sdf_quantile

From sparklyr v0.7.0 by Javier Luraschi

Compute (Approximate) Quantiles with a Spark DataFrame

Given a numeric column within a Spark DataFrame, compute approximate quantiles (to some relative error).

Usage

sdf_quantile(x, column, probabilities = c(0, 0.25, 0.5, 0.75, 1),
  relative.error = 1e-05)

Arguments

x: A spark_connection, ml_pipeline, or a tbl_spark.
column: The column for which quantiles should be computed.
probabilities: A numeric vector of probabilities, for which quantiles should be computed.
relative.error: The relative error -- lower values imply more precision in the computed quantiles.

Documentation reproduced from package sparklyr, version 0.7.0, License: Apache License 2.0 | file LICENSE

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