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Posted to commits@spark.apache.org by sr...@apache.org on 2018/02/28 18:49:46 UTC
[40/51] [partial] spark-website git commit: Apache Spark 2.3.0
Release: Generated Docs
http://git-wip-us.apache.org/repos/asf/spark-website/blob/26c57a24/site/docs/2.3.0/api/R/schema.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 schema 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 schema {SparkR}"><tr><td>schema {SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>Get schema object</h2>
+
+<h3>Description</h3>
+
+<p>Returns the schema of this SparkDataFrame as a structType object.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+schema(x)
+
+## S4 method for signature 'SparkDataFrame'
+schema(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>schema 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="alias.html">alias</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,SparkDataFrame-method</a></code>,
+<code><a href="broadcast.html">broadcast</a></code>, <code><a href="cache.html">cache</a></code>,
+<code><a href="checkpoint.html">checkpoint</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="cube.html">cube</a></code>,
+<code><a href="dapplyCollect.html">dapplyCollect</a></code>, <code><a href="dapply.html">dapply</a></code>,
+<code><a href="describe.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="head.html">head</a></code>,
+<code><a href="hint.html">hint</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="isStreaming.html">isStreaming</a></code>,
+<code><a href="join.html">join</a></code>, <code><a href="limit.html">limit</a></code>,
+<code><a href="localCheckpoint.html">localCheckpoint</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="rollup.html">rollup</a></code>, <code><a href="sample.html">sample</a></code>,
+<code><a href="saveAsTable.html">saveAsTable</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="summary.html">summary</a></code>, <code><a href="take.html">take</a></code>,
+<code><a href="toJSON.html">toJSON</a></code>, <code><a href="unionByName.html">unionByName</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="withWatermark.html">withWatermark</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.stream.html">write.stream</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 <- "path/to/file.json"
+##D df <- read.json(path)
+##D dfSchema <- schema(df)
+## End(Not run)
+</code></pre>
+
+
+<hr /><div style="text-align: center;">[Package <em>SparkR</em> version 2.3.0 <a href="00Index.html">Index</a>]</div>
+</body></html>
http://git-wip-us.apache.org/repos/asf/spark-website/blob/26c57a24/site/docs/2.3.0/api/R/select.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: Select</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 select {SparkR}"><tr><td>select {SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>Select</h2>
+
+<h3>Description</h3>
+
+<p>Selects a set of columns with names or Column expressions.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+select(x, col, ...)
+
+## S4 method for signature 'SparkDataFrame'
+x$name
+
+## S4 replacement method for signature 'SparkDataFrame'
+x$name <- value
+
+## S4 method for signature 'SparkDataFrame,character'
+select(x, col, ...)
+
+## S4 method for signature 'SparkDataFrame,Column'
+select(x, col, ...)
+
+## S4 method for signature 'SparkDataFrame,list'
+select(x, col)
+</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>col</code></td>
+<td>
+<p>a list of columns or single Column or name.</p>
+</td></tr>
+<tr valign="top"><td><code>...</code></td>
+<td>
+<p>additional column(s) if only one column is specified in <code>col</code>.
+If more than one column is assigned in <code>col</code>, <code>...</code>
+should be left empty.</p>
+</td></tr>
+<tr valign="top"><td><code>name</code></td>
+<td>
+<p>name of a Column (without being wrapped by <code>""</code>).</p>
+</td></tr>
+<tr valign="top"><td><code>value</code></td>
+<td>
+<p>a Column or an atomic vector in the length of 1 as literal value, or <code>NULL</code>.
+If <code>NULL</code>, the specified Column is dropped.</p>
+</td></tr>
+</table>
+
+
+<h3>Value</h3>
+
+<p>A new SparkDataFrame with selected columns.
+</p>
+
+
+<h3>Note</h3>
+
+<p>$ since 1.4.0
+</p>
+<p>$<- since 1.4.0
+</p>
+<p>select(SparkDataFrame, character) since 1.4.0
+</p>
+<p>select(SparkDataFrame, Column) since 1.4.0
+</p>
+<p>select(SparkDataFrame, list) 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="alias.html">alias</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,SparkDataFrame-method</a></code>,
+<code><a href="broadcast.html">broadcast</a></code>, <code><a href="cache.html">cache</a></code>,
+<code><a href="checkpoint.html">checkpoint</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="cube.html">cube</a></code>,
+<code><a href="dapplyCollect.html">dapplyCollect</a></code>, <code><a href="dapply.html">dapply</a></code>,
+<code><a href="describe.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="head.html">head</a></code>,
+<code><a href="hint.html">hint</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="isStreaming.html">isStreaming</a></code>,
+<code><a href="join.html">join</a></code>, <code><a href="limit.html">limit</a></code>,
+<code><a href="localCheckpoint.html">localCheckpoint</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="rollup.html">rollup</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="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="summary.html">summary</a></code>, <code><a href="take.html">take</a></code>,
+<code><a href="toJSON.html">toJSON</a></code>, <code><a href="unionByName.html">unionByName</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="withWatermark.html">withWatermark</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.stream.html">write.stream</a></code>, <code><a href="write.text.html">write.text</a></code>
+</p>
+<p>Other subsetting functions: <code><a href="filter.html">filter</a></code>,
+<code><a href="subset.html">subset</a></code>
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run:
+##D select(df, "*")
+##D select(df, "col1", "col2")
+##D select(df, df$name, df$age + 1)
+##D select(df, c("col1", "col2"))
+##D select(df, list(df$name, df$age + 1))
+##D # Similar to R data frames columns can also be selected using $
+##D df[,df$age]
+## End(Not run)
+</code></pre>
+
+
+<hr /><div style="text-align: center;">[Package <em>SparkR</em> version 2.3.0 <a href="00Index.html">Index</a>]</div>
+</body></html>
http://git-wip-us.apache.org/repos/asf/spark-website/blob/26c57a24/site/docs/2.3.0/api/R/selectExpr.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: SelectExpr</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 selectExpr {SparkR}"><tr><td>selectExpr {SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>SelectExpr</h2>
+
+<h3>Description</h3>
+
+<p>Select from a SparkDataFrame using a set of SQL expressions.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+selectExpr(x, expr, ...)
+
+## S4 method for signature 'SparkDataFrame,character'
+selectExpr(x, expr, ...)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>x</code></td>
+<td>
+<p>A SparkDataFrame to be selected from.</p>
+</td></tr>
+<tr valign="top"><td><code>expr</code></td>
+<td>
+<p>A string containing a SQL expression</p>
+</td></tr>
+<tr valign="top"><td><code>...</code></td>
+<td>
+<p>Additional expressions</p>
+</td></tr>
+</table>
+
+
+<h3>Value</h3>
+
+<p>A SparkDataFrame
+</p>
+
+
+<h3>Note</h3>
+
+<p>selectExpr 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="alias.html">alias</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,SparkDataFrame-method</a></code>,
+<code><a href="broadcast.html">broadcast</a></code>, <code><a href="cache.html">cache</a></code>,
+<code><a href="checkpoint.html">checkpoint</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="cube.html">cube</a></code>,
+<code><a href="dapplyCollect.html">dapplyCollect</a></code>, <code><a href="dapply.html">dapply</a></code>,
+<code><a href="describe.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="head.html">head</a></code>,
+<code><a href="hint.html">hint</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="isStreaming.html">isStreaming</a></code>,
+<code><a href="join.html">join</a></code>, <code><a href="limit.html">limit</a></code>,
+<code><a href="localCheckpoint.html">localCheckpoint</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="rollup.html">rollup</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="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="summary.html">summary</a></code>, <code><a href="take.html">take</a></code>,
+<code><a href="toJSON.html">toJSON</a></code>, <code><a href="unionByName.html">unionByName</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="withWatermark.html">withWatermark</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.stream.html">write.stream</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 <- "path/to/file.json"
+##D df <- read.json(path)
+##D selectExpr(df, "col1", "(col2 * 5) as newCol")
+## End(Not run)
+</code></pre>
+
+
+<hr /><div style="text-align: center;">[Package <em>SparkR</em> version 2.3.0 <a href="00Index.html">Index</a>]</div>
+</body></html>
http://git-wip-us.apache.org/repos/asf/spark-website/blob/26c57a24/site/docs/2.3.0/api/R/setCheckpointDir.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: Set checkpoint directory</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 setCheckpointDir {SparkR}"><tr><td>setCheckpointDir {SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>Set checkpoint directory</h2>
+
+<h3>Description</h3>
+
+<p>Set the directory under which SparkDataFrame are going to be checkpointed. The directory must be
+a HDFS path if running on a cluster.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+setCheckpointDir(directory)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>directory</code></td>
+<td>
+<p>Directory path to checkpoint to</p>
+</td></tr>
+</table>
+
+
+<h3>Note</h3>
+
+<p>setCheckpointDir since 2.2.0
+</p>
+
+
+<h3>See Also</h3>
+
+<p><a href="checkpoint.html">checkpoint</a>
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run:
+##D setCheckpointDir("/checkpoint")
+## End(Not run)
+</code></pre>
+
+
+<hr /><div style="text-align: center;">[Package <em>SparkR</em> version 2.3.0 <a href="00Index.html">Index</a>]</div>
+</body></html>
http://git-wip-us.apache.org/repos/asf/spark-website/blob/26c57a24/site/docs/2.3.0/api/R/setCurrentDatabase.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: Sets the current default database</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 setCurrentDatabase {SparkR}"><tr><td>setCurrentDatabase {SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>Sets the current default database</h2>
+
+<h3>Description</h3>
+
+<p>Sets the current default database.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+setCurrentDatabase(databaseName)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>databaseName</code></td>
+<td>
+<p>name of the database</p>
+</td></tr>
+</table>
+
+
+<h3>Note</h3>
+
+<p>since 2.2.0
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run:
+##D sparkR.session()
+##D setCurrentDatabase("default")
+## End(Not run)
+</code></pre>
+
+
+<hr /><div style="text-align: center;">[Package <em>SparkR</em> version 2.3.0 <a href="00Index.html">Index</a>]</div>
+</body></html>
http://git-wip-us.apache.org/repos/asf/spark-website/blob/26c57a24/site/docs/2.3.0/api/R/setJobDescription.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: Set a human readable description of the current job.</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 setJobDescription {SparkR}"><tr><td>setJobDescription {SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>Set a human readable description of the current job.</h2>
+
+<h3>Description</h3>
+
+<p>Set a description that is shown as a job description in UI.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+setJobDescription(value)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>value</code></td>
+<td>
+<p>The job description of the current job.</p>
+</td></tr>
+</table>
+
+
+<h3>Note</h3>
+
+<p>setJobDescription since 2.3.0
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run:
+##D setJobDescription("This is an example job.")
+## End(Not run)
+</code></pre>
+
+
+<hr /><div style="text-align: center;">[Package <em>SparkR</em> version 2.3.0 <a href="00Index.html">Index</a>]</div>
+</body></html>
http://git-wip-us.apache.org/repos/asf/spark-website/blob/26c57a24/site/docs/2.3.0/api/R/setJobGroup.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: Assigns a group ID to all the jobs started by this thread...</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 setJobGroup {SparkR}"><tr><td>setJobGroup {SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>Assigns a group ID to all the jobs started by this thread until the group ID is set to a
+different value or cleared.</h2>
+
+<h3>Description</h3>
+
+<p>Assigns a group ID to all the jobs started by this thread until the group ID is set to a
+different value or cleared.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+## Default S3 method:
+setJobGroup(groupId, description, interruptOnCancel)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>groupId</code></td>
+<td>
+<p>the ID to be assigned to job groups.</p>
+</td></tr>
+<tr valign="top"><td><code>description</code></td>
+<td>
+<p>description for the job group ID.</p>
+</td></tr>
+<tr valign="top"><td><code>interruptOnCancel</code></td>
+<td>
+<p>flag to indicate if the job is interrupted on job cancellation.</p>
+</td></tr>
+</table>
+
+
+<h3>Note</h3>
+
+<p>setJobGroup since 1.5.0
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run:
+##D sparkR.session()
+##D setJobGroup("myJobGroup", "My job group description", TRUE)
+## End(Not run)
+</code></pre>
+
+
+<hr /><div style="text-align: center;">[Package <em>SparkR</em> version 2.3.0 <a href="00Index.html">Index</a>]</div>
+</body></html>
http://git-wip-us.apache.org/repos/asf/spark-website/blob/26c57a24/site/docs/2.3.0/api/R/setLocalProperty.html
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diff --git a/site/docs/2.3.0/api/R/setLocalProperty.html b/site/docs/2.3.0/api/R/setLocalProperty.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: Set a local property that affects jobs submitted from this...</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 setLocalProperty {SparkR}"><tr><td>setLocalProperty {SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>Set a local property that affects jobs submitted from this thread, such as the
+Spark fair scheduler pool.</h2>
+
+<h3>Description</h3>
+
+<p>Set a local property that affects jobs submitted from this thread, such as the
+Spark fair scheduler pool.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+setLocalProperty(key, value)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>key</code></td>
+<td>
+<p>The key for a local property.</p>
+</td></tr>
+<tr valign="top"><td><code>value</code></td>
+<td>
+<p>The value for a local property.</p>
+</td></tr>
+</table>
+
+
+<h3>Note</h3>
+
+<p>setLocalProperty since 2.3.0
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run:
+##D setLocalProperty("spark.scheduler.pool", "poolA")
+## End(Not run)
+</code></pre>
+
+
+<hr /><div style="text-align: center;">[Package <em>SparkR</em> version 2.3.0 <a href="00Index.html">Index</a>]</div>
+</body></html>
http://git-wip-us.apache.org/repos/asf/spark-website/blob/26c57a24/site/docs/2.3.0/api/R/setLogLevel.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: Set new log level</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 setLogLevel {SparkR}"><tr><td>setLogLevel {SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>Set new log level</h2>
+
+<h3>Description</h3>
+
+<p>Set new log level: "ALL", "DEBUG", "ERROR", "FATAL", "INFO", "OFF", "TRACE", "WARN"
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+setLogLevel(level)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>level</code></td>
+<td>
+<p>New log level</p>
+</td></tr>
+</table>
+
+
+<h3>Note</h3>
+
+<p>setLogLevel since 2.0.0
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run:
+##D setLogLevel("ERROR")
+## End(Not run)
+</code></pre>
+
+
+<hr /><div style="text-align: center;">[Package <em>SparkR</em> version 2.3.0 <a href="00Index.html">Index</a>]</div>
+</body></html>
http://git-wip-us.apache.org/repos/asf/spark-website/blob/26c57a24/site/docs/2.3.0/api/R/show.html
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diff --git a/site/docs/2.3.0/api/R/show.html b/site/docs/2.3.0/api/R/show.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: show</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 show {SparkR}"><tr><td>show {SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>show</h2>
+
+<h3>Description</h3>
+
+<p>Print class and type information of a Spark object.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+## S4 method for signature 'Column'
+show(object)
+
+## S4 method for signature 'GroupedData'
+show(object)
+
+## S4 method for signature 'SparkDataFrame'
+show(object)
+
+## S4 method for signature 'WindowSpec'
+show(object)
+
+## S4 method for signature 'StreamingQuery'
+show(object)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>object</code></td>
+<td>
+<p>a Spark object. Can be a SparkDataFrame, Column, GroupedData, WindowSpec.</p>
+</td></tr>
+</table>
+
+
+<h3>Note</h3>
+
+<p>show(Column) since 1.4.0
+</p>
+<p>show(GroupedData) since 1.4.0
+</p>
+<p>show(SparkDataFrame) since 1.4.0
+</p>
+<p>show(WindowSpec) since 2.0.0
+</p>
+<p>show(StreamingQuery) since 2.2.0
+</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="alias.html">alias</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,SparkDataFrame-method</a></code>,
+<code><a href="broadcast.html">broadcast</a></code>, <code><a href="cache.html">cache</a></code>,
+<code><a href="checkpoint.html">checkpoint</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="cube.html">cube</a></code>,
+<code><a href="dapplyCollect.html">dapplyCollect</a></code>, <code><a href="dapply.html">dapply</a></code>,
+<code><a href="describe.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="head.html">head</a></code>,
+<code><a href="hint.html">hint</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="isStreaming.html">isStreaming</a></code>,
+<code><a href="join.html">join</a></code>, <code><a href="limit.html">limit</a></code>,
+<code><a href="localCheckpoint.html">localCheckpoint</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="rollup.html">rollup</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="storageLevel.html">storageLevel</a></code>,
+<code><a href="str.html">str</a></code>, <code><a href="subset.html">subset</a></code>,
+<code><a href="summary.html">summary</a></code>, <code><a href="take.html">take</a></code>,
+<code><a href="toJSON.html">toJSON</a></code>, <code><a href="unionByName.html">unionByName</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="withWatermark.html">withWatermark</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.stream.html">write.stream</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 <- "path/to/file.json"
+##D df <- read.json(path)
+##D show(df)
+## End(Not run)
+</code></pre>
+
+
+<hr /><div style="text-align: center;">[Package <em>SparkR</em> version 2.3.0 <a href="00Index.html">Index</a>]</div>
+</body></html>
http://git-wip-us.apache.org/repos/asf/spark-website/blob/26c57a24/site/docs/2.3.0/api/R/showDF.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: showDF</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 showDF {SparkR}"><tr><td>showDF {SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>showDF</h2>
+
+<h3>Description</h3>
+
+<p>Print the first numRows rows of a SparkDataFrame
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+showDF(x, ...)
+
+## S4 method for signature 'SparkDataFrame'
+showDF(x, numRows = 20, truncate = TRUE,
+ vertical = FALSE)
+</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>further arguments to be passed to or from other methods.</p>
+</td></tr>
+<tr valign="top"><td><code>numRows</code></td>
+<td>
+<p>the number of rows to print. Defaults to 20.</p>
+</td></tr>
+<tr valign="top"><td><code>truncate</code></td>
+<td>
+<p>whether truncate long strings. If <code>TRUE</code>, strings more than
+20 characters will be truncated. However, if set greater than zero,
+truncates strings longer than <code>truncate</code> characters and all cells
+will be aligned right.</p>
+</td></tr>
+<tr valign="top"><td><code>vertical</code></td>
+<td>
+<p>whether print output rows vertically (one line per column value).</p>
+</td></tr>
+</table>
+
+
+<h3>Note</h3>
+
+<p>showDF 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="alias.html">alias</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,SparkDataFrame-method</a></code>,
+<code><a href="broadcast.html">broadcast</a></code>, <code><a href="cache.html">cache</a></code>,
+<code><a href="checkpoint.html">checkpoint</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="cube.html">cube</a></code>,
+<code><a href="dapplyCollect.html">dapplyCollect</a></code>, <code><a href="dapply.html">dapply</a></code>,
+<code><a href="describe.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="head.html">head</a></code>,
+<code><a href="hint.html">hint</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="isStreaming.html">isStreaming</a></code>,
+<code><a href="join.html">join</a></code>, <code><a href="limit.html">limit</a></code>,
+<code><a href="localCheckpoint.html">localCheckpoint</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="rollup.html">rollup</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="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="summary.html">summary</a></code>, <code><a href="take.html">take</a></code>,
+<code><a href="toJSON.html">toJSON</a></code>, <code><a href="unionByName.html">unionByName</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="withWatermark.html">withWatermark</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.stream.html">write.stream</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 <- "path/to/file.json"
+##D df <- read.json(path)
+##D showDF(df)
+## End(Not run)
+</code></pre>
+
+
+<hr /><div style="text-align: center;">[Package <em>SparkR</em> version 2.3.0 <a href="00Index.html">Index</a>]</div>
+</body></html>
http://git-wip-us.apache.org/repos/asf/spark-website/blob/26c57a24/site/docs/2.3.0/api/R/spark.addFile.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: Add a file or directory to be downloaded with this Spark job...</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 spark.addFile {SparkR}"><tr><td>spark.addFile {SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>Add a file or directory to be downloaded with this Spark job on every node.</h2>
+
+<h3>Description</h3>
+
+<p>The path passed can be either a local file, a file in HDFS (or other Hadoop-supported
+filesystems), or an HTTP, HTTPS or FTP URI. To access the file in Spark jobs,
+use spark.getSparkFiles(fileName) to find its download location.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+spark.addFile(path, recursive = FALSE)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>path</code></td>
+<td>
+<p>The path of the file to be added</p>
+</td></tr>
+<tr valign="top"><td><code>recursive</code></td>
+<td>
+<p>Whether to add files recursively from the path. Default is FALSE.</p>
+</td></tr>
+</table>
+
+
+<h3>Details</h3>
+
+<p>A directory can be given if the recursive option is set to true.
+Currently directories are only supported for Hadoop-supported filesystems.
+Refer Hadoop-supported filesystems at <a href="https://wiki.apache.org/hadoop/HCFS">https://wiki.apache.org/hadoop/HCFS</a>.
+</p>
+
+
+<h3>Note</h3>
+
+<p>spark.addFile since 2.1.0
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run:
+##D spark.addFile("~/myfile")
+## End(Not run)
+</code></pre>
+
+
+<hr /><div style="text-align: center;">[Package <em>SparkR</em> version 2.3.0 <a href="00Index.html">Index</a>]</div>
+</body></html>
http://git-wip-us.apache.org/repos/asf/spark-website/blob/26c57a24/site/docs/2.3.0/api/R/spark.als.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: Alternating Least Squares (ALS) for Collaborative Filtering</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 spark.als {SparkR}"><tr><td>spark.als {SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>Alternating Least Squares (ALS) for Collaborative Filtering</h2>
+
+<h3>Description</h3>
+
+<p><code>spark.als</code> learns latent factors in collaborative filtering via alternating least
+squares. Users can call <code>summary</code> to obtain fitted latent factors, <code>predict</code>
+to make predictions on new data, and <code>write.ml</code>/<code>read.ml</code> to save/load fitted models.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+spark.als(data, ...)
+
+## S4 method for signature 'SparkDataFrame'
+spark.als(data, ratingCol = "rating",
+ userCol = "user", itemCol = "item", rank = 10, regParam = 0.1,
+ maxIter = 10, nonnegative = FALSE, implicitPrefs = FALSE, alpha = 1,
+ numUserBlocks = 10, numItemBlocks = 10, checkpointInterval = 10,
+ seed = 0)
+
+## S4 method for signature 'ALSModel'
+summary(object)
+
+## S4 method for signature 'ALSModel'
+predict(object, newData)
+
+## S4 method for signature 'ALSModel,character'
+write.ml(object, path, overwrite = FALSE)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>data</code></td>
+<td>
+<p>a SparkDataFrame for training.</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>ratingCol</code></td>
+<td>
+<p>column name for ratings.</p>
+</td></tr>
+<tr valign="top"><td><code>userCol</code></td>
+<td>
+<p>column name for user ids. Ids must be (or can be coerced into) integers.</p>
+</td></tr>
+<tr valign="top"><td><code>itemCol</code></td>
+<td>
+<p>column name for item ids. Ids must be (or can be coerced into) integers.</p>
+</td></tr>
+<tr valign="top"><td><code>rank</code></td>
+<td>
+<p>rank of the matrix factorization (> 0).</p>
+</td></tr>
+<tr valign="top"><td><code>regParam</code></td>
+<td>
+<p>regularization parameter (>= 0).</p>
+</td></tr>
+<tr valign="top"><td><code>maxIter</code></td>
+<td>
+<p>maximum number of iterations (>= 0).</p>
+</td></tr>
+<tr valign="top"><td><code>nonnegative</code></td>
+<td>
+<p>logical value indicating whether to apply nonnegativity constraints.</p>
+</td></tr>
+<tr valign="top"><td><code>implicitPrefs</code></td>
+<td>
+<p>logical value indicating whether to use implicit preference.</p>
+</td></tr>
+<tr valign="top"><td><code>alpha</code></td>
+<td>
+<p>alpha parameter in the implicit preference formulation (>= 0).</p>
+</td></tr>
+<tr valign="top"><td><code>numUserBlocks</code></td>
+<td>
+<p>number of user blocks used to parallelize computation (> 0).</p>
+</td></tr>
+<tr valign="top"><td><code>numItemBlocks</code></td>
+<td>
+<p>number of item blocks used to parallelize computation (> 0).</p>
+</td></tr>
+<tr valign="top"><td><code>checkpointInterval</code></td>
+<td>
+<p>number of checkpoint intervals (>= 1) or disable checkpoint (-1).
+Note: this setting will be ignored if the checkpoint directory is not
+set.</p>
+</td></tr>
+<tr valign="top"><td><code>seed</code></td>
+<td>
+<p>integer seed for random number generation.</p>
+</td></tr>
+<tr valign="top"><td><code>object</code></td>
+<td>
+<p>a fitted ALS model.</p>
+</td></tr>
+<tr valign="top"><td><code>newData</code></td>
+<td>
+<p>a SparkDataFrame for testing.</p>
+</td></tr>
+<tr valign="top"><td><code>path</code></td>
+<td>
+<p>the directory where the model is saved.</p>
+</td></tr>
+<tr valign="top"><td><code>overwrite</code></td>
+<td>
+<p>logical value indicating whether to overwrite if the output path
+already exists. Default is FALSE which means throw exception
+if the output path exists.</p>
+</td></tr>
+</table>
+
+
+<h3>Details</h3>
+
+<p>For more details, see
+<a href="http://spark.apache.org/docs/latest/ml-collaborative-filtering.html">MLlib:
+Collaborative Filtering</a>.
+</p>
+
+
+<h3>Value</h3>
+
+<p><code>spark.als</code> returns a fitted ALS model.
+</p>
+<p><code>summary</code> returns summary information of the fitted model, which is a list.
+The list includes <code>user</code> (the names of the user column),
+<code>item</code> (the item column), <code>rating</code> (the rating column), <code>userFactors</code>
+(the estimated user factors), <code>itemFactors</code> (the estimated item factors),
+and <code>rank</code> (rank of the matrix factorization model).
+</p>
+<p><code>predict</code> returns a SparkDataFrame containing predicted values.
+</p>
+
+
+<h3>Note</h3>
+
+<p>spark.als since 2.1.0
+</p>
+<p>summary(ALSModel) since 2.1.0
+</p>
+<p>predict(ALSModel) since 2.1.0
+</p>
+<p>write.ml(ALSModel, character) since 2.1.0
+</p>
+
+
+<h3>See Also</h3>
+
+<p><a href="read.ml.html">read.ml</a>
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run:
+##D ratings <- list(list(0, 0, 4.0), list(0, 1, 2.0), list(1, 1, 3.0), list(1, 2, 4.0),
+##D list(2, 1, 1.0), list(2, 2, 5.0))
+##D df <- createDataFrame(ratings, c("user", "item", "rating"))
+##D model <- spark.als(df, "rating", "user", "item")
+##D
+##D # extract latent factors
+##D stats <- summary(model)
+##D userFactors <- stats$userFactors
+##D itemFactors <- stats$itemFactors
+##D
+##D # make predictions
+##D predicted <- predict(model, df)
+##D showDF(predicted)
+##D
+##D # save and load the model
+##D path <- "path/to/model"
+##D write.ml(model, path)
+##D savedModel <- read.ml(path)
+##D summary(savedModel)
+##D
+##D # set other arguments
+##D modelS <- spark.als(df, "rating", "user", "item", rank = 20,
+##D regParam = 0.1, nonnegative = TRUE)
+##D statsS <- summary(modelS)
+## End(Not run)
+</code></pre>
+
+
+<hr /><div style="text-align: center;">[Package <em>SparkR</em> version 2.3.0 <a href="00Index.html">Index</a>]</div>
+</body></html>
http://git-wip-us.apache.org/repos/asf/spark-website/blob/26c57a24/site/docs/2.3.0/api/R/spark.bisectingKmeans.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: Bisecting K-Means Clustering 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 spark.bisectingKmeans {SparkR}"><tr><td>spark.bisectingKmeans {SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>Bisecting K-Means Clustering Model</h2>
+
+<h3>Description</h3>
+
+<p>Fits a bisecting k-means clustering model against a SparkDataFrame.
+Users can call <code>summary</code> to print a summary of the fitted model, <code>predict</code> to make
+predictions on new data, and <code>write.ml</code>/<code>read.ml</code> to save/load fitted models.
+</p>
+<p>Get fitted result from a bisecting k-means model.
+Note: A saved-loaded model does not support this method.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+spark.bisectingKmeans(data, formula, ...)
+
+## S4 method for signature 'SparkDataFrame,formula'
+spark.bisectingKmeans(data, formula, k = 4,
+ maxIter = 20, seed = NULL, minDivisibleClusterSize = 1)
+
+## S4 method for signature 'BisectingKMeansModel'
+summary(object)
+
+## S4 method for signature 'BisectingKMeansModel'
+predict(object, newData)
+
+## S4 method for signature 'BisectingKMeansModel'
+fitted(object, method = c("centers",
+ "classes"))
+
+## S4 method for signature 'BisectingKMeansModel,character'
+write.ml(object, path,
+ overwrite = FALSE)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>data</code></td>
+<td>
+<p>a SparkDataFrame for training.</p>
+</td></tr>
+<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 '-'.
+Note that the response variable of formula is empty in spark.bisectingKmeans.</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>k</code></td>
+<td>
+<p>the desired number of leaf clusters. Must be > 1.
+The actual number could be smaller if there are no divisible leaf clusters.</p>
+</td></tr>
+<tr valign="top"><td><code>maxIter</code></td>
+<td>
+<p>maximum iteration number.</p>
+</td></tr>
+<tr valign="top"><td><code>seed</code></td>
+<td>
+<p>the random seed.</p>
+</td></tr>
+<tr valign="top"><td><code>minDivisibleClusterSize</code></td>
+<td>
+<p>The minimum number of points (if greater than or equal to 1.0)
+or the minimum proportion of points (if less than 1.0) of a
+divisible cluster. Note that it is an expert parameter. The
+default value should be good enough for most cases.</p>
+</td></tr>
+<tr valign="top"><td><code>object</code></td>
+<td>
+<p>a fitted bisecting k-means model.</p>
+</td></tr>
+<tr valign="top"><td><code>newData</code></td>
+<td>
+<p>a SparkDataFrame for testing.</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>
+<tr valign="top"><td><code>path</code></td>
+<td>
+<p>the directory where the model is saved.</p>
+</td></tr>
+<tr valign="top"><td><code>overwrite</code></td>
+<td>
+<p>overwrites or not if the output path already exists. Default is FALSE
+which means throw exception if the output path exists.</p>
+</td></tr>
+</table>
+
+
+<h3>Value</h3>
+
+<p><code>spark.bisectingKmeans</code> returns a fitted bisecting k-means model.
+</p>
+<p><code>summary</code> returns summary information of the fitted model, which is a list.
+The list includes the model's <code>k</code> (number of cluster centers),
+<code>coefficients</code> (model cluster centers),
+<code>size</code> (number of data points in each cluster), <code>cluster</code>
+(cluster centers of the transformed data; cluster is NULL if is.loaded is TRUE),
+and <code>is.loaded</code> (whether the model is loaded from a saved file).
+</p>
+<p><code>predict</code> returns the predicted values based on a bisecting k-means model.
+</p>
+<p><code>fitted</code> returns a SparkDataFrame containing fitted values.
+</p>
+
+
+<h3>Note</h3>
+
+<p>spark.bisectingKmeans since 2.2.0
+</p>
+<p>summary(BisectingKMeansModel) since 2.2.0
+</p>
+<p>predict(BisectingKMeansModel) since 2.2.0
+</p>
+<p>fitted since 2.2.0
+</p>
+<p>write.ml(BisectingKMeansModel, character) since 2.2.0
+</p>
+
+
+<h3>See Also</h3>
+
+<p><a href="predict.html">predict</a>, <a href="read.ml.html">read.ml</a>, <a href="write.ml.html">write.ml</a>
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run:
+##D sparkR.session()
+##D t <- as.data.frame(Titanic)
+##D df <- createDataFrame(t)
+##D model <- spark.bisectingKmeans(df, Class ~ Survived, k = 4)
+##D summary(model)
+##D
+##D # get fitted result from a bisecting k-means model
+##D fitted.model <- fitted(model, "centers")
+##D showDF(fitted.model)
+##D
+##D # fitted values on training data
+##D fitted <- predict(model, df)
+##D head(select(fitted, "Class", "prediction"))
+##D
+##D # save fitted model to input path
+##D path <- "path/to/model"
+##D write.ml(model, path)
+##D
+##D # can also read back the saved model and print
+##D savedModel <- read.ml(path)
+##D summary(savedModel)
+## End(Not run)
+</code></pre>
+
+
+<hr /><div style="text-align: center;">[Package <em>SparkR</em> version 2.3.0 <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: Decision Tree Model for Regression and Classification</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 spark.decisionTree {SparkR}"><tr><td>spark.decisionTree {SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>Decision Tree Model for Regression and Classification</h2>
+
+<h3>Description</h3>
+
+<p><code>spark.decisionTree</code> fits a Decision Tree Regression model or Classification model on
+a SparkDataFrame. Users can call <code>summary</code> to get a summary of the fitted Decision Tree
+model, <code>predict</code> to make predictions on new data, and <code>write.ml</code>/<code>read.ml</code> to
+save/load fitted models.
+For more details, see
+<a href="http://spark.apache.org/docs/latest/ml-classification-regression.html#decision-tree-regression">
+Decision Tree Regression</a> and
+<a href="http://spark.apache.org/docs/latest/ml-classification-regression.html#decision-tree-classifier">
+Decision Tree Classification</a>
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+spark.decisionTree(data, formula, ...)
+
+## S4 method for signature 'SparkDataFrame,formula'
+spark.decisionTree(data, formula,
+ type = c("regression", "classification"), maxDepth = 5, maxBins = 32,
+ impurity = NULL, seed = NULL, minInstancesPerNode = 1,
+ minInfoGain = 0, checkpointInterval = 10, maxMemoryInMB = 256,
+ cacheNodeIds = FALSE, handleInvalid = c("error", "keep", "skip"))
+
+## S4 method for signature 'DecisionTreeRegressionModel'
+summary(object)
+
+## S3 method for class 'summary.DecisionTreeRegressionModel'
+print(x, ...)
+
+## S4 method for signature 'DecisionTreeClassificationModel'
+summary(object)
+
+## S3 method for class 'summary.DecisionTreeClassificationModel'
+print(x, ...)
+
+## S4 method for signature 'DecisionTreeRegressionModel'
+predict(object, newData)
+
+## S4 method for signature 'DecisionTreeClassificationModel'
+predict(object, newData)
+
+## S4 method for signature 'DecisionTreeRegressionModel,character'
+write.ml(object, path,
+ overwrite = FALSE)
+
+## S4 method for signature 'DecisionTreeClassificationModel,character'
+write.ml(object, path,
+ overwrite = FALSE)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>data</code></td>
+<td>
+<p>a SparkDataFrame for training.</p>
+</td></tr>
+<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>...</code></td>
+<td>
+<p>additional arguments passed to the method.</p>
+</td></tr>
+<tr valign="top"><td><code>type</code></td>
+<td>
+<p>type of model, one of "regression" or "classification", to fit</p>
+</td></tr>
+<tr valign="top"><td><code>maxDepth</code></td>
+<td>
+<p>Maximum depth of the tree (>= 0).</p>
+</td></tr>
+<tr valign="top"><td><code>maxBins</code></td>
+<td>
+<p>Maximum number of bins used for discretizing continuous features and for choosing
+how to split on features at each node. More bins give higher granularity. Must be
+>= 2 and >= number of categories in any categorical feature.</p>
+</td></tr>
+<tr valign="top"><td><code>impurity</code></td>
+<td>
+<p>Criterion used for information gain calculation.
+For regression, must be "variance". For classification, must be one of
+"entropy" and "gini", default is "gini".</p>
+</td></tr>
+<tr valign="top"><td><code>seed</code></td>
+<td>
+<p>integer seed for random number generation.</p>
+</td></tr>
+<tr valign="top"><td><code>minInstancesPerNode</code></td>
+<td>
+<p>Minimum number of instances each child must have after split.</p>
+</td></tr>
+<tr valign="top"><td><code>minInfoGain</code></td>
+<td>
+<p>Minimum information gain for a split to be considered at a tree node.</p>
+</td></tr>
+<tr valign="top"><td><code>checkpointInterval</code></td>
+<td>
+<p>Param for set checkpoint interval (>= 1) or disable checkpoint (-1).
+Note: this setting will be ignored if the checkpoint directory is not
+set.</p>
+</td></tr>
+<tr valign="top"><td><code>maxMemoryInMB</code></td>
+<td>
+<p>Maximum memory in MB allocated to histogram aggregation.</p>
+</td></tr>
+<tr valign="top"><td><code>cacheNodeIds</code></td>
+<td>
+<p>If FALSE, the algorithm will pass trees to executors to match instances with
+nodes. If TRUE, the algorithm will cache node IDs for each instance. Caching
+can speed up training of deeper trees. Users can set how often should the
+cache be checkpointed or disable it by setting checkpointInterval.</p>
+</td></tr>
+<tr valign="top"><td><code>handleInvalid</code></td>
+<td>
+<p>How to handle invalid data (unseen labels or NULL values) in features and
+label column of string type in classification model.
+Supported options: "skip" (filter out rows with invalid data),
+"error" (throw an error), "keep" (put invalid data in
+a special additional bucket, at index numLabels). Default
+is "error".</p>
+</td></tr>
+<tr valign="top"><td><code>object</code></td>
+<td>
+<p>A fitted Decision Tree regression model or classification model.</p>
+</td></tr>
+<tr valign="top"><td><code>x</code></td>
+<td>
+<p>summary object of Decision Tree regression model or classification model
+returned by <code>summary</code>.</p>
+</td></tr>
+<tr valign="top"><td><code>newData</code></td>
+<td>
+<p>a SparkDataFrame for testing.</p>
+</td></tr>
+<tr valign="top"><td><code>path</code></td>
+<td>
+<p>The directory where the model is saved.</p>
+</td></tr>
+<tr valign="top"><td><code>overwrite</code></td>
+<td>
+<p>Overwrites or not if the output path already exists. Default is FALSE
+which means throw exception if the output path exists.</p>
+</td></tr>
+</table>
+
+
+<h3>Value</h3>
+
+<p><code>spark.decisionTree</code> returns a fitted Decision Tree model.
+</p>
+<p><code>summary</code> returns summary information of the fitted model, which is a list.
+The list of components includes <code>formula</code> (formula),
+<code>numFeatures</code> (number of features), <code>features</code> (list of features),
+<code>featureImportances</code> (feature importances), and <code>maxDepth</code> (max depth of
+trees).
+</p>
+<p><code>predict</code> returns a SparkDataFrame containing predicted labeled in a column named
+"prediction".
+</p>
+
+
+<h3>Note</h3>
+
+<p>spark.decisionTree since 2.3.0
+</p>
+<p>summary(DecisionTreeRegressionModel) since 2.3.0
+</p>
+<p>print.summary.DecisionTreeRegressionModel since 2.3.0
+</p>
+<p>summary(DecisionTreeClassificationModel) since 2.3.0
+</p>
+<p>print.summary.DecisionTreeClassificationModel since 2.3.0
+</p>
+<p>predict(DecisionTreeRegressionModel) since 2.3.0
+</p>
+<p>predict(DecisionTreeClassificationModel) since 2.3.0
+</p>
+<p>write.ml(DecisionTreeRegressionModel, character) since 2.3.0
+</p>
+<p>write.ml(DecisionTreeClassificationModel, character) since 2.3.0
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run:
+##D # fit a Decision Tree Regression Model
+##D df <- createDataFrame(longley)
+##D model <- spark.decisionTree(df, Employed ~ ., type = "regression", maxDepth = 5, maxBins = 16)
+##D
+##D # get the summary of the model
+##D summary(model)
+##D
+##D # make predictions
+##D predictions <- predict(model, df)
+##D
+##D # save and load the model
+##D path <- "path/to/model"
+##D write.ml(model, path)
+##D savedModel <- read.ml(path)
+##D summary(savedModel)
+##D
+##D # fit a Decision Tree Classification Model
+##D t <- as.data.frame(Titanic)
+##D df <- createDataFrame(t)
+##D model <- spark.decisionTree(df, Survived ~ Freq + Age, "classification")
+## End(Not run)
+</code></pre>
+
+
+<hr /><div style="text-align: center;">[Package <em>SparkR</em> version 2.3.0 <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: FP-growth</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 spark.fpGrowth {SparkR}"><tr><td>spark.fpGrowth {SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>FP-growth</h2>
+
+<h3>Description</h3>
+
+<p>A parallel FP-growth algorithm to mine frequent itemsets.
+<code>spark.fpGrowth</code> fits a FP-growth model on a SparkDataFrame. Users can
+<code>spark.freqItemsets</code> to get frequent itemsets, <code>spark.associationRules</code> to get
+association rules, <code>predict</code> to make predictions on new data based on generated association
+rules, and <code>write.ml</code>/<code>read.ml</code> to save/load fitted models.
+For more details, see
+<a href="https://spark.apache.org/docs/latest/mllib-frequent-pattern-mining.html#fp-growth">
+FP-growth</a>.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+spark.fpGrowth(data, ...)
+
+spark.freqItemsets(object)
+
+spark.associationRules(object)
+
+## S4 method for signature 'SparkDataFrame'
+spark.fpGrowth(data, minSupport = 0.3,
+ minConfidence = 0.8, itemsCol = "items", numPartitions = NULL)
+
+## S4 method for signature 'FPGrowthModel'
+spark.freqItemsets(object)
+
+## S4 method for signature 'FPGrowthModel'
+spark.associationRules(object)
+
+## S4 method for signature 'FPGrowthModel'
+predict(object, newData)
+
+## S4 method for signature 'FPGrowthModel,character'
+write.ml(object, path, overwrite = FALSE)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>data</code></td>
+<td>
+<p>A SparkDataFrame for training.</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>object</code></td>
+<td>
+<p>a fitted FPGrowth model.</p>
+</td></tr>
+<tr valign="top"><td><code>minSupport</code></td>
+<td>
+<p>Minimal support level.</p>
+</td></tr>
+<tr valign="top"><td><code>minConfidence</code></td>
+<td>
+<p>Minimal confidence level.</p>
+</td></tr>
+<tr valign="top"><td><code>itemsCol</code></td>
+<td>
+<p>Features column name.</p>
+</td></tr>
+<tr valign="top"><td><code>numPartitions</code></td>
+<td>
+<p>Number of partitions used for fitting.</p>
+</td></tr>
+<tr valign="top"><td><code>newData</code></td>
+<td>
+<p>a SparkDataFrame for testing.</p>
+</td></tr>
+<tr valign="top"><td><code>path</code></td>
+<td>
+<p>the directory where the model is saved.</p>
+</td></tr>
+<tr valign="top"><td><code>overwrite</code></td>
+<td>
+<p>logical value indicating whether to overwrite if the output path
+already exists. Default is FALSE which means throw exception
+if the output path exists.</p>
+</td></tr>
+</table>
+
+
+<h3>Value</h3>
+
+<p><code>spark.fpGrowth</code> returns a fitted FPGrowth model.
+</p>
+<p>A <code>SparkDataFrame</code> with frequent itemsets.
+The <code>SparkDataFrame</code> contains two columns:
+<code>items</code> (an array of the same type as the input column)
+and <code>freq</code> (frequency of the itemset).
+</p>
+<p>A <code>SparkDataFrame</code> with association rules.
+The <code>SparkDataFrame</code> contains three columns:
+<code>antecedent</code> (an array of the same type as the input column),
+<code>consequent</code> (an array of the same type as the input column),
+and <code>condfidence</code> (confidence).
+</p>
+<p><code>predict</code> returns a SparkDataFrame containing predicted values.
+</p>
+
+
+<h3>Note</h3>
+
+<p>spark.fpGrowth since 2.2.0
+</p>
+<p>spark.freqItemsets(FPGrowthModel) since 2.2.0
+</p>
+<p>spark.associationRules(FPGrowthModel) since 2.2.0
+</p>
+<p>predict(FPGrowthModel) since 2.2.0
+</p>
+<p>write.ml(FPGrowthModel, character) since 2.2.0
+</p>
+
+
+<h3>See Also</h3>
+
+<p><a href="read.ml.html">read.ml</a>
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run:
+##D raw_data <- read.df(
+##D "data/mllib/sample_fpgrowth.txt",
+##D source = "csv",
+##D schema = structType(structField("raw_items", "string")))
+##D
+##D data <- selectExpr(raw_data, "split(raw_items, ' ') as items")
+##D model <- spark.fpGrowth(data)
+##D
+##D # Show frequent itemsets
+##D frequent_itemsets <- spark.freqItemsets(model)
+##D showDF(frequent_itemsets)
+##D
+##D # Show association rules
+##D association_rules <- spark.associationRules(model)
+##D showDF(association_rules)
+##D
+##D # Predict on new data
+##D new_itemsets <- data.frame(items = c("t", "t,s"))
+##D new_data <- selectExpr(createDataFrame(new_itemsets), "split(items, ',') as items")
+##D predict(model, new_data)
+##D
+##D # Save and load model
+##D path <- "/path/to/model"
+##D write.ml(model, path)
+##D read.ml(path)
+##D
+##D # Optional arguments
+##D baskets_data <- selectExpr(createDataFrame(itemsets), "split(items, ',') as baskets")
+##D another_model <- spark.fpGrowth(data, minSupport = 0.1, minConfidence = 0.5,
+##D itemsCol = "baskets", numPartitions = 10)
+## End(Not run)
+</code></pre>
+
+
+<hr /><div style="text-align: center;">[Package <em>SparkR</em> version 2.3.0 <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: Multivariate Gaussian Mixture Model (GMM)</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 spark.gaussianMixture {SparkR}"><tr><td>spark.gaussianMixture {SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
+
+<h2>Multivariate Gaussian Mixture Model (GMM)</h2>
+
+<h3>Description</h3>
+
+<p>Fits multivariate gaussian mixture model against a SparkDataFrame, similarly to R's
+mvnormalmixEM(). Users can call <code>summary</code> to print a summary of the fitted model,
+<code>predict</code> to make predictions on new data, and <code>write.ml</code>/<code>read.ml</code>
+to save/load fitted models.
+</p>
+
+
+<h3>Usage</h3>
+
+<pre>
+spark.gaussianMixture(data, formula, ...)
+
+## S4 method for signature 'SparkDataFrame,formula'
+spark.gaussianMixture(data, formula, k = 2,
+ maxIter = 100, tol = 0.01)
+
+## S4 method for signature 'GaussianMixtureModel'
+summary(object)
+
+## S4 method for signature 'GaussianMixtureModel'
+predict(object, newData)
+
+## S4 method for signature 'GaussianMixtureModel,character'
+write.ml(object, path,
+ overwrite = FALSE)
+</pre>
+
+
+<h3>Arguments</h3>
+
+<table summary="R argblock">
+<tr valign="top"><td><code>data</code></td>
+<td>
+<p>a SparkDataFrame for training.</p>
+</td></tr>
+<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 '-'.
+Note that the response variable of formula is empty in spark.gaussianMixture.</p>
+</td></tr>
+<tr valign="top"><td><code>...</code></td>
+<td>
+<p>additional arguments passed to the method.</p>
+</td></tr>
+<tr valign="top"><td><code>k</code></td>
+<td>
+<p>number of independent Gaussians in the mixture model.</p>
+</td></tr>
+<tr valign="top"><td><code>maxIter</code></td>
+<td>
+<p>maximum iteration number.</p>
+</td></tr>
+<tr valign="top"><td><code>tol</code></td>
+<td>
+<p>the convergence tolerance.</p>
+</td></tr>
+<tr valign="top"><td><code>object</code></td>
+<td>
+<p>a fitted gaussian mixture model.</p>
+</td></tr>
+<tr valign="top"><td><code>newData</code></td>
+<td>
+<p>a SparkDataFrame for testing.</p>
+</td></tr>
+<tr valign="top"><td><code>path</code></td>
+<td>
+<p>the directory where the model is saved.</p>
+</td></tr>
+<tr valign="top"><td><code>overwrite</code></td>
+<td>
+<p>overwrites or not if the output path already exists. Default is FALSE
+which means throw exception if the output path exists.</p>
+</td></tr>
+</table>
+
+
+<h3>Value</h3>
+
+<p><code>spark.gaussianMixture</code> returns a fitted multivariate gaussian mixture model.
+</p>
+<p><code>summary</code> returns summary of the fitted model, which is a list.
+The list includes the model's <code>lambda</code> (lambda), <code>mu</code> (mu),
+<code>sigma</code> (sigma), <code>loglik</code> (loglik), and <code>posterior</code> (posterior).
+</p>
+<p><code>predict</code> returns a SparkDataFrame containing predicted labels in a column named
+"prediction".
+</p>
+
+
+<h3>Note</h3>
+
+<p>spark.gaussianMixture since 2.1.0
+</p>
+<p>summary(GaussianMixtureModel) since 2.1.0
+</p>
+<p>predict(GaussianMixtureModel) since 2.1.0
+</p>
+<p>write.ml(GaussianMixtureModel, character) since 2.1.0
+</p>
+
+
+<h3>See Also</h3>
+
+<p>mixtools: <a href="https://cran.r-project.org/package=mixtools">https://cran.r-project.org/package=mixtools</a>
+</p>
+<p><a href="predict.html">predict</a>, <a href="read.ml.html">read.ml</a>, <a href="write.ml.html">write.ml</a>
+</p>
+
+
+<h3>Examples</h3>
+
+<pre><code class="r">## Not run:
+##D sparkR.session()
+##D library(mvtnorm)
+##D set.seed(100)
+##D a <- rmvnorm(4, c(0, 0))
+##D b <- rmvnorm(6, c(3, 4))
+##D data <- rbind(a, b)
+##D df <- createDataFrame(as.data.frame(data))
+##D model <- spark.gaussianMixture(df, ~ V1 + V2, k = 2)
+##D summary(model)
+##D
+##D # fitted values on training data
+##D fitted <- predict(model, df)
+##D head(select(fitted, "V1", "prediction"))
+##D
+##D # save fitted model to input path
+##D path <- "path/to/model"
+##D write.ml(model, path)
+##D
+##D # can also read back the saved model and print
+##D savedModel <- read.ml(path)
+##D summary(savedModel)
+## End(Not run)
+</code></pre>
+
+
+<hr /><div style="text-align: center;">[Package <em>SparkR</em> version 2.3.0 <a href="00Index.html">Index</a>]</div>
+</body></html>
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