sdf_runif: Generate random samples from the uniform distribution U(0,...

Description Usage Arguments See Also

Description

Generator method for creating a single-column Spark dataframes comprised of i.i.d. samples from the uniform distribution U(0, 1).

Usage

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sdf_runif(
  sc,
  n,
  min = 0,
  max = 1,
  num_partitions = NULL,
  seed = NULL,
  output_col = "x"
)

Arguments

sc

A Spark connection.

n

Sample Size (default: 1000).

min

The lower limit of the distribution.

max

The upper limit of the distribution.

num_partitions

Number of partitions in the resulting Spark dataframe (default: default parallelism of the Spark cluster).

seed

Random seed (default: a random long integer).

output_col

Name of the output column containing sample values (default: "x").

See Also

Other Spark statistical routines: sdf_rbeta(), sdf_rbinom(), sdf_rcauchy(), sdf_rchisq(), sdf_rexp(), sdf_rgamma(), sdf_rgeom(), sdf_rhyper(), sdf_rlnorm(), sdf_rnorm(), sdf_rpois(), sdf_rt(), sdf_rweibull()


sparklyr documentation built on Jan. 8, 2022, 5:06 p.m.