# sdf_quantile

From sparklyr v1.0.5
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 1.0.5, License: Apache License 2.0 | file LICENSE*

### Community examples

Looks like there are no examples yet.