# sdf_pivot

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##### Pivot a Spark DataFrame

Construct a pivot table over a Spark Dataframe, using a syntax similar to that from reshape2::dcast.

##### Usage
sdf_pivot(x, formula, fun.aggregate = "count")
##### Arguments
x

A spark_connection, ml_pipeline, or a tbl_spark.

formula

A two-sided R formula of the form x_1 + x_2 + ... ~ y_1. The left-hand side of the formula indicates which variables are used for grouping, and the right-hand side indicates which variable is used for pivoting. Currently, only a single pivot column is supported.

fun.aggregate

How should the grouped dataset be aggregated? Can be a length-one character vector, giving the name of a Spark aggregation function to be called; a named R list mapping column names to an aggregation method, or an R function that is invoked on the grouped dataset.

• sdf_pivot