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| <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>character name(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><a href="summarize.html">agg</a>, <a href="cube.html">cube</a>, <a href="rollup.html">rollup</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="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>, |
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| <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>, |
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| </p> |
| |
| |
| <h3>Examples</h3> |
| |
| <pre><code class="r">## Not run: |
| ##D # Compute the average for all numeric columns grouped by department. |
| ##D avg(groupBy(df, "department")) |
| ##D |
| ##D # Compute the max age and average salary, grouped by department and gender. |
| ##D agg(groupBy(df, "department", "gender"), salary="avg", "age" -> "max") |
| ## End(Not run) |
| </code></pre> |
| |
| |
| <hr /><div style="text-align: center;">[Package <em>SparkR</em> version 2.3.2 <a href="00Index.html">Index</a>]</div> |
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