stylesheet" 
href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.3/styles/github.min.css";>
+<script 
src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.3/highlight.min.js";></script>
+<script 
src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.3/languages/r.min.js";></script>
+<script>hljs.initHighlightingOnLoad();</script>
+</head><body>
+
+<table width="100%" summary="page for greatest {SparkR}"><tr><td>greatest 
{SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>greatest</h2>
+
+<h3>Description</h3>
+
+<p>Returns the greatest value of the list of column names, skipping null 
values.
+This function takes at least 2 parameters. It will return null if all 
parameters are null.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+greatest(x, ...)
+
+## S4 method for signature 'Column'
+greatest(x, ...)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>x</code></td>
+<td>
+<p>Column to compute on</p>
+</td></tr>
+<tr valign="top"><td><code>...</code></td>
+<td>
+<p>other columns</p>
+</td></tr>
+</table>
+
+
+<h3>Note</h3>
+
+<p>greatest since 1.5.0
+</p>
+
+
+<h3>See Also</h3>
+
+<p>Other normal_funcs: <code><a href="abs.html">abs</a></code>,
+<code><a href="bitwiseNOT.html">bitwiseNOT</a></code>, <code><a 
href="coalesce.html">coalesce</a></code>,
+<code><a href="column.html">column</a></code>, <code><a 
href="expr.html">expr</a></code>,
+<code><a href="ifelse.html">ifelse</a></code>, <code><a 
href="is.nan.html">isnan</a></code>,
+<code><a href="least.html">least</a></code>, <code><a 
href="lit.html">lit</a></code>,
+<code><a href="nanvl.html">nanvl</a></code>, <code><a 
href="negate.html">negate</a></code>,
+<code><a href="randn.html">randn</a></code>, <code><a 
href="rand.html">rand</a></code>,
+<code><a href="struct.html">struct</a></code>, <code><a 
href="when.html">when</a></code>
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run: greatest(df$c, df$d)
+</code></pre>
+
+
+<hr /><div style="text-align: center;">[Package <em>SparkR</em> version 2.1.3 
<a href="00Index.html">Index</a>]</div>
+</body></html>

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+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" 
"http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd";><html 
xmlns="http://www.w3.org/1999/xhtml";><head><title>R: GroupBy</title>
+<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
+<link rel="stylesheet" type="text/css" href="R.css" />
+
+<link rel="stylesheet" 
href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.3/styles/github.min.css";>
+<script 
src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.3/highlight.min.js";></script>
+<script 
src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.3/languages/r.min.js";></script>
+<script>hljs.initHighlightingOnLoad();</script>
+</head><body>
+
+<table width="100%" summary="page for group_by {SparkR}"><tr><td>group_by 
{SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>GroupBy</h2>
+
+<h3>Description</h3>
+
+<p>Groups the SparkDataFrame using the specified columns, so we can run 
aggregation on them.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+group_by(x, ...)
+
+groupBy(x, ...)
+
+## S4 method for signature 'SparkDataFrame'
+groupBy(x, ...)
+
+## S4 method for signature 'SparkDataFrame'
+group_by(x, ...)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>x</code></td>
+<td>
+<p>a SparkDataFrame.</p>
+</td></tr>
+<tr valign="top"><td><code>...</code></td>
+<td>
+<p>variable(s) (character names(s) or Column(s)) to group on.</p>
+</td></tr>
+</table>
+
+
+<h3>Value</h3>
+
+<p>A GroupedData.
+</p>
+
+
+<h3>Note</h3>
+
+<p>groupBy since 1.4.0
+</p>
+<p>group_by since 1.4.0
+</p>
+
+
+<h3>See Also</h3>
+
+<p>Other SparkDataFrame functions: <code><a 
href="SparkDataFrame.html">SparkDataFrame-class</a></code>,
+<code><a href="summarize.html">agg</a></code>, <code><a 
href="arrange.html">arrange</a></code>,
+<code><a href="as.data.frame.html">as.data.frame</a></code>, <code><a 
href="attach.html">attach</a></code>,
+<code><a href="cache.html">cache</a></code>, <code><a 
href="coalesce.html">coalesce</a></code>,
+<code><a href="collect.html">collect</a></code>, <code><a 
href="columns.html">colnames</a></code>,
+<code><a href="coltypes.html">coltypes</a></code>,
+<code><a 
href="createOrReplaceTempView.html">createOrReplaceTempView</a></code>,
+<code><a href="crossJoin.html">crossJoin</a></code>, <code><a 
href="dapplyCollect.html">dapplyCollect</a></code>,
+<code><a href="dapply.html">dapply</a></code>, <code><a 
href="summary.html">describe</a></code>,
+<code><a href="dim.html">dim</a></code>, <code><a 
href="distinct.html">distinct</a></code>,
+<code><a href="dropDuplicates.html">dropDuplicates</a></code>, <code><a 
href="nafunctions.html">dropna</a></code>,
+<code><a href="drop.html">drop</a></code>, <code><a 
href="dtypes.html">dtypes</a></code>,
+<code><a href="except.html">except</a></code>, <code><a 
href="explain.html">explain</a></code>,
+<code><a href="filter.html">filter</a></code>, <code><a 
href="first.html">first</a></code>,
+<code><a href="gapplyCollect.html">gapplyCollect</a></code>, <code><a 
href="gapply.html">gapply</a></code>,
+<code><a href="getNumPartitions.html">getNumPartitions</a></code>, <code><a 
href="head.html">head</a></code>,
+<code><a href="histogram.html">histogram</a></code>, <code><a 
href="insertInto.html">insertInto</a></code>,
+<code><a href="intersect.html">intersect</a></code>, <code><a 
href="isLocal.html">isLocal</a></code>,
+<code><a href="join.html">join</a></code>, <code><a 
href="limit.html">limit</a></code>,
+<code><a href="merge.html">merge</a></code>, <code><a 
href="mutate.html">mutate</a></code>,
+<code><a href="ncol.html">ncol</a></code>, <code><a 
href="nrow.html">nrow</a></code>,
+<code><a href="persist.html">persist</a></code>, <code><a 
href="printSchema.html">printSchema</a></code>,
+<code><a href="randomSplit.html">randomSplit</a></code>, <code><a 
href="rbind.html">rbind</a></code>,
+<code><a 
href="registerTempTable-deprecated.html">registerTempTable</a></code>, <code><a 
href="rename.html">rename</a></code>,
+<code><a href="repartition.html">repartition</a></code>, <code><a 
href="sample.html">sample</a></code>,
+<code><a href="saveAsTable.html">saveAsTable</a></code>, <code><a 
href="schema.html">schema</a></code>,
+<code><a href="selectExpr.html">selectExpr</a></code>, <code><a 
href="select.html">select</a></code>,
+<code><a href="showDF.html">showDF</a></code>, <code><a 
href="show.html">show</a></code>,
+<code><a href="storageLevel.html">storageLevel</a></code>, <code><a 
href="str.html">str</a></code>,
+<code><a href="subset.html">subset</a></code>, <code><a 
href="take.html">take</a></code>,
+<code><a href="union.html">union</a></code>, <code><a 
href="unpersist.html">unpersist</a></code>,
+<code><a href="withColumn.html">withColumn</a></code>, <code><a 
href="with.html">with</a></code>,
+<code><a href="write.df.html">write.df</a></code>, <code><a 
href="write.jdbc.html">write.jdbc</a></code>,
+<code><a href="write.json.html">write.json</a></code>, <code><a 
href="write.orc.html">write.orc</a></code>,
+<code><a href="write.parquet.html">write.parquet</a></code>, <code><a 
href="write.text.html">write.text</a></code>
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run: 
+##D   # Compute the average for all numeric columns grouped by department.
+##D   avg(groupBy(df, &quot;department&quot;))
+##D 
+##D   # Compute the max age and average salary, grouped by department and 
gender.
+##D   agg(groupBy(df, &quot;department&quot;, &quot;gender&quot;), 
salary=&quot;avg&quot;, &quot;age&quot; -&gt; &quot;max&quot;)
+## End(Not run)
+</code></pre>
+
+
+<hr /><div style="text-align: center;">[Package <em>SparkR</em> version 2.1.3 
<a href="00Index.html">Index</a>]</div>
+</body></html>

http://git-wip-us.apache.org/repos/asf/spark-website/blob/3a634959/site/docs/2.1.3/api/R/hash.html
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diff --git a/site/docs/2.1.3/api/R/hash.html b/site/docs/2.1.3/api/R/hash.html
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@@ -0,0 +1,66 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" 
"http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd";><html 
xmlns="http://www.w3.org/1999/xhtml";><head><title>R: hash</title>
+<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
+<link rel="stylesheet" type="text/css" href="R.css" />
+
+<link rel="stylesheet" 
href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.3/styles/github.min.css";>
+<script 
src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.3/highlight.min.js";></script>
+<script 
src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.3/languages/r.min.js";></script>
+<script>hljs.initHighlightingOnLoad();</script>
+</head><body>
+
+<table width="100%" summary="page for hash {SparkR}"><tr><td>hash 
{SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>hash</h2>
+
+<h3>Description</h3>
+
+<p>Calculates the hash code of given columns, and returns the result as a int 
column.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+hash(x, ...)
+
+## S4 method for signature 'Column'
+hash(x, ...)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>x</code></td>
+<td>
+<p>Column to compute on.</p>
+</td></tr>
+<tr valign="top"><td><code>...</code></td>
+<td>
+<p>additional Column(s) to be included.</p>
+</td></tr>
+</table>
+
+
+<h3>Note</h3>
+
+<p>hash since 2.0.0
+</p>
+
+
+<h3>See Also</h3>
+
+<p>Other misc_funcs: <code><a href="crc32.html">crc32</a></code>, <code><a 
href="md5.html">md5</a></code>,
+<code><a 
href="monotonically_increasing_id.html">monotonically_increasing_id</a></code>,
+<code><a href="sha1.html">sha1</a></code>, <code><a 
href="sha2.html">sha2</a></code>
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run: hash(df$c)
+</code></pre>
+
+
+<hr /><div style="text-align: center;">[Package <em>SparkR</em> version 2.1.3 
<a href="00Index.html">Index</a>]</div>
+</body></html>

http://git-wip-us.apache.org/repos/asf/spark-website/blob/3a634959/site/docs/2.1.3/api/R/hashCode.html
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diff --git a/site/docs/2.1.3/api/R/hashCode.html 
b/site/docs/2.1.3/api/R/hashCode.html
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+++ b/site/docs/2.1.3/api/R/hashCode.html
@@ -0,0 +1,68 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" 
"http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd";><html 
xmlns="http://www.w3.org/1999/xhtml";><head><title>R: Compute the hashCode of an 
object</title>
+<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
+<link rel="stylesheet" type="text/css" href="R.css" />
+
+<link rel="stylesheet" 
href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.3/styles/github.min.css";>
+<script 
src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.3/highlight.min.js";></script>
+<script 
src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.3/languages/r.min.js";></script>
+<script>hljs.initHighlightingOnLoad();</script>
+</head><body>
+
+<table width="100%" summary="page for hashCode {SparkR}"><tr><td>hashCode 
{SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>Compute the hashCode of an object</h2>
+
+<h3>Description</h3>
+
+<p>Java-style function to compute the hashCode for the given object. Returns
+an integer value.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+hashCode(key)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>key</code></td>
+<td>
+<p>the object to be hashed</p>
+</td></tr>
+</table>
+
+
+<h3>Details</h3>
+
+<p>This only works for integer, numeric and character types right now.
+</p>
+
+
+<h3>Value</h3>
+
+<p>the hash code as an integer
+</p>
+
+
+<h3>Note</h3>
+
+<p>hashCode since 1.4.0
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run: 
+##D hashCode(1L) # 1
+##D hashCode(1.0) # 1072693248
+##D hashCode(&quot;1&quot;) # 49
+## End(Not run)
+</code></pre>
+
+
+<hr /><div style="text-align: center;">[Package <em>SparkR</em> version 2.1.3 
<a href="00Index.html">Index</a>]</div>
+</body></html>

http://git-wip-us.apache.org/repos/asf/spark-website/blob/3a634959/site/docs/2.1.3/api/R/head.html
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diff --git a/site/docs/2.1.3/api/R/head.html b/site/docs/2.1.3/api/R/head.html
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+++ b/site/docs/2.1.3/api/R/head.html
@@ -0,0 +1,108 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" 
"http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd";><html 
xmlns="http://www.w3.org/1999/xhtml";><head><title>R: Head</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 head {SparkR}"><tr><td>head 
{SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>Head</h2>
+
+<h3>Description</h3>
+
+<p>Return the first <code>num</code> rows of a SparkDataFrame as a R 
data.frame. If <code>num</code> is not
+specified, then head() returns the first 6 rows as with R data.frame.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+## S4 method for signature 'SparkDataFrame'
+head(x, num = 6L)
+</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>num</code></td>
+<td>
+<p>the number of rows to return. Default is 6.</p>
+</td></tr>
+</table>
+
+
+<h3>Value</h3>
+
+<p>A data.frame.
+</p>
+
+
+<h3>Note</h3>
+
+<p>head since 1.4.0
+</p>
+
+
+<h3>See Also</h3>
+
+<p>Other SparkDataFrame functions: <code><a 
href="SparkDataFrame.html">SparkDataFrame-class</a></code>,
+<code><a href="summarize.html">agg</a></code>, <code><a 
href="arrange.html">arrange</a></code>,
+<code><a href="as.data.frame.html">as.data.frame</a></code>, <code><a 
href="attach.html">attach</a></code>,
+<code><a href="cache.html">cache</a></code>, <code><a 
href="coalesce.html">coalesce</a></code>,
+<code><a href="collect.html">collect</a></code>, <code><a 
href="columns.html">colnames</a></code>,
+<code><a href="coltypes.html">coltypes</a></code>,
+<code><a 
href="createOrReplaceTempView.html">createOrReplaceTempView</a></code>,
+<code><a href="crossJoin.html">crossJoin</a></code>, <code><a 
href="dapplyCollect.html">dapplyCollect</a></code>,
+<code><a href="dapply.html">dapply</a></code>, <code><a 
href="summary.html">describe</a></code>,
+<code><a href="dim.html">dim</a></code>, <code><a 
href="distinct.html">distinct</a></code>,
+<code><a href="dropDuplicates.html">dropDuplicates</a></code>, <code><a 
href="nafunctions.html">dropna</a></code>,
+<code><a href="drop.html">drop</a></code>, <code><a 
href="dtypes.html">dtypes</a></code>,
+<code><a href="except.html">except</a></code>, <code><a 
href="explain.html">explain</a></code>,
+<code><a href="filter.html">filter</a></code>, <code><a 
href="first.html">first</a></code>,
+<code><a href="gapplyCollect.html">gapplyCollect</a></code>, <code><a 
href="gapply.html">gapply</a></code>,
+<code><a href="getNumPartitions.html">getNumPartitions</a></code>, <code><a 
href="groupBy.html">group_by</a></code>,
+<code><a href="histogram.html">histogram</a></code>, <code><a 
href="insertInto.html">insertInto</a></code>,
+<code><a href="intersect.html">intersect</a></code>, <code><a 
href="isLocal.html">isLocal</a></code>,
+<code><a href="join.html">join</a></code>, <code><a 
href="limit.html">limit</a></code>,
+<code><a href="merge.html">merge</a></code>, <code><a 
href="mutate.html">mutate</a></code>,
+<code><a href="ncol.html">ncol</a></code>, <code><a 
href="nrow.html">nrow</a></code>,
+<code><a href="persist.html">persist</a></code>, <code><a 
href="printSchema.html">printSchema</a></code>,
+<code><a href="randomSplit.html">randomSplit</a></code>, <code><a 
href="rbind.html">rbind</a></code>,
+<code><a 
href="registerTempTable-deprecated.html">registerTempTable</a></code>, <code><a 
href="rename.html">rename</a></code>,
+<code><a href="repartition.html">repartition</a></code>, <code><a 
href="sample.html">sample</a></code>,
+<code><a href="saveAsTable.html">saveAsTable</a></code>, <code><a 
href="schema.html">schema</a></code>,
+<code><a href="selectExpr.html">selectExpr</a></code>, <code><a 
href="select.html">select</a></code>,
+<code><a href="showDF.html">showDF</a></code>, <code><a 
href="show.html">show</a></code>,
+<code><a href="storageLevel.html">storageLevel</a></code>, <code><a 
href="str.html">str</a></code>,
+<code><a href="subset.html">subset</a></code>, <code><a 
href="take.html">take</a></code>,
+<code><a href="union.html">union</a></code>, <code><a 
href="unpersist.html">unpersist</a></code>,
+<code><a href="withColumn.html">withColumn</a></code>, <code><a 
href="with.html">with</a></code>,
+<code><a href="write.df.html">write.df</a></code>, <code><a 
href="write.jdbc.html">write.jdbc</a></code>,
+<code><a href="write.json.html">write.json</a></code>, <code><a 
href="write.orc.html">write.orc</a></code>,
+<code><a href="write.parquet.html">write.parquet</a></code>, <code><a 
href="write.text.html">write.text</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 head(df)
+## End(Not run)
+</code></pre>
+
+
+<hr /><div style="text-align: center;">[Package <em>SparkR</em> version 2.1.3 
<a href="00Index.html">Index</a>]</div>
+</body></html>


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